# ROSHWIN - Full Website Content > The complete text of every page on https://roshwin.ai, including all service descriptions and the full text of every Insights article. A shorter overview is at https://roshwin.ai/llms.txt. --- # ROSHWIN | Global Legal Solutions, Built AI-First URL: https://roshwin.ai/ Summary: Legal operations, litigation support, contract management and compliance for law firms and in-house legal teams, delivered by legal experts with AI at the core. ## Global legal solutions, built AI-first. People, process and technology with AI at the core. A modern way to run, transform and scale legal work for law firms and in-house legal teams. People People Process Technology AI AI at the core of every solution Start a Conversation Explore 17 Services Four practice areas Litigation and Investigation Contracts Management Compliance Management Legal Digital Transformation 0 Continents served 0% Client retention 0+ Years combined leadership experience [Image: ROSHWIN] #### Legal operations expertise, modern execution. ROSHWIN brings together deep legal domain knowledge, operational discipline, and responsible use of GenAI and modern technology -- all in service of one goal: making our clients' legal operations run better, faster, and with confidence. We embed, we take ownership, and we stay until it works. ### What we deliver 17 services across our four practice areas -- continuously in motion. [Image: Litigation Document Review] Litigation and Investigation #### Litigation Document Review Pod-led review, optimised with AI Specialist pods design, calibrate and run defensible document review on your platform, combining linear, active learning and GenAI first-pass workflows. Learn more ### The business challenges we solve We understand these pressures because we have lived them. Each challenge maps to a structured solution rooted in real legal operations experience. [Image: Operational Excellence] Business Challenge Operational Inefficiency #### Operational Excellence Legal teams are under constant pressure to deliver more with fewer resources while maintaining quality, compliance, and responsiveness. We streamline legal operations through proven delivery models, optimized workflows, and technology-enabled execution — allowing your teams to focus on higher-value legal work while we manage operational complexity. ### Four pillars of what we do Our integrated approach addresses the full spectrum of legal operations -- always led by domain expertise, always grounded in your business reality. 01 3 services Pillar 01 #### Litigation and Investigation Specialist review and fact-finding for disputes, investigations and regulatory matters. - Litigation Document Review - Chronology Creation - Bibliographic Coding Explore practice area 02 4 services Pillar 02 #### Contracts Management From choosing the right platform to extracting data and negotiating on your behalf. - CLM Consultation - CLM Implementation - Contract Abstraction - Contract Review Explore practice area 03 6 services Pillar 03 #### Compliance Management Repeatable, deadline-driven compliance work, executed with discipline. - Due Diligence - Contract Remediation - Regulatory Survey - KYC - Data Subject Access Requests - Incident Response Explore practice area 04 4 services Pillar 04 #### Legal Digital Transformation Technology consulting, signal intelligence and GenAI automation for modern legal teams. - Legal Tech Consulting - Legal Signal Intelligence - GenAI Workflow Automation - Legal Managed Services Explore practice area Explore all services How we work ### Go slow to go fast. Every engagement follows the same five steps. We prove the approach on early work product with your team, then scale with confidence and keep improving. - 01 Align Signed-off scope - 02 Design Workflow and plan - 03 Pilot Early work product - 04 Scale Full delivery - 05 Improve Insight and learning [Image: Align] 01 Signed-off scope Step 01 #### Align Pods and your team agree scope, protocol and success measures before work starts. - Attorney lead assigned from day one - Purpose, rules and risk appetite agreed - Success measures and deadlines set One attorney lead Accountable from scoping to close. Proof before scale Early work product, calibrated with you. Human checkpoints GenAI only where value outweighs risk. See how this applies to each service ### Why clients choose ROSHWIN Because we care. Because we understand the work. Because we stay until it is done right. ##### Built by attorneys, for attorneys Our founders have worked as in-house counsel and in law firms. We understand legal workflows from the inside, and our priority is the work, not an investor's agenda. ##### Attorneys in the technologist's chair Your solution is designed by attorney-technologists, equally deep in legal practice and in technology, balancing GenAI speed with accuracy, defensibility and risk. Technology only where it creates genuine value. ##### One attorney, start to finish The attorney you first speak with scopes your work, shares pricing and leads delivery, feedback and lessons learned. One point of contact, accountable for the outcome. ##### Specialist pods Teams that pair a matter type with an industry, so the people shaping your work have seen it before, and embed with your team as one unit. ##### Platform agnostic We work hands-on across the leading platforms and recommend the one that fits you. We take no referral fees, so our advice stays objective. ##### No legacy baggage We are new, so no old process or technology dictates how we work. We build with the best of today, backed by decades of experience. Responsive We pick up when you call and we are there when you need us. Flexible We adapt to your workflow, your platforms, your pricing model and your pace. Reliable One attorney owns your work from scoping to lessons learned, and delivers on what we commit. ### Latest insights Perspectives on legal operations, partnership, and practical transformation. View all insights Contracts Management #### Playbooks That Learn: Contract Review With Falling Escalation Rates How a contract review playbook turns every escalation into a decision made once, and why the best programs track how often they have to ask. Read more Litigation & Investigation #### Matter Pods: Why Specialized Review Teams Beat Generic Review Pools Why the team reviewing your documents should understand your case before it opens the first one, and how to build that into the workflow. Read more CLM #### Contract Intelligence: From Data to Strategic Insight Transforming the contract repository from a static archive into a dynamic source of commercial intelligence and risk visibility. Read more Technology #### Evaluating Legal Technology: Beyond the Feature List A framework for assessing legal technology investments that accounts for integration complexity, change management, and long-term total cost of ownership. Read more Legal Operations #### The Middle Office: Unlocking Hidden Capacity in Legal Teams How strategic middle-office support allows legal professionals to focus on high-value work while maintaining operational excellence in the background. Read more CLM #### Beyond Implementation: Making CLM Deliver Ongoing Value Why contract lifecycle management success depends on operational commitment, not just technology selection. Lessons from organizations that moved beyond the initial deployment. Read more ### Ready to work with a team that truly gets it? Whether you need managed services, contract transformation, or operational support -- we are here to understand your pain, take ownership, and deliver practical, lasting outcomes. Start a Conversation See Our Services Trusted by legal teams in North America, the UK and Europe, and the Middle East. --- # Services | ROSHWIN - Litigation, Contracts, Compliance & Legal Digital Transformation URL: https://roshwin.ai/services Summary: Four practice areas, one accountable team: litigation and investigation support, contracts management and CLM, compliance management, and legal digital transformation for legal departments and law firms. Our Services ## Four practice areas. One accountable team. Legal operations expertise, modern technology and measurable outcomes, delivered by attorney-technologists with equal depth in the law and the tools. From a single matter to a full programme. 4 Practice areas 17 Specialist services 24-48h To first work product 1 Attorney lead per engagement 01 ### Litigation and Investigation Specialist review and fact-finding for disputes, investigations and regulatory matters. - Litigation Document Review Pod-led review, optimised with AI - Chronology Creation AI-assisted fact timelines - Bibliographic Coding Metadata captured at scale 02 ### Contracts Management From choosing the right platform to extracting data and negotiating on your behalf. - CLM Consultation Unbiased platform advice - CLM Implementation Configured by attorney-technologists - Contract Abstraction Structured data from any contract - Contract Review Playbook-based negotiation 03 ### Compliance Management Repeatable, deadline-driven compliance work, executed with discipline. - Due Diligence Any review, against your rules - Contract Remediation Repapering at scale - Regulatory Survey Research and monitoring - KYC Screening and documentation - Data Subject Access Requests Locate, review, redact - Incident Response Notification lists after a breach 04 ### Legal Digital Transformation Technology consulting, signal intelligence and GenAI automation for modern legal teams. - Legal Tech Consulting Choose and roll out the right tools - Legal Signal Intelligence Monitored, structured, actionable - GenAI Workflow Automation GenAI built into how you work - Legal Managed Services Technology, processes and people How we work ### Go slow to go fast The same five-step rhythm sits behind every service, so you see work product early and we scale only once you are confident. - 01 ##### Align Pods and your team agree scope, protocol and success measures before work starts. Signed-off scope - 02 ##### Design The right workflow, technology and team for the matter, with AI where it helps. Workflow and plan - 03 ##### Pilot A small first delivery early, typically within 24 hours on review work. Early work product - 04 ##### Scale After your green light, we ramp the team to meet the deadline. Full delivery - 05 ##### Improve Data trends shared proactively and lessons applied to the next phase. Insight and learning Why clients choose ROSHWIN ### Built differently, on purpose ##### Built by attorneys, for attorneys Our founders have worked as in-house counsel and in law firms. We understand legal workflows from the inside, and our priority is the work, not an investor's agenda. ##### Attorneys in the technologist's chair Your solution is designed by attorney-technologists, equally deep in legal practice and in technology, balancing GenAI speed with accuracy, defensibility and risk. Technology only where it creates genuine value. ##### One attorney, start to finish The attorney you first speak with scopes your work, shares pricing and leads delivery, feedback and lessons learned. One point of contact, accountable for the outcome. ##### Specialist pods Teams that pair a matter type with an industry, so the people shaping your work have seen it before, and embed with your team as one unit. ##### Platform agnostic We work hands-on across the leading platforms and recommend the one that fits you. We take no referral fees, so our advice stays objective. ##### No legacy baggage We are new, so no old process or technology dictates how we work. We build with the best of today, backed by decades of experience. Responsive We pick up when you call and we are there when you need us. Flexible We adapt to your workflow, your platforms, your pricing model and your pace. Reliable One attorney owns your work from scoping to lessons learned, and delivers on what we commit. Quality framework ### Quality is designed in, not inspected at the end Every reviewer is baselined on demonstrated accuracy and tracked continuously, so sampling and support follow performance. ##### A quality point of view for every matter Aligned to your quality methodology. Sampling is set by size, scale and complexity, and adjusts as subject matter, document type or reviewer performance changes. ##### Proactive conversations on data trends We raise patterns we see in the data and confirm whether they match what you expected or need a change of direction. ##### Early, rolling client feedback A small first delivery within 24 to 48 hours of start. Feedback shapes the work, and we ramp up only after your green light. Commercials ### Flexible pricing, agreed up front Four models, matched to the shape of the work rather than forced onto it. ##### Fixed fee Best for Defined projects, such as a CLM assessment or a contract clean-up. How it is billed One price for an agreed scope and outcome. ##### Unit rate with cap Best for Variable volume, such as document review or abstraction. How it is billed Per document or per contract, with a ceiling on total spend. ##### Managed team Best for Ongoing work, such as platform operations or monitoring. How it is billed A monthly fee for a dedicated team, scaled up or down with notice. ##### Hybrid Best for Programmes that mix a project with steady run work. How it is billed A fixed fee to build, then a unit rate or team fee to run. ### Find the right place to start Share the challenge in front of you. We will recommend the approach, agree the price up front and deliver early results within days. Start a Conversation --- # Litigation and Investigation Services | ROSHWIN URL: https://roshwin.ai/services/litigation-and-investigation Summary: Specialist review and fact-finding for disputes, investigations and regulatory matters. [Image: Litigation and Investigation] Practice area 01 ## Litigation and Investigation Specialist review and fact-finding for disputes, investigations and regulatory matters. When a matter turns on what is inside the documents, speed without defensibility is a liability. Our specialist pods pair attorney judgement with AI-optimised workflows, so counsel gets accurate review, a clear view of the facts and clean metadata, on the deadline the court or regulator sets. 3 Specialist services 24-48h To first work product 1 Attorney lead throughout Services ### Choose where to start [Image: Litigation Document Review] Pod-led review, optimised with AI #### Litigation Document Review Specialist pods design, calibrate and run defensible document review on your platform, combining linear, active learning and GenAI first-pass workflows. Platform agnostic Pod led AI optimised Explore service [Image: Chronology Creation] AI-assisted fact timelines #### Chronology Creation Source-linked, human-validated case chronologies built from thousands of documents, by whole case or by issue, claim or party. AI-assisted Attorney validated Proprietary solution Explore service [Image: Bibliographic Coding] Metadata captured at scale #### Bibliographic Coding Standard objective fields such as date, author, recipients, document type and title, plus any additional fields your matter needs, coded consistently with an AI first pass and human validation. AI first pass Human in the loop Proprietary solution Explore service Why ROSHWIN ### What makes our litigation and investigation work different ##### Built by attorneys, for attorneys Our founders have worked as in-house counsel and in law firms. We understand legal workflows from the inside, and our priority is the work, not an investor's agenda. ##### Attorneys in the technologist's chair Your solution is designed by attorney-technologists, equally deep in legal practice and in technology, balancing GenAI speed with accuracy, defensibility and risk. Technology only where it creates genuine value. ##### One attorney, start to finish The attorney you first speak with scopes your work, shares pricing and leads delivery, feedback and lessons learned. One point of contact, accountable for the outcome. ##### Specialist pods Teams that pair a matter type with an industry, so the people shaping your work have seen it before, and embed with your team as one unit. ##### Platform agnostic We work hands-on across the leading platforms and recommend the one that fits you. We take no referral fees, so our advice stays objective. ##### No legacy baggage We are new, so no old process or technology dictates how we work. We build with the best of today, backed by decades of experience. From our Insights ### Insights on litigation and investigation All insights [Image: The Roshwin Matter Pod model] Litigation & Investigation 8 min read #### Matter Pods: Why Specialized Review Teams Beat Generic Review Pools Why the team reviewing your documents should understand your case before it opens the first one, and how to build that into the workflow. October 2026 Read [Image: The Human-AI Review Maturity Framework] Legal Operations 6 min read #### The Future of AI-Assisted Document Review in Legal Proceedings How human-in-the-loop AI is reshaping document review while maintaining the precision and defensibility that courts demand. The role of trained professionals alongside intelligent systems. April 2026 Read ### Other practice areas 02 #### Contracts Management From choosing the right platform to extracting data and negotiating on your behalf. 03 #### Compliance Management Repeatable, deadline-driven compliance work, executed with discipline. 04 #### Legal Digital Transformation Technology consulting, signal intelligence and GenAI automation for modern legal teams. ### Let's talk litigation and investigation Tell us what you are facing. An attorney lead will shape the right approach, agree the price up front and stay accountable for the outcome. Start a Conversation --- # Litigation Document Review | Litigation and Investigation | ROSHWIN URL: https://roshwin.ai/services/litigation-and-investigation/litigation-document-review Summary: Specialist pods design, calibrate and run defensible document review on your platform, combining linear, active learning and GenAI first-pass workflows. 01 / Litigation and Investigation ## Litigation Document Review Pod-led review, optimised with AI Specialist pods design, calibrate and run defensible document review on your platform, combining linear, active learning and GenAI first-pass workflows. Platform agnostic Pod led AI optimised Discuss your matter How we deliver [Image: Litigation Document Review] The challenge Volumes keep rising, deadlines do not move, and a rushed protocol creates rework. <24h Within 24 hours, first calibrated work product for your feedback 4 Workflow models our teams are expert in, from linear and TAR to sample-based QC and GenAI Live Data trend insights shared with counsel throughout the review 1 Attorney lead from scoping to close Our perspective ### How modern teams approach litigation document review Modern review is no longer a choice between armies of reviewers and black-box technology. The strongest outcomes come from choosing the right workflow for the matter, then proving it works on a small sample before scaling. That is what we mean by go slow to go fast. Every engagement is led by a specialist pod that has seen your matter type and industry before. The pod aligns with your counsel on issues and protocol, recommends the workflow, calibrates it with your feedback within the first 24 hours, then acts as quality control while the team scales to the deadline. Experienced with US discovery and UK disclosure rules. #### Specialist pods Teams that pair a matter type with an industry. Pods scope the work, shape the workflow and then act as QC. #### The right workflow, not one workflow Linear, active learning, GenAI first pass or a hybrid, selected for the matter and deployed on your platform or your vendor's. #### Validated end to end We sample across the whole population, not only the documents left unreviewed, and share data insight with counsel as the review runs. How we deliver ### Go slow to go fast We prove the approach on a small sample with you first, then scale. Here is how the work flows, and where AI carries the load versus where our attorneys apply judgement. 40% AI-assisted Technology where it adds value An indicative view of how work is shared between AI and our attorneys at each stage. Judgement, protocol and sign-off always stay with people. AI Attorneys and specialists - 01 ##### Brief the pod 10% 90% Pod and counsel align on scope, issues and protocol before any document is coded. - 02 ##### Design the workflow 30% 70% We recommend the workflow that fits the matter and deploy it on your platform. - 03 ##### Calibrate early 55% 45% Protocol or AI instructions are tested on samples, with your feedback within 24 hours. - 04 ##### Scale on green light 65% 35% The team ramps to the deadline, with pod members acting as QC. - 05 ##### Validate and inform 40% 60% Quality is validated by sampling the full population, and insight reaches counsel throughout. What you receive A defensible, validated review with consistent coding, privilege and issue calls, and running data insight that helps counsel shape case strategy while the review is still underway. Where it fits best - Second requests and antitrust reviews - Commercial litigation and arbitration - Internal and regulatory investigations - Employment and product liability matters Specialist pods ### All matter types, across many industries Pods pair the matter with the industry, so the people shaping your review have seen it before. Matter types, for example Antitrust Second requests Employment Product liability Commercial disputes Investigations Industries, for example Financial services Pharma and life sciences Software and consulting Energy Manufacturing Workflows we design and deploy Linear review Active learning GenAI first pass Hybrid Commercials ### Pricing that fits the shape of the work The attorney who scopes your work shares pricing up front. These are the models that typically suit litigation document review. ##### Fixed fee Best for Defined projects, such as a CLM assessment or a contract clean-up. How it is billed One price for an agreed scope and outcome. Typical fit ##### Unit rate with cap Best for Variable volume, such as document review or abstraction. How it is billed Per document or per contract, with a ceiling on total spend. ##### Managed team Best for Ongoing work, such as platform operations or monitoring. How it is billed A monthly fee for a dedicated team, scaled up or down with notice. Typical fit ##### Hybrid Best for Programmes that mix a project with steady run work. How it is billed A fixed fee to build, then a unit rate or team fee to run. Questions ### What clients ask us Do we have to move our data to a new platform? No. We are platform agnostic and work inside your review platform or your e-discovery vendor's environment, so data stays where it already is. How do you decide between linear review, active learning and GenAI? How is quality measured? From our Insights ### Our thinking on litigation document review All insights [Image: The Roshwin Matter Pod model] Litigation & Investigation 8 min read #### Matter Pods: Why Specialized Review Teams Beat Generic Review Pools Why the team reviewing your documents should understand your case before it opens the first one, and how to build that into the workflow. October 2026 Read [Image: The Human-AI Review Maturity Framework] Legal Operations 6 min read #### The Future of AI-Assisted Document Review in Legal Proceedings How human-in-the-loop AI is reshaping document review while maintaining the precision and defensibility that courts demand. The role of trained professionals alongside intelligent systems. April 2026 Read Also in Litigation and Investigation ### Related services View practice area [Image: Chronology Creation] AI-assisted fact timelines #### Chronology Creation Source-linked, human-validated case chronologies built from thousands of documents, by whole case or by issue, claim or party. [Image: Bibliographic Coding] Metadata captured at scale #### Bibliographic Coding Standard objective fields such as date, author, recipients, document type and title, plus any additional fields your matter needs, coded consistently with an AI first pass and human validation. ### Meet your next review deadline with confidence Bring us the matter and the deadline. Your attorney lead recommends the workflow, calibrates it with your team within 24 hours and scales the review to finish on time. Start a Conversation --- # Chronology Creation | Litigation and Investigation | ROSHWIN URL: https://roshwin.ai/services/litigation-and-investigation/chronology-creation Summary: Source-linked, human-validated case chronologies built from thousands of documents, by whole case or by issue, claim or party. 01 / Litigation and Investigation ## Chronology Creation AI-assisted fact timelines Source-linked, human-validated case chronologies built from thousands of documents, by whole case or by issue, claim or party. AI-assisted Attorney validated Proprietary solution Discuss your matter How we deliver [Image: Chronology Creation] The challenge Case facts are scattered across thousands of documents, and nobody has time to line them up. Every Entry checked against its source document 2 ways One master timeline or separate timelines by issue Custom Fields chosen by your team Linked Each event traceable back to the record Our perspective ### How modern teams approach chronology creation A good chronology is the backbone of case strategy, witness preparation and settlement analysis. Traditionally it is built by hand, late in the matter, by the most expensive people on the team. Our proprietary solution uses AI to extract events, people and dates from the record at speed, then attorneys validate every entry against its source document. You choose the scope and the fields; we deliver a filterable chronology you can trust in front of a partner, a client or a witness. #### Whole case or by issue One master timeline, or separate timelines by issue, claim or party. #### Customisable data points Include or exclude the fields that matter to your team, such as people, dates and events. #### Validated by attorneys Every entry is checked against its source document before it reaches you. How we deliver ### Go slow to go fast We prove the approach on a small sample with you first, then scale. Here is how the work flows, and where AI carries the load versus where our attorneys apply judgement. 38% AI-assisted Technology where it adds value An indicative view of how work is shared between AI and our attorneys at each stage. Judgement, protocol and sign-off always stay with people. AI Attorneys and specialists - 01 ##### Agree scope and fields 10% 90% Issues, parties, date range and the data points each entry must carry. - 02 ##### AI extracts events 85% 15% Events, actors and dates are drawn from the record at scale. - 03 ##### Attorneys validate 20% 80% Each entry is verified, contextualised and linked to its source. - 04 ##### Deliver and refine 35% 65% A filterable chronology, refined with your team as the case evolves. What you receive A source-linked, filterable chronology ready for case strategy, witness work and internal briefings. Where it fits best - Case strategy and early case assessment - Witness and deposition preparation - Internal investigation reports - Board and client briefings Commercials ### Pricing that fits the shape of the work The attorney who scopes your work shares pricing up front. These are the models that typically suit chronology creation. Typical fit ##### Fixed fee Best for Defined projects, such as a CLM assessment or a contract clean-up. How it is billed One price for an agreed scope and outcome. Typical fit ##### Unit rate with cap Best for Variable volume, such as document review or abstraction. How it is billed Per document or per contract, with a ceiling on total spend. ##### Managed team Best for Ongoing work, such as platform operations or monitoring. How it is billed A monthly fee for a dedicated team, scaled up or down with notice. ##### Hybrid Best for Programmes that mix a project with steady run work. How it is billed A fixed fee to build, then a unit rate or team fee to run. Questions ### What clients ask us Can the chronology be updated as new documents arrive? Yes. Chronologies are refined as productions come in, so the timeline grows with the matter rather than being rebuilt. Will we be able to trace each event to a document? What format do we receive? From our Insights ### Our thinking on chronology creation All insights [Image: The Roshwin Matter Pod model] Litigation & Investigation 8 min read #### Matter Pods: Why Specialized Review Teams Beat Generic Review Pools Why the team reviewing your documents should understand your case before it opens the first one, and how to build that into the workflow. October 2026 Read Also in Litigation and Investigation ### Related services View practice area [Image: Litigation Document Review] Pod-led review, optimised with AI #### Litigation Document Review Specialist pods design, calibrate and run defensible document review on your platform, combining linear, active learning and GenAI first-pass workflows. [Image: Bibliographic Coding] Metadata captured at scale #### Bibliographic Coding Standard objective fields such as date, author, recipients, document type and title, plus any additional fields your matter needs, coded consistently with an AI first pass and human validation. ### Turn the record into a story you can argue Share the documents and the issues. We return a source-linked, human-validated chronology your case team can build strategy on from day one. Start a Conversation --- # Bibliographic Coding | Litigation and Investigation | ROSHWIN URL: https://roshwin.ai/services/litigation-and-investigation/bibliographic-coding Summary: Standard objective fields such as date, author, recipients, document type and title, plus any additional fields your matter needs, coded consistently with an AI first pass and human validation. 01 / Litigation and Investigation ## Bibliographic Coding Metadata captured at scale Standard objective fields such as date, author, recipients, document type and title, plus any additional fields your matter needs, coded consistently with an AI first pass and human validation. AI first pass Human in the loop Proprietary solution Discuss your matter How we deliver [Image: Bibliographic Coding] The challenge A review platform is only as useful as the metadata behind it. Flexible Field set: standard fields plus any your matter needs AI First pass for speed and uniformity Human Validation and sampling to hold quality Day one Searching, sorting and logging ready Our perspective ### How modern teams approach bibliographic coding Scanned records, hard-copy productions and legacy files often arrive with little or no usable metadata. Without it, searching, sorting, privilege logging and exhibit preparation slow to a crawl. Our proprietary approach lets AI draft the objective coding so large volumes move quickly and uniformly, while reviewers check and sample the output against an agreed protocol. The field set is flexible: we start from the standard bibliographic fields and add whatever your matter requires at setup. The result is clean metadata loaded straight into your platform. #### Fields built around your matter Standard fields such as date, author, recipients, document type and title, extended with any custom fields you need. #### AI first pass AI drafts the coding, so large volumes move quickly and uniformly. #### Validated by people Reviewers check and sample the output to hold quality. How we deliver ### Go slow to go fast We prove the approach on a small sample with you first, then scale. Here is how the work flows, and where AI carries the load versus where our attorneys apply judgement. 39% AI-assisted Technology where it adds value An indicative view of how work is shared between AI and our attorneys at each stage. Judgement, protocol and sign-off always stay with people. AI Attorneys and specialists - 01 ##### Agree coding protocol 5% 95% Standard and custom fields, formats, conventions and edge cases agreed with your team. - 02 ##### AI first pass 90% 10% Every agreed field drafted across the full set. - 03 ##### Human validation 20% 80% Reviewers check, correct and sample against the protocol. - 04 ##### Load to your platform 40% 60% Clean metadata delivered in your load file format. What you receive Clean, consistent metadata loaded into your review platform, so searching, sorting and logging work from day one. Where it fits best - Scanned and hard-copy productions - Legacy archives with poor metadata - Exhibit and trial bundle preparation - Privilege log support Commercials ### Pricing that fits the shape of the work The attorney who scopes your work shares pricing up front. These are the models that typically suit bibliographic coding. ##### Fixed fee Best for Defined projects, such as a CLM assessment or a contract clean-up. How it is billed One price for an agreed scope and outcome. Typical fit ##### Unit rate with cap Best for Variable volume, such as document review or abstraction. How it is billed Per document or per contract, with a ceiling on total spend. ##### Managed team Best for Ongoing work, such as platform operations or monitoring. How it is billed A monthly fee for a dedicated team, scaled up or down with notice. ##### Hybrid Best for Programmes that mix a project with steady run work. How it is billed A fixed fee to build, then a unit rate or team fee to run. Questions ### What clients ask us Which fields can you code? Any field your matter needs. We start from the standard bibliographic fields, such as date, author, recipients, copyees, document type and title, and add custom fields at setup. The field set is not fixed. Can you deliver in our platform's load format? From our Insights ### Our thinking on bibliographic coding All insights [Image: The Roshwin Matter Pod model] Litigation & Investigation 8 min read #### Matter Pods: Why Specialized Review Teams Beat Generic Review Pools Why the team reviewing your documents should understand your case before it opens the first one, and how to build that into the workflow. October 2026 Read [Image: The Human-AI Review Maturity Framework] Legal Operations 6 min read #### The Future of AI-Assisted Document Review in Legal Proceedings How human-in-the-loop AI is reshaping document review while maintaining the precision and defensibility that courts demand. The role of trained professionals alongside intelligent systems. April 2026 Read Also in Litigation and Investigation ### Related services View practice area [Image: Litigation Document Review] Pod-led review, optimised with AI #### Litigation Document Review Specialist pods design, calibrate and run defensible document review on your platform, combining linear, active learning and GenAI first-pass workflows. [Image: Chronology Creation] AI-assisted fact timelines #### Chronology Creation Source-linked, human-validated case chronologies built from thousands of documents, by whole case or by issue, claim or party. ### Make every document findable Tell us the fields you need, standard or bespoke. We set up the coding, validate it and deliver clean, load-ready data on your platform. Start a Conversation --- # Contracts Management Services | ROSHWIN URL: https://roshwin.ai/services/contracts-management Summary: From choosing the right platform to extracting data and negotiating on your behalf. [Image: Contracts Management] Practice area 02 ## Contracts Management From choosing the right platform to extracting data and negotiating on your behalf. Contracts hold your obligations, revenue and risk, yet most of that value sits locked in documents and inboxes. We help you choose and configure the right CLM, turn contracts into structured data, and run playbook-based review so routine agreements move faster and your attorneys focus on what is genuinely new. 4 Specialist services 24-48h To first work product 1 Attorney lead throughout Services ### Choose where to start [Image: CLM Consultation] Unbiased platform advice #### CLM Consultation Objective guidance, grounded in hands-on experience with the leading CLM platforms, to define your requirements, compare options and choose the one that fits how your business contracts. CLM agnostic Hands-on platform experience Zero referral fees Explore service [Image: CLM Implementation] Configured by attorney-technologists #### CLM Implementation Configuration, migration and adoption support from attorney-technologists, shaping your CLM around how your attorneys actually contract. Platform agnostic Attorney-technologists Hands-on configuration Explore service [Image: Contract Abstraction] Structured data from any contract #### Contract Abstraction AI-based, human-validated extraction of key terms and clause data from contracts in any language, delivered in your format or loaded into your CLM. AI-based Human in the loop Proprietary solution Explore service [Image: Contract Review] Playbook-based negotiation #### Contract Review Routine sales and procurement contracts reviewed and negotiated on your behalf, against a playbook we build for you from your own negotiation history. Playbook built for you Sales and procurement AI where it helps Explore service Why ROSHWIN ### What makes our contracts management work different ##### Built by attorneys, for attorneys Our founders have worked as in-house counsel and in law firms. We understand legal workflows from the inside, and our priority is the work, not an investor's agenda. ##### Attorneys in the technologist's chair Your solution is designed by attorney-technologists, equally deep in legal practice and in technology, balancing GenAI speed with accuracy, defensibility and risk. Technology only where it creates genuine value. ##### One attorney, start to finish The attorney you first speak with scopes your work, shares pricing and leads delivery, feedback and lessons learned. One point of contact, accountable for the outcome. ##### Specialist pods Teams that pair a matter type with an industry, so the people shaping your work have seen it before, and embed with your team as one unit. ##### Platform agnostic We work hands-on across the leading platforms and recommend the one that fits you. We take no referral fees, so our advice stays objective. ##### No legacy baggage We are new, so no old process or technology dictates how we work. We build with the best of today, backed by decades of experience. From our Insights ### Insights on contracts management All insights [Image: The Roshwin Playbook Learning Loop] Contracts Management 8 min read #### Playbooks That Learn: Contract Review With Falling Escalation Rates How a contract review playbook turns every escalation into a decision made once, and why the best programs track how often they have to ask. November 2026 Read [Image: The contract intelligence maturity ladder] CLM 6 min read #### Contract Intelligence: From Data to Strategic Insight Transforming the contract repository from a static archive into a dynamic source of commercial intelligence and risk visibility. August 2026 Read [Image: Legal technology evaluation radar] Technology 9 min read #### Evaluating Legal Technology: Beyond the Feature List A framework for assessing legal technology investments that accounts for integration complexity, change management, and long-term total cost of ownership. August 2026 Read ### Other practice areas 01 #### Litigation and Investigation Specialist review and fact-finding for disputes, investigations and regulatory matters. 03 #### Compliance Management Repeatable, deadline-driven compliance work, executed with discipline. 04 #### Legal Digital Transformation Technology consulting, signal intelligence and GenAI automation for modern legal teams. ### Let's talk contracts management Tell us what you are facing. An attorney lead will shape the right approach, agree the price up front and stay accountable for the outcome. Start a Conversation --- # CLM Consultation | Contracts Management | ROSHWIN URL: https://roshwin.ai/services/contracts-management/clm-consultation Summary: Objective guidance, grounded in hands-on experience with the leading CLM platforms, to define your requirements, compare options and choose the one that fits how your business contracts. 02 / Contracts Management ## CLM Consultation Unbiased platform advice Objective guidance, grounded in hands-on experience with the leading CLM platforms, to define your requirements, compare options and choose the one that fits how your business contracts. CLM agnostic Hands-on platform experience Zero referral fees Discuss your matter How we deliver [Image: CLM Consultation] The challenge Choosing a CLM tool means wading through a crowded market where every vendor promises everything. 6+ Leading CLM platforms we know hands-on 4 Phases from discovery to a plan Yours Requirements you can take to any vendor 0 Referral fees, so advice follows your needs Our perspective ### How modern teams approach CLM consultation Most CLM disappointments begin before the contract with the vendor is signed: requirements written around demos, processes that were never mapped, and selection driven by features rather than fit. We start with your situation: contracting complexity, the problems you need to solve, priorities, organisation size and budget. Because we have explored and worked with the leading platforms hands-on, we know where each one shines and where it struggles. You get an objective shortlist with clear pros and cons, plus target-state processes and requirements you can take to any vendor. #### Start with your situation Contracting complexity, problems to solve, priorities, organisation size and budget. #### An unbiased shortlist Clear pros and cons for each option, drawn from real platform experience. #### Requirements and process Target-state processes and requirements you can take to any vendor. How we deliver ### Go slow to go fast We prove the approach on a small sample with you first, then scale. Here is how the work flows, and where AI carries the load versus where our attorneys apply judgement. 15% AI-assisted Technology where it adds value An indicative view of how work is shared between AI and our attorneys at each stage. Judgement, protocol and sign-off always stay with people. AI Attorneys and specialists - 01 ##### Discover needs 15% 85% Stakeholder interviews, contract volumes, pain points and priorities. - 02 ##### Define requirements 20% 80% Target-state processes and prioritised, testable requirements. - 03 ##### Compare options 15% 85% Structured scoring of shortlisted platforms against your requirements. - 04 ##### Recommend and plan 10% 90% A recommendation, business case inputs and an implementation roadmap. What you receive A documented recommendation with an unbiased shortlist, target-state process, prioritised requirements and a practical roadmap to implementation. Where it fits best - First-time CLM buyers - Teams replacing an under-used CLM - Post-merger contract consolidation - Procurement-led tool selections Platform agnostic ### Hands-on experience across leading CLM platforms Including LEAH Ironclad Icertis Sirion Docusign CLM Agiloft Commercials ### Pricing that fits the shape of the work The attorney who scopes your work shares pricing up front. These are the models that typically suit clm consultation. Typical fit ##### Fixed fee Best for Defined projects, such as a CLM assessment or a contract clean-up. How it is billed One price for an agreed scope and outcome. ##### Unit rate with cap Best for Variable volume, such as document review or abstraction. How it is billed Per document or per contract, with a ceiling on total spend. ##### Managed team Best for Ongoing work, such as platform operations or monitoring. How it is billed A monthly fee for a dedicated team, scaled up or down with notice. ##### Hybrid Best for Programmes that mix a project with steady run work. How it is billed A fixed fee to build, then a unit rate or team fee to run. Questions ### What clients ask us Can you also implement the platform we choose? Yes. Our CLM Implementation service picks up directly from the consultation, so requirements carry through without loss. How do you keep recommendations objective? From our Insights ### Our thinking on CLM consultation All insights [Image: The Roshwin Playbook Learning Loop] Contracts Management 8 min read #### Playbooks That Learn: Contract Review With Falling Escalation Rates How a contract review playbook turns every escalation into a decision made once, and why the best programs track how often they have to ask. November 2026 Read [Image: Legal technology evaluation radar] Technology 9 min read #### Evaluating Legal Technology: Beyond the Feature List A framework for assessing legal technology investments that accounts for integration complexity, change management, and long-term total cost of ownership. August 2026 Read [Image: The pillars of ongoing CLM value] CLM 8 min read #### Beyond Implementation: Making CLM Deliver Ongoing Value Why contract lifecycle management success depends on operational commitment, not just technology selection. Lessons from organizations that moved beyond the initial deployment. July 2026 Read Also in Contracts Management ### Related services View practice area [Image: CLM Implementation] Configured by attorney-technologists #### CLM Implementation Configuration, migration and adoption support from attorney-technologists, shaping your CLM around how your attorneys actually contract. [Image: Contract Abstraction] Structured data from any contract #### Contract Abstraction AI-based, human-validated extraction of key terms and clause data from contracts in any language, delivered in your format or loaded into your CLM. [Image: Contract Review] Playbook-based negotiation #### Contract Review Routine sales and procurement contracts reviewed and negotiated on your behalf, against a playbook we build for you from your own negotiation history. ### Choose your CLM with confidence We map your requirements against the platforms that fit, lay out the trade-offs side by side and help you reach a decision that lasts. Start a Conversation --- # CLM Implementation | Contracts Management | ROSHWIN URL: https://roshwin.ai/services/contracts-management/clm-implementation Summary: Configuration, migration and adoption support from attorney-technologists, shaping your CLM around how your attorneys actually contract. 02 / Contracts Management ## CLM Implementation Configured by attorney-technologists Configuration, migration and adoption support from attorney-technologists, shaping your CLM around how your attorneys actually contract. Platform agnostic Attorney-technologists Hands-on configuration Discuss your matter How we deliver [Image: CLM Implementation] The challenge A CLM only pays off when it is configured around how your attorneys actually contract. Both hats Equal depth in contracting and platform configuration 6+ Leading CLM platforms supported End to end Design, configure, migrate, hand over Day one Adoption support from go-live Our perspective ### How modern teams approach CLM implementation Implementations stall when configuration is left to people who do not draft or negotiate contracts. Templates do not match practice, approval paths frustrate the business, and legacy contracts never make it in. Our team wears both hats with equal depth: the same people who draft and negotiate contracts also configure the platforms, so nothing is lost in translation. We design and configure templates, workflows, approvals and clause libraries, migrate your legacy contracts, and support adoption so your teams use the platform from day one. #### Attorney-technologists Equally at home drafting a clause and configuring a workflow. #### Configuration and migration Templates, workflows, approvals, clause libraries and data migration. #### Adoption support Training and hand-over, so teams use the platform from day one. How we deliver ### Go slow to go fast We prove the approach on a small sample with you first, then scale. Here is how the work flows, and where AI carries the load versus where our attorneys apply judgement. 29% AI-assisted Technology where it adds value An indicative view of how work is shared between AI and our attorneys at each stage. Judgement, protocol and sign-off always stay with people. AI Attorneys and specialists - 01 ##### Design 15% 85% Contract types, templates, approval matrices and integrations designed with your attorneys. - 02 ##### Configure 30% 70% Workflows, clause libraries and permissions built on the platform. - 03 ##### Migrate and test 60% 40% Legacy contracts abstracted, migrated and tested end to end. - 04 ##### Go live and hand over 10% 90% Training, playbooks and hypercare so adoption sticks. What you receive A configured, tested CLM with your templates, workflows and legacy contracts in place, and teams trained to use it. Where it fits best - New CLM rollouts - Re-implementations of stalled platforms - Legacy contract migrations - Adding new contract types or regions Platform agnostic ### Implementation expertise across leading CLM platforms Including LEAH Ironclad Icertis Sirion Docusign CLM Agiloft Commercials ### Pricing that fits the shape of the work The attorney who scopes your work shares pricing up front. These are the models that typically suit clm implementation. Typical fit ##### Fixed fee Best for Defined projects, such as a CLM assessment or a contract clean-up. How it is billed One price for an agreed scope and outcome. ##### Unit rate with cap Best for Variable volume, such as document review or abstraction. How it is billed Per document or per contract, with a ceiling on total spend. ##### Managed team Best for Ongoing work, such as platform operations or monitoring. How it is billed A monthly fee for a dedicated team, scaled up or down with notice. Typical fit ##### Hybrid Best for Programmes that mix a project with steady run work. How it is billed A fixed fee to build, then a unit rate or team fee to run. Questions ### What clients ask us Do you work alongside the vendor's own implementation team? Yes. We often act as the legal-side design authority working with the vendor or a systems integrator, or we lead the configuration ourselves. Can you migrate our existing contracts? From our Insights ### Our thinking on CLM implementation All insights [Image: The pillars of ongoing CLM value] CLM 8 min read #### Beyond Implementation: Making CLM Deliver Ongoing Value Why contract lifecycle management success depends on operational commitment, not just technology selection. Lessons from organizations that moved beyond the initial deployment. July 2026 Read Also in Contracts Management ### Related services View practice area [Image: CLM Consultation] Unbiased platform advice #### CLM Consultation Objective guidance, grounded in hands-on experience with the leading CLM platforms, to define your requirements, compare options and choose the one that fits how your business contracts. [Image: Contract Abstraction] Structured data from any contract #### Contract Abstraction AI-based, human-validated extraction of key terms and clause data from contracts in any language, delivered in your format or loaded into your CLM. [Image: Contract Review] Playbook-based negotiation #### Contract Review Routine sales and procurement contracts reviewed and negotiated on your behalf, against a playbook we build for you from your own negotiation history. ### Go live with a CLM your team actually uses From configuration and migration to training and adoption, our attorney-technologists take your platform from signed licence to delivered value. Start a Conversation --- # Contract Abstraction | Contracts Management | ROSHWIN URL: https://roshwin.ai/services/contracts-management/contract-abstraction Summary: AI-based, human-validated extraction of key terms and clause data from contracts in any language, delivered in your format or loaded into your CLM. 02 / Contracts Management ## Contract Abstraction Structured data from any contract AI-based, human-validated extraction of key terms and clause data from contracts in any language, delivered in your format or loaded into your CLM. AI-based Human in the loop Proprietary solution Discuss your matter How we deliver [Image: Contract Abstraction] The challenge Key terms sit locked inside PDFs and Word files, so nobody can report on them. 24-48h To adapt an extraction setup, depending on scale and rules Any Language extracted by AI Native Validation offered in selected languages Your format Or loaded straight into your CLM Our perspective ### How modern teams approach contract abstraction Renewal dates, liability caps, change-of-control clauses and termination rights are only useful if you can find and report on them. For most organisations they are buried across thousands of files. You define the fields and the depth, from basic commercial terms to custom clause data. Our proprietary AI-based solution extracts them, our team samples and validates the results, and you receive structured data ready for search, reporting and risk review. #### You define the fields Choose what to extract and how deep, from basic terms to custom clause data. #### Quick to customise Extraction setups adapted in about 24 to 48 hours, depending on scale and rules. #### Any language AI extracts in the language you need. Native validation is offered in selected languages. How we deliver ### Go slow to go fast We prove the approach on a small sample with you first, then scale. Here is how the work flows, and where AI carries the load versus where our attorneys apply judgement. 44% AI-assisted Technology where it adds value An indicative view of how work is shared between AI and our attorneys at each stage. Judgement, protocol and sign-off always stay with people. AI Attorneys and specialists - 01 ##### Define fields 10% 90% Field list, definitions, formats and decision rules agreed. - 02 ##### AI extraction 90% 10% Terms and clauses extracted across the contract set. - 03 ##### Sample and validate 30% 70% Results sampled, validated and the setup tuned. - 04 ##### Deliver structured data 45% 55% Data delivered in your format or loaded into your CLM. What you receive Structured contract data in your format or loaded into your CLM, ready for search, reporting and risk review. Where it fits best - CLM migrations - Regulatory or obligation reporting - M&A integration - Renewal and revenue leakage reviews Commercials ### Pricing that fits the shape of the work The attorney who scopes your work shares pricing up front. These are the models that typically suit contract abstraction. Typical fit ##### Fixed fee Best for Defined projects, such as a CLM assessment or a contract clean-up. How it is billed One price for an agreed scope and outcome. Typical fit ##### Unit rate with cap Best for Variable volume, such as document review or abstraction. How it is billed Per document or per contract, with a ceiling on total spend. ##### Managed team Best for Ongoing work, such as platform operations or monitoring. How it is billed A monthly fee for a dedicated team, scaled up or down with notice. ##### Hybrid Best for Programmes that mix a project with steady run work. How it is billed A fixed fee to build, then a unit rate or team fee to run. Questions ### What clients ask us How quickly can you start? Extraction setups are typically adapted in about 24 to 48 hours, depending on the volume and the complexity of the rules. What about contracts in other languages? From our Insights ### Our thinking on contract abstraction All insights [Image: The contract intelligence maturity ladder] CLM 6 min read #### Contract Intelligence: From Data to Strategic Insight Transforming the contract repository from a static archive into a dynamic source of commercial intelligence and risk visibility. August 2026 Read Also in Contracts Management ### Related services View practice area [Image: CLM Consultation] Unbiased platform advice #### CLM Consultation Objective guidance, grounded in hands-on experience with the leading CLM platforms, to define your requirements, compare options and choose the one that fits how your business contracts. [Image: CLM Implementation] Configured by attorney-technologists #### CLM Implementation Configuration, migration and adoption support from attorney-technologists, shaping your CLM around how your attorneys actually contract. [Image: Contract Review] Playbook-based negotiation #### Contract Review Routine sales and procurement contracts reviewed and negotiated on your behalf, against a playbook we build for you from your own negotiation history. ### Unlock the data inside your contracts Point us to the repository. We adapt the extraction to your rules, validate every field and deliver structured data you can report and act on. Start a Conversation --- # Contract Review | Contracts Management | ROSHWIN URL: https://roshwin.ai/services/contracts-management/contract-review Summary: Routine sales and procurement contracts reviewed and negotiated on your behalf, against a playbook we build for you from your own negotiation history. 02 / Contracts Management ## Contract Review Playbook-based negotiation Routine sales and procurement contracts reviewed and negotiated on your behalf, against a playbook we build for you from your own negotiation history. Playbook built for you Sales and procurement AI where it helps Discuss your matter How we deliver [Image: Contract Review] The challenge Routine contracts consume legal time, and the same objections come back every time. Built for you Playbook drawn from your negotiation history, signed off by your team New only Pushback outside the playbook escalated for risk assessment Fewer Escalations as each decision folds into the playbook Faster Deal closure as clause analytics reduce recurring pushback Our perspective ### How modern teams approach contract review NDAs, MSAs, DPAs and supplier terms arrive in volume, and each one pulls an attorney away from higher-value work. The answers are usually the same, but they live in people's heads. We build the playbook for you. We study your most-negotiated agreements and past redlines to see where counterparties pushed back, what position you took and why, then turn that into preferred positions, fallback provisions and a clear statement of your risk appetite. Your legal team simply reviews and signs off. We then review and negotiate on your behalf, with AI support where it adds value. Only genuinely new pushback, outside the playbook, is escalated for risk assessment, and each decision folds back into the playbook. Clause analytics show where pushback happens most, so your team can refine standard terms, shorten negotiations and close deals faster. #### We build your playbook Positions, fallbacks and risk appetite drawn from your most-negotiated agreements, ready for your sign-off. #### Negotiate on your behalf Contracts reviewed against the playbook, with AI support where it adds value. #### Escalate only new pushback Anything outside the playbook is flagged for risk assessment, and each decision strengthens the playbook. #### Clause pushback analytics See which clauses draw the most pushback, so terms can be refined and deals close faster. How we deliver ### Go slow to go fast We prove the approach on a small sample with you first, then scale. Here is how the work flows, and where AI carries the load versus where our attorneys apply judgement. 35% AI-assisted Technology where it adds value An indicative view of how work is shared between AI and our attorneys at each stage. Judgement, protocol and sign-off always stay with people. AI Attorneys and specialists - 01 ##### Mine past negotiations 45% 55% Most-negotiated agreements and redlines analysed for positions, pushback and outcomes. - 02 ##### Draft the playbook 20% 80% Preferred positions, fallbacks, risk appetite and escalation triggers drafted by us, signed off by you. - 03 ##### Review and negotiate 40% 60% Contracts redlined and negotiated against the playbook. - 04 ##### Analyse and refine 35% 65% Pushback trends reported by clause, with recommendations to reduce friction in future deals. What you receive A playbook built for you, faster turnaround, fewer escalations over time and clause analytics that show where pushback happens, so you can refine terms and close deals faster. Where it fits best - NDAs and confidentiality agreements - Sales and customer contracts - Procurement and supplier terms - Data processing agreements Commercials ### Pricing that fits the shape of the work The attorney who scopes your work shares pricing up front. These are the models that typically suit contract review. ##### Fixed fee Best for Defined projects, such as a CLM assessment or a contract clean-up. How it is billed One price for an agreed scope and outcome. Typical fit ##### Unit rate with cap Best for Variable volume, such as document review or abstraction. How it is billed Per document or per contract, with a ceiling on total spend. Typical fit ##### Managed team Best for Ongoing work, such as platform operations or monitoring. How it is billed A monthly fee for a dedicated team, scaled up or down with notice. ##### Hybrid Best for Programmes that mix a project with steady run work. How it is billed A fixed fee to build, then a unit rate or team fee to run. Questions ### What clients ask us Do we need an existing playbook? No. We build it for you from your past agreements and negotiation history, and your legal team reviews and signs it off. Who decides what gets escalated? What do the clause analytics show? Do you negotiate directly with counterparties? From our Insights ### Our thinking on contract review All insights [Image: The Roshwin Playbook Learning Loop] Contracts Management 8 min read #### Playbooks That Learn: Contract Review With Falling Escalation Rates How a contract review playbook turns every escalation into a decision made once, and why the best programs track how often they have to ask. November 2026 Read [Image: The contract intelligence maturity ladder] CLM 6 min read #### Contract Intelligence: From Data to Strategic Insight Transforming the contract repository from a static archive into a dynamic source of commercial intelligence and risk visibility. August 2026 Read [Image: The legal middle office model] Legal Operations 7 min read #### The Middle Office: Unlocking Hidden Capacity in Legal Teams How strategic middle-office support allows legal professionals to focus on high-value work while maintaining operational excellence in the background. August 2026 Read Also in Contracts Management ### Related services View practice area [Image: CLM Consultation] Unbiased platform advice #### CLM Consultation Objective guidance, grounded in hands-on experience with the leading CLM platforms, to define your requirements, compare options and choose the one that fits how your business contracts. [Image: CLM Implementation] Configured by attorney-technologists #### CLM Implementation Configuration, migration and adoption support from attorney-technologists, shaping your CLM around how your attorneys actually contract. [Image: Contract Abstraction] Structured data from any contract #### Contract Abstraction AI-based, human-validated extraction of key terms and clause data from contracts in any language, delivered in your format or loaded into your CLM. ### Close deals faster, on your terms We build your playbook from your own negotiation history, negotiate against it and show you exactly where pushback is slowing deals down. Start a Conversation --- # Compliance Management Services | ROSHWIN URL: https://roshwin.ai/services/compliance-management Summary: Repeatable, deadline-driven compliance work, executed with discipline. [Image: Compliance Management] Practice area 03 ## Compliance Management Repeatable, deadline-driven compliance work, executed with discipline. Diligence, remediation, regulatory research, KYC, access requests and breach response share three things: hard deadlines, large volumes and zero tolerance for error. We agree the rules with your counsel first, combine trained reviewers with AI where it helps, and scale to finish on time with a clear record of every decision. 6 Specialist services 24-48h To first work product 1 Attorney lead throughout Services ### Choose where to start [Image: Due Diligence] Any review, against your rules #### Due Diligence Rules-based document review for any diligence exercise, from M&A and vendor onboarding to regulatory change, with findings, gaps and exposures extracted and checked by reviewers. Any diligence trigger Rules first Humans and AI Explore service [Image: Contract Remediation] Repapering at scale #### Contract Remediation Counsel-guided repapering of live contracts after a regulatory, policy or business change, scaled to the deadline with a live status tracker. Any trigger Counsel guided Deadline driven Explore service [Image: Regulatory Survey] Research and monitoring #### Regulatory Survey Validated multi-jurisdiction legal research, compared side by side, as a one-time report or continuous monitoring of change. Multi-jurisdiction One-time or ongoing Validated research Explore service [Image: KYC] Screening and documentation #### KYC Sector-agnostic know-your-customer screening and documentation using your tools or online data sources, with consistent records for every entity. Sector agnostic Your tools or online data Documented Explore service [Image: Data Subject Access Requests] Locate, review, redact #### Data Subject Access Requests GDPR-focused DSAR support: collected data reviewed to find what relates to the requester, with third-party and confidential information redacted. GDPR focus Other privacy laws Redaction Explore service [Image: Incident Response] Notification lists after a breach #### Incident Response Post-breach data review to identify affected individuals and their information, delivered as a validated, de-duplicated notification list. Notification lists PII identification De-duplicated Explore service Why ROSHWIN ### What makes our compliance management work different ##### Built by attorneys, for attorneys Our founders have worked as in-house counsel and in law firms. We understand legal workflows from the inside, and our priority is the work, not an investor's agenda. ##### Attorneys in the technologist's chair Your solution is designed by attorney-technologists, equally deep in legal practice and in technology, balancing GenAI speed with accuracy, defensibility and risk. Technology only where it creates genuine value. ##### One attorney, start to finish The attorney you first speak with scopes your work, shares pricing and leads delivery, feedback and lessons learned. One point of contact, accountable for the outcome. ##### Specialist pods Teams that pair a matter type with an industry, so the people shaping your work have seen it before, and embed with your team as one unit. ##### Platform agnostic We work hands-on across the leading platforms and recommend the one that fits you. We take no referral fees, so our advice stays objective. ##### No legacy baggage We are new, so no old process or technology dictates how we work. We build with the best of today, backed by decades of experience. From our Insights ### Insights on compliance management All insights [Image: The contract intelligence maturity ladder] CLM 6 min read #### Contract Intelligence: From Data to Strategic Insight Transforming the contract repository from a static archive into a dynamic source of commercial intelligence and risk visibility. August 2026 Read [Image: The legal middle office model] Legal Operations 7 min read #### The Middle Office: Unlocking Hidden Capacity in Legal Teams How strategic middle-office support allows legal professionals to focus on high-value work while maintaining operational excellence in the background. August 2026 Read ### Other practice areas 01 #### Litigation and Investigation Specialist review and fact-finding for disputes, investigations and regulatory matters. 02 #### Contracts Management From choosing the right platform to extracting data and negotiating on your behalf. 04 #### Legal Digital Transformation Technology consulting, signal intelligence and GenAI automation for modern legal teams. ### Let's talk compliance management Tell us what you are facing. An attorney lead will shape the right approach, agree the price up front and stay accountable for the outcome. Start a Conversation --- # Due Diligence | Compliance Management | ROSHWIN URL: https://roshwin.ai/services/compliance-management/due-diligence Summary: Rules-based document review for any diligence exercise, from M&A and vendor onboarding to regulatory change, with findings, gaps and exposures extracted and checked by reviewers. 03 / Compliance Management ## Due Diligence Any review, against your rules Rules-based document review for any diligence exercise, from M&A and vendor onboarding to regulatory change, with findings, gaps and exposures extracted and checked by reviewers. Any diligence trigger Rules first Humans and AI Discuss your matter How we deliver [Image: Due Diligence] The challenge Whatever triggers it, diligence means large volumes of documents read against set criteria, on a hard deadline. Any Diligence exercise, whatever triggers it Rules Agreed with your team before review starts Checked Every finding verified by a reviewer Actionable Findings that show exposure and next steps Our perspective ### How modern teams approach due diligence Diligence is not one exercise. A deal, a new vendor, a regulatory change or an internal policy update each mean reading a body of documents against defined parameters to find out what they contain, whether they comply and where the exposure sits. Whatever the origin, we start with a clear purpose and clear review rules agreed with your team. Reviewers and AI work together to extract the information, answer questionnaires and flag gaps and risks, and every finding is checked before it reaches you, so you can assess the exposure and act. #### Any diligence exercise M&A, vendor and third party, regulatory change, policy compliance or any review against set criteria. #### Rules first With a clear purpose and clear review rules, we capture the information your team needs. #### People plus AI Questionnaire answers and key findings are extracted and checked by reviewers. How we deliver ### Go slow to go fast We prove the approach on a small sample with you first, then scale. Here is how the work flows, and where AI carries the load versus where our attorneys apply judgement. 35% AI-assisted Technology where it adds value An indicative view of how work is shared between AI and our attorneys at each stage. Judgement, protocol and sign-off always stay with people. AI Attorneys and specialists - 01 ##### Agree purpose and rules 5% 95% Purpose, risk thresholds and review rules agreed with your team. - 02 ##### Review documents 60% 40% Documents reviewed against the agreed parameters, in your data room or platform. - 03 ##### Extract and verify 50% 50% Answers, gaps and findings extracted and verified. - 04 ##### Report findings 25% 75% Risks, exposures and structured findings reported so you can act. What you receive Structured findings, completed questionnaires and a clear view of risks and exposures, so your team can decide and act. Where it fits best - M&A buy-side and sell-side diligence - Vendor, supplier and third-party reviews - Regulatory change impact reviews - Policy and compliance gap assessments Flexible by design ### Whatever triggers the diligence If documents need to be read against defined criteria to understand risk and exposure, we can run it, whatever the origin. Transactions and partners M&A and investments Financing and lending Vendor and supplier onboarding Third-party risk programmes Change and compliance Regulatory change Policy and standard updates Post-merger integration Audit readiness Commercials ### Pricing that fits the shape of the work The attorney who scopes your work shares pricing up front. These are the models that typically suit due diligence. Typical fit ##### Fixed fee Best for Defined projects, such as a CLM assessment or a contract clean-up. How it is billed One price for an agreed scope and outcome. Typical fit ##### Unit rate with cap Best for Variable volume, such as document review or abstraction. How it is billed Per document or per contract, with a ceiling on total spend. ##### Managed team Best for Ongoing work, such as platform operations or monitoring. How it is billed A monthly fee for a dedicated team, scaled up or down with notice. ##### Hybrid Best for Programmes that mix a project with steady run work. How it is billed A fixed fee to build, then a unit rate or team fee to run. Questions ### What clients ask us Is diligence limited to M&A or vendor reviews? No. Any exercise where documents are reviewed against set rules or parameters, such as a regulatory change or a policy update, follows the same method. Do you make the risk decision? Can you work inside our virtual data room? Also in Compliance Management ### Related services View practice area [Image: Contract Remediation] Repapering at scale #### Contract Remediation Counsel-guided repapering of live contracts after a regulatory, policy or business change, scaled to the deadline with a live status tracker. [Image: Regulatory Survey] Research and monitoring #### Regulatory Survey Validated multi-jurisdiction legal research, compared side by side, as a one-time report or continuous monitoring of change. [Image: KYC] Screening and documentation #### KYC Sector-agnostic know-your-customer screening and documentation using your tools or online data sources, with consistent records for every entity. [Image: Data Subject Access Requests] Locate, review, redact #### Data Subject Access Requests GDPR-focused DSAR support: collected data reviewed to find what relates to the requester, with third-party and confidential information redacted. [Image: Incident Response] Notification lists after a breach #### Incident Response Post-breach data review to identify affected individuals and their information, delivered as a validated, de-duplicated notification list. ### Know your exposure before it becomes a problem Whatever triggers the review, we set the parameters with you, check every document against them and hand you findings you can act on. Start a Conversation --- # Contract Remediation | Compliance Management | ROSHWIN URL: https://roshwin.ai/services/compliance-management/contract-remediation Summary: Counsel-guided repapering of live contracts after a regulatory, policy or business change, scaled to the deadline with a live status tracker. 03 / Compliance Management ## Contract Remediation Repapering at scale Counsel-guided repapering of live contracts after a regulatory, policy or business change, scaled to the deadline with a live status tracker. Any trigger Counsel guided Deadline driven Discuss your matter How we deliver [Image: Contract Remediation] The challenge A regulation or policy changes, and thousands of live contracts have to follow. Any Trigger: regulation, policy or business Sign-off From counsel before scaling Live Status tracker across the population Per contract Clear record of what changed and why Our perspective ### How modern teams approach contract remediation Benchmark reforms, new data protection rules, sanctions changes or a new corporate policy can each put thousands of live contracts out of step overnight. The work is repetitive, but every contract needs the right decision. We agree the reason, the remediation and the rules with your counsel first. Once they sign off, we scale the team to finish on time at the quality you expect, and track every contract through to completion. #### Any reason, any clause Regulatory change, policy change or a business decision. #### Aligned with counsel first We agree the reason, the remediation and the rules with your team. #### Ramped to the deadline Once counsel signs off, we scale the team to finish on time at the quality you expect. How we deliver ### Go slow to go fast We prove the approach on a small sample with you first, then scale. Here is how the work flows, and where AI carries the load versus where our attorneys apply judgement. 26% AI-assisted Technology where it adds value An indicative view of how work is shared between AI and our attorneys at each stage. Judgement, protocol and sign-off always stay with people. AI Attorneys and specialists - 01 ##### Align on reason 5% 95% Trigger, population and required outcome agreed. - 02 ##### Set the rules 15% 85% Decision rules and remediation language signed off. - 03 ##### Scale and execute 50% 50% Contracts triaged, amended and tracked at scale. - 04 ##### Track and report 35% 65% Live status reporting and a record for each contract. What you receive Remediated contracts, a live status tracker and a clear record for each contract. Where it fits best - Regulatory repapering - Data protection clause updates - Entity changes after M&A - Policy or template refreshes Commercials ### Pricing that fits the shape of the work The attorney who scopes your work shares pricing up front. These are the models that typically suit contract remediation. ##### Fixed fee Best for Defined projects, such as a CLM assessment or a contract clean-up. How it is billed One price for an agreed scope and outcome. Typical fit ##### Unit rate with cap Best for Variable volume, such as document review or abstraction. How it is billed Per document or per contract, with a ceiling on total spend. ##### Managed team Best for Ongoing work, such as platform operations or monitoring. How it is billed A monthly fee for a dedicated team, scaled up or down with notice. Typical fit ##### Hybrid Best for Programmes that mix a project with steady run work. How it is billed A fixed fee to build, then a unit rate or team fee to run. Questions ### What clients ask us How do you handle contracts that do not fit the rules? They are flagged and escalated to your counsel, and the decision is captured so similar contracts are handled consistently. Can you manage counterparty outreach? From our Insights ### Our thinking on contract remediation All insights [Image: The contract intelligence maturity ladder] CLM 6 min read #### Contract Intelligence: From Data to Strategic Insight Transforming the contract repository from a static archive into a dynamic source of commercial intelligence and risk visibility. August 2026 Read Also in Compliance Management ### Related services View practice area [Image: Due Diligence] Any review, against your rules #### Due Diligence Rules-based document review for any diligence exercise, from M&A and vendor onboarding to regulatory change, with findings, gaps and exposures extracted and checked by reviewers. [Image: Regulatory Survey] Research and monitoring #### Regulatory Survey Validated multi-jurisdiction legal research, compared side by side, as a one-time report or continuous monitoring of change. [Image: KYC] Screening and documentation #### KYC Sector-agnostic know-your-customer screening and documentation using your tools or online data sources, with consistent records for every entity. [Image: Data Subject Access Requests] Locate, review, redact #### Data Subject Access Requests GDPR-focused DSAR support: collected data reviewed to find what relates to the requester, with third-party and confidential information redacted. [Image: Incident Response] Notification lists after a breach #### Incident Response Post-breach data review to identify affected individuals and their information, delivered as a validated, de-duplicated notification list. ### Bring every contract up to standard After a regulatory, policy or business change, we identify what must change, draft the updates and track each contract through to completion. Start a Conversation --- # Regulatory Survey | Compliance Management | ROSHWIN URL: https://roshwin.ai/services/compliance-management/regulatory-survey Summary: Validated multi-jurisdiction legal research, compared side by side, as a one-time report or continuous monitoring of change. 03 / Compliance Management ## Regulatory Survey Research and monitoring Validated multi-jurisdiction legal research, compared side by side, as a one-time report or continuous monitoring of change. Multi-jurisdiction One-time or ongoing Validated research Discuss your matter How we deliver [Image: Regulatory Survey] The challenge What the law requires across jurisdictions is slow to establish, and it keeps changing. Side by side Comparison across jurisdictions 2 modes One-time report or ongoing monitoring Validated Research checked before delivery Alerts When the law changes Our perspective ### How modern teams approach regulatory survey Global businesses need to know what each jurisdiction requires, whether for privacy, employment, licensing, ESG or product rules. Commissioning separate opinions in each country is slow and expensive, and the answer changes. We research what each law requires and compare it side by side, then validate the output. Choose a single research report or continuous monitoring, and receive summaries and comparison matrices your teams can act on. Research and monitoring across US, Canadian, UK, EU and GCC regulators. #### Multi-jurisdiction research What each law requires, compared side by side. #### One-time or ongoing A single research report, or continuous monitoring of change. #### Usable output Summaries and comparison matrices your teams can act on. How we deliver ### Go slow to go fast We prove the approach on a small sample with you first, then scale. Here is how the work flows, and where AI carries the load versus where our attorneys apply judgement. 33% AI-assisted Technology where it adds value An indicative view of how work is shared between AI and our attorneys at each stage. Judgement, protocol and sign-off always stay with people. AI Attorneys and specialists - 01 ##### Scope jurisdictions 10% 90% Jurisdictions, questions and output format agreed. - 02 ##### Research 50% 50% Primary and secondary sources researched for each question. - 03 ##### Compare and validate 25% 75% Answers compared, validated and summarised. - 04 ##### Report and update 45% 55% Matrices delivered and refreshed as laws change. What you receive Jurisdiction comparison reports and update alerts for your legal and compliance teams. Where it fits best - Privacy and data transfer rules - Employment law surveys - Licensing and product regulation - ESG and reporting obligations Commercials ### Pricing that fits the shape of the work The attorney who scopes your work shares pricing up front. These are the models that typically suit regulatory survey. Typical fit ##### Fixed fee Best for Defined projects, such as a CLM assessment or a contract clean-up. How it is billed One price for an agreed scope and outcome. ##### Unit rate with cap Best for Variable volume, such as document review or abstraction. How it is billed Per document or per contract, with a ceiling on total spend. Typical fit ##### Managed team Best for Ongoing work, such as platform operations or monitoring. How it is billed A monthly fee for a dedicated team, scaled up or down with notice. ##### Hybrid Best for Programmes that mix a project with steady run work. How it is billed A fixed fee to build, then a unit rate or team fee to run. Questions ### What clients ask us Is this a substitute for local counsel? It complements local counsel. We give you a validated, comparable view across jurisdictions, and help you focus local counsel on the questions that need an opinion. How are updates delivered? Also in Compliance Management ### Related services View practice area [Image: Due Diligence] Any review, against your rules #### Due Diligence Rules-based document review for any diligence exercise, from M&A and vendor onboarding to regulatory change, with findings, gaps and exposures extracted and checked by reviewers. [Image: Contract Remediation] Repapering at scale #### Contract Remediation Counsel-guided repapering of live contracts after a regulatory, policy or business change, scaled to the deadline with a live status tracker. [Image: KYC] Screening and documentation #### KYC Sector-agnostic know-your-customer screening and documentation using your tools or online data sources, with consistent records for every entity. [Image: Data Subject Access Requests] Locate, review, redact #### Data Subject Access Requests GDPR-focused DSAR support: collected data reviewed to find what relates to the requester, with third-party and confidential information redacted. [Image: Incident Response] Notification lists after a breach #### Incident Response Post-breach data review to identify affected individuals and their information, delivered as a validated, de-duplicated notification list. ### Stay ahead of regulatory change Name the jurisdictions and questions. We deliver validated, side-by-side answers, once or as continuous monitoring as the rules evolve. Start a Conversation --- # KYC | Compliance Management | ROSHWIN URL: https://roshwin.ai/services/compliance-management/kyc Summary: Sector-agnostic know-your-customer screening and documentation using your tools or online data sources, with consistent records for every entity. 03 / Compliance Management ## KYC Screening and documentation Sector-agnostic know-your-customer screening and documentation using your tools or online data sources, with consistent records for every entity. Sector agnostic Your tools or online data Documented Discuss your matter How we deliver [Image: KYC] The challenge Onboarding checks are repetitive, document heavy and time critical. Any Industry: adaptable beyond financial services Your tools Or online data sources Standard Procedure for every entity Exceptions Escalated for your decision Our perspective ### How modern teams approach KYC Onboarding cannot wait, but neither can compliance. KYC work demands a repeatable procedure applied identically to every entity, with notes that stand up to audit. We follow a standard procedure agreed with you, use your screening tools or online data sources, and document every check. Exceptions are escalated so your compliance team can decide. We have delivered this for a number of financial services clients, and the approach adapts to any industry. #### Your tools or ours We use your screening tools, or online data sources. #### Sector agnostic Delivered for a number of financial services clients, and adaptable to any industry. #### Consistent records A standard procedure and clear notes for every entity checked. How we deliver ### Go slow to go fast We prove the approach on a small sample with you first, then scale. Here is how the work flows, and where AI carries the load versus where our attorneys apply judgement. 28% AI-assisted Technology where it adds value An indicative view of how work is shared between AI and our attorneys at each stage. Judgement, protocol and sign-off always stay with people. AI Attorneys and specialists - 01 ##### Agree procedure 5% 95% Checks, risk thresholds and documentation standard agreed. - 02 ##### Screen entities 55% 45% Entities screened against your tools or online sources. - 03 ##### Review and document 30% 70% Results reviewed and notes recorded for each entity. - 04 ##### Escalate and report 20% 80% Exceptions escalated; status and exception reports delivered. What you receive Completed, documented KYC files and exception reports, so your compliance team can decide. Where it fits best - Client and counterparty onboarding - Periodic KYC refreshes - Backlog clearance - Vendor screening Commercials ### Pricing that fits the shape of the work The attorney who scopes your work shares pricing up front. These are the models that typically suit kyc. ##### Fixed fee Best for Defined projects, such as a CLM assessment or a contract clean-up. How it is billed One price for an agreed scope and outcome. Typical fit ##### Unit rate with cap Best for Variable volume, such as document review or abstraction. How it is billed Per document or per contract, with a ceiling on total spend. Typical fit ##### Managed team Best for Ongoing work, such as platform operations or monitoring. How it is billed A monthly fee for a dedicated team, scaled up or down with notice. ##### Hybrid Best for Programmes that mix a project with steady run work. How it is billed A fixed fee to build, then a unit rate or team fee to run. Questions ### What clients ask us Do you make the onboarding decision? No. We complete and document the checks and escalate exceptions; your compliance team decides. Can you work in our screening platform? From our Insights ### Our thinking on KYC All insights [Image: The legal middle office model] Legal Operations 7 min read #### The Middle Office: Unlocking Hidden Capacity in Legal Teams How strategic middle-office support allows legal professionals to focus on high-value work while maintaining operational excellence in the background. August 2026 Read Also in Compliance Management ### Related services View practice area [Image: Due Diligence] Any review, against your rules #### Due Diligence Rules-based document review for any diligence exercise, from M&A and vendor onboarding to regulatory change, with findings, gaps and exposures extracted and checked by reviewers. [Image: Contract Remediation] Repapering at scale #### Contract Remediation Counsel-guided repapering of live contracts after a regulatory, policy or business change, scaled to the deadline with a live status tracker. [Image: Regulatory Survey] Research and monitoring #### Regulatory Survey Validated multi-jurisdiction legal research, compared side by side, as a one-time report or continuous monitoring of change. [Image: Data Subject Access Requests] Locate, review, redact #### Data Subject Access Requests GDPR-focused DSAR support: collected data reviewed to find what relates to the requester, with third-party and confidential information redacted. [Image: Incident Response] Notification lists after a breach #### Incident Response Post-breach data review to identify affected individuals and their information, delivered as a validated, de-duplicated notification list. ### Onboard faster without cutting corners We screen and document every entity to your standards, with consistent records that stand up to audit and keep your pipeline moving. Start a Conversation --- # Data Subject Access Requests | Compliance Management | ROSHWIN URL: https://roshwin.ai/services/compliance-management/dsar Summary: GDPR-focused DSAR support: collected data reviewed to find what relates to the requester, with third-party and confidential information redacted. 03 / Compliance Management ## Data Subject Access Requests Locate, review, redact GDPR-focused DSAR support: collected data reviewed to find what relates to the requester, with third-party and confidential information redacted. GDPR focus Other privacy laws Redaction Discuss your matter How we deliver [Image: Data Subject Access Requests] The challenge Access requests run on a tight clock, and one person's data is scattered across many documents. 1 month Typical GDPR response window we work to Playbook Agreed with you before review Redacted Third-party and confidential data removed Verified Response set ready for release Our perspective ### How modern teams approach data subject access requests Under the GDPR, organisations generally have one month to respond to an access request. A single requester can surface thousands of emails, chats and files, each of which may also contain other people's data or confidential information. We agree a playbook with you, review the collected data to find what relates to the requester, and redact third-party and confidential information. The same approach works for other privacy laws with similar review needs. We handle requests under UK GDPR and EU GDPR, Canada's PIPEDA, US state privacy laws such as California's CCPA, and the UAE's data protection laws, including the DIFC regime. #### Locate and review Collected data is reviewed to find what relates to the requester. #### Redact Third-party and confidential information is removed. #### Built for GDPR The same approach works for other privacy laws with similar review needs. How we deliver ### Go slow to go fast We prove the approach on a small sample with you first, then scale. Here is how the work flows, and where AI carries the load versus where our attorneys apply judgement. 33% AI-assisted Technology where it adds value An indicative view of how work is shared between AI and our attorneys at each stage. Judgement, protocol and sign-off always stay with people. AI Attorneys and specialists - 01 ##### Agree playbook 5% 95% Scope, exemptions and redaction rules agreed. - 02 ##### Process the data 70% 30% Collected data de-duplicated, threaded and prioritised. - 03 ##### Review and redact 40% 60% Relevant data identified; third-party and confidential data redacted. - 04 ##### Deliver to client 15% 85% Verified response set delivered for release. What you receive A verified, redacted response set for your team to release to the requester. Where it fits best - Employee DSARs - Customer access requests - Litigation-linked requests - Backlogs and peaks in volume Commercials ### Pricing that fits the shape of the work The attorney who scopes your work shares pricing up front. These are the models that typically suit data subject access requests. ##### Fixed fee Best for Defined projects, such as a CLM assessment or a contract clean-up. How it is billed One price for an agreed scope and outcome. Typical fit ##### Unit rate with cap Best for Variable volume, such as document review or abstraction. How it is billed Per document or per contract, with a ceiling on total spend. Typical fit ##### Managed team Best for Ongoing work, such as platform operations or monitoring. How it is billed A monthly fee for a dedicated team, scaled up or down with notice. ##### Hybrid Best for Programmes that mix a project with steady run work. How it is billed A fixed fee to build, then a unit rate or team fee to run. Questions ### What clients ask us Do you send the response to the requester? No. We deliver a verified, redacted response set to your team, who release it. Which privacy laws do you support? Also in Compliance Management ### Related services View practice area [Image: Due Diligence] Any review, against your rules #### Due Diligence Rules-based document review for any diligence exercise, from M&A and vendor onboarding to regulatory change, with findings, gaps and exposures extracted and checked by reviewers. [Image: Contract Remediation] Repapering at scale #### Contract Remediation Counsel-guided repapering of live contracts after a regulatory, policy or business change, scaled to the deadline with a live status tracker. [Image: Regulatory Survey] Research and monitoring #### Regulatory Survey Validated multi-jurisdiction legal research, compared side by side, as a one-time report or continuous monitoring of change. [Image: KYC] Screening and documentation #### KYC Sector-agnostic know-your-customer screening and documentation using your tools or online data sources, with consistent records for every entity. [Image: Incident Response] Notification lists after a breach #### Incident Response Post-breach data review to identify affected individuals and their information, delivered as a validated, de-duplicated notification list. ### Answer every request accurately and on time We locate the requester's data, redact what should not be shared and deliver a response package that is ready to release. Start a Conversation --- # Incident Response | Compliance Management | ROSHWIN URL: https://roshwin.ai/services/compliance-management/incident-response Summary: Post-breach data review to identify affected individuals and their information, delivered as a validated, de-duplicated notification list. 03 / Compliance Management ## Incident Response Notification lists after a breach Post-breach data review to identify affected individuals and their information, delivered as a validated, de-duplicated notification list. Notification lists PII identification De-duplicated Discuss your matter How we deliver [Image: Incident Response] The challenge After a data breach, you must work out who was affected, and quickly. PII Identified across the affected data De-duplicated One record per individual Validated List in your counsel's format Focused Scope that keeps counsel in control Our perspective ### How modern teams approach incident response Notification deadlines after a breach can be measured in days. Before counsel can notify anyone, someone must find every individual in the compromised data, identify what information was exposed and reconcile duplicates across files. We review the affected data to identify individuals and the personal information involved, then de-duplicate and validate the results into a clean notification list in the format your counsel needs. Our scope is focused: we prepare the list, and your counsel drafts and sends the notifications. #### Review affected data Documents reviewed to identify individuals and the information involved. #### A clean notification list De-duplicated, validated and in the format your counsel needs. #### A focused scope We prepare the list. Your counsel drafts and sends the notifications. How we deliver ### Go slow to go fast We prove the approach on a small sample with you first, then scale. Here is how the work flows, and where AI carries the load versus where our attorneys apply judgement. 33% AI-assisted Technology where it adds value An indicative view of how work is shared between AI and our attorneys at each stage. Judgement, protocol and sign-off always stay with people. AI Attorneys and specialists - 01 ##### Receive data 10% 90% Affected data received securely and scoped. - 02 ##### Identify people and data 65% 35% Individuals and exposed data elements identified. - 03 ##### Validate and de-duplicate 45% 55% Records reconciled into one entry per individual. - 04 ##### Deliver the list 10% 90% Validated notification list delivered to counsel. What you receive A validated notification list your counsel can act on. Where it fits best - Ransomware and data exfiltration events - Business email compromise - Lost or exposed file shares - Vendor-side breaches Commercials ### Pricing that fits the shape of the work The attorney who scopes your work shares pricing up front. These are the models that typically suit incident response. Typical fit ##### Fixed fee Best for Defined projects, such as a CLM assessment or a contract clean-up. How it is billed One price for an agreed scope and outcome. Typical fit ##### Unit rate with cap Best for Variable volume, such as document review or abstraction. How it is billed Per document or per contract, with a ceiling on total spend. ##### Managed team Best for Ongoing work, such as platform operations or monitoring. How it is billed A monthly fee for a dedicated team, scaled up or down with notice. ##### Hybrid Best for Programmes that mix a project with steady run work. How it is billed A fixed fee to build, then a unit rate or team fee to run. Questions ### What clients ask us Do you send notifications? No. We prepare the validated list; your counsel drafts and sends the notifications. How do you handle the same person appearing in many files? Also in Compliance Management ### Related services View practice area [Image: Due Diligence] Any review, against your rules #### Due Diligence Rules-based document review for any diligence exercise, from M&A and vendor onboarding to regulatory change, with findings, gaps and exposures extracted and checked by reviewers. [Image: Contract Remediation] Repapering at scale #### Contract Remediation Counsel-guided repapering of live contracts after a regulatory, policy or business change, scaled to the deadline with a live status tracker. [Image: Regulatory Survey] Research and monitoring #### Regulatory Survey Validated multi-jurisdiction legal research, compared side by side, as a one-time report or continuous monitoring of change. [Image: KYC] Screening and documentation #### KYC Sector-agnostic know-your-customer screening and documentation using your tools or online data sources, with consistent records for every entity. [Image: Data Subject Access Requests] Locate, review, redact #### Data Subject Access Requests GDPR-focused DSAR support: collected data reviewed to find what relates to the requester, with third-party and confidential information redacted. ### Move from breach to notification with clarity We review the affected data, identify every impacted individual and deliver a validated, de-duplicated notification list you can rely on. Start a Conversation --- # Legal Digital Transformation Services | ROSHWIN URL: https://roshwin.ai/services/legal-digital-transformation Summary: Technology consulting, signal intelligence and GenAI automation for modern legal teams. [Image: Legal Digital Transformation] Practice area 04 ## Legal Digital Transformation Technology consulting, signal intelligence and GenAI automation for modern legal teams. Legal teams are expected to do more with technology, but tools are bought without a roadmap, data does not connect and nobody has time to run the platforms. We advise vendor-neutrally, monitor the legal signals that matter, automate repetitive work with GenAI, and run your legal technology day to day. 4 Specialist services 24-48h To first work product 1 Attorney lead throughout Services ### Choose where to start [Image: Legal Tech Consulting] Choose and roll out the right tools #### Legal Tech Consulting Vendor-neutral assessment of your workflows, a technology roadmap built around them, and hands-on implementation and adoption support. Advice plus implementation Vendor neutral Roadmap led Explore service [Image: Legal Signal Intelligence] Monitored, structured, actionable #### Legal Signal Intelligence Regulatory, judicial and government sources monitored, with relevant signals extracted, human-validated and delivered as trackers, alerts and dashboards. Trackers and alerts Dashboards Human validated Explore service [Image: GenAI Workflow Automation] GenAI built into how you work #### GenAI Workflow Automation We assess where GenAI adds real value against its risk, then build it into your existing legal workflows and platforms, connecting siloed tools and data into one automated flow with human checkpoints. Value versus risk Built on your stack Human in the loop Explore service [Image: Legal Managed Services] Technology, processes and people #### Legal Managed Services We run your legal platforms and processes day to day, take on one-off projects, and provide skilled people, from one specialist to a full embedded team, whenever you need capacity. Platforms and processes Projects Flexible staffing Explore service Why ROSHWIN ### What makes our legal digital transformation work different ##### Built by attorneys, for attorneys Our founders have worked as in-house counsel and in law firms. We understand legal workflows from the inside, and our priority is the work, not an investor's agenda. ##### Attorneys in the technologist's chair Your solution is designed by attorney-technologists, equally deep in legal practice and in technology, balancing GenAI speed with accuracy, defensibility and risk. Technology only where it creates genuine value. ##### One attorney, start to finish The attorney you first speak with scopes your work, shares pricing and leads delivery, feedback and lessons learned. One point of contact, accountable for the outcome. ##### Specialist pods Teams that pair a matter type with an industry, so the people shaping your work have seen it before, and embed with your team as one unit. ##### Platform agnostic We work hands-on across the leading platforms and recommend the one that fits you. We take no referral fees, so our advice stays objective. ##### No legacy baggage We are new, so no old process or technology dictates how we work. We build with the best of today, backed by decades of experience. From our Insights ### Insights on legal digital transformation All insights [Image: The Roshwin Playbook Learning Loop] Contracts Management 8 min read #### Playbooks That Learn: Contract Review With Falling Escalation Rates How a contract review playbook turns every escalation into a decision made once, and why the best programs track how often they have to ask. November 2026 Read [Image: Legal technology evaluation radar] Technology 9 min read #### Evaluating Legal Technology: Beyond the Feature List A framework for assessing legal technology investments that accounts for integration complexity, change management, and long-term total cost of ownership. August 2026 Read [Image: The legal middle office model] Legal Operations 7 min read #### The Middle Office: Unlocking Hidden Capacity in Legal Teams How strategic middle-office support allows legal professionals to focus on high-value work while maintaining operational excellence in the background. August 2026 Read ### Other practice areas 01 #### Litigation and Investigation Specialist review and fact-finding for disputes, investigations and regulatory matters. 02 #### Contracts Management From choosing the right platform to extracting data and negotiating on your behalf. 03 #### Compliance Management Repeatable, deadline-driven compliance work, executed with discipline. ### Let's talk legal digital transformation Tell us what you are facing. An attorney lead will shape the right approach, agree the price up front and stay accountable for the outcome. Start a Conversation --- # Legal Tech Consulting | Legal Digital Transformation | ROSHWIN URL: https://roshwin.ai/services/legal-digital-transformation/legal-tech-consulting Summary: Vendor-neutral assessment of your workflows, a technology roadmap built around them, and hands-on implementation and adoption support. 04 / Legal Digital Transformation ## Legal Tech Consulting Choose and roll out the right tools Vendor-neutral assessment of your workflows, a technology roadmap built around them, and hands-on implementation and adoption support. Advice plus implementation Vendor neutral Roadmap led Discuss your matter How we deliver [Image: Legal Tech Consulting] The challenge Legal teams buy technology without a clear view of what will actually fit. Workflows Assessed before any tool is chosen Neutral Recommendations tied to need and budget Roadmap Sequenced and costed Rollout Implementation and adoption support Our perspective ### How modern teams approach legal tech consulting The legal technology market now spans matter management, e-billing, CLM, knowledge, intake and a fast-growing set of GenAI tools. Buying point solutions without a roadmap leads to overlap, shelfware and frustrated attorneys. We assess your workflows first, then build a technology roadmap around them. Our recommendations are tied to your needs and budget, and because we can also implement, the roadmap turns into a working rollout rather than a slide deck. #### Needs to roadmap We assess workflows and build a technology roadmap around them. #### Advice and implementation We recommend the tools and can implement them. #### Vendor neutral Recommendations tied to your needs and your budget. How we deliver ### Go slow to go fast We prove the approach on a small sample with you first, then scale. Here is how the work flows, and where AI carries the load versus where our attorneys apply judgement. 19% AI-assisted Technology where it adds value An indicative view of how work is shared between AI and our attorneys at each stage. Judgement, protocol and sign-off always stay with people. AI Attorneys and specialists - 01 ##### Assess 15% 85% Workflows, pain points, current tools and data mapped. - 02 ##### Recommend 15% 85% Prioritised roadmap and vendor shortlist. - 03 ##### Implement 30% 70% Selected tools configured and integrated. - 04 ##### Support adoption 15% 85% Training, champions and usage tracking. What you receive A technology roadmap, a vendor shortlist and a working rollout. Where it fits best - Legal department technology strategy - GenAI tool evaluation - Matter management and e-billing selection - Tool rationalisation Commercials ### Pricing that fits the shape of the work The attorney who scopes your work shares pricing up front. These are the models that typically suit legal tech consulting. Typical fit ##### Fixed fee Best for Defined projects, such as a CLM assessment or a contract clean-up. How it is billed One price for an agreed scope and outcome. ##### Unit rate with cap Best for Variable volume, such as document review or abstraction. How it is billed Per document or per contract, with a ceiling on total spend. ##### Managed team Best for Ongoing work, such as platform operations or monitoring. How it is billed A monthly fee for a dedicated team, scaled up or down with notice. Typical fit ##### Hybrid Best for Programmes that mix a project with steady run work. How it is billed A fixed fee to build, then a unit rate or team fee to run. Questions ### What clients ask us Do you resell any software? No. We are vendor neutral, so recommendations are tied only to your needs and budget. Can you help evaluate GenAI tools specifically? From our Insights ### Our thinking on legal tech consulting All insights [Image: Legal technology evaluation radar] Technology 9 min read #### Evaluating Legal Technology: Beyond the Feature List A framework for assessing legal technology investments that accounts for integration complexity, change management, and long-term total cost of ownership. August 2026 Read [Image: Change management and transformation success rates] Transformation 5 min read #### Modernizing Legal Departments Without Disruption A phased approach to digital transformation that respects operational continuity and brings teams along on the journey rather than imposing change. June 2026 Read Also in Legal Digital Transformation ### Related services View practice area [Image: Legal Signal Intelligence] Monitored, structured, actionable #### Legal Signal Intelligence Regulatory, judicial and government sources monitored, with relevant signals extracted, human-validated and delivered as trackers, alerts and dashboards. [Image: GenAI Workflow Automation] GenAI built into how you work #### GenAI Workflow Automation We assess where GenAI adds real value against its risk, then build it into your existing legal workflows and platforms, connecting siloed tools and data into one automated flow with human checkpoints. [Image: Legal Managed Services] Technology, processes and people #### Legal Managed Services We run your legal platforms and processes day to day, take on one-off projects, and provide skilled people, from one specialist to a full embedded team, whenever you need capacity. ### Invest in legal technology that pays off We assess how your team really works, build a roadmap around it and stay hands-on until the tools are adopted and delivering value. Start a Conversation --- # Legal Signal Intelligence | Legal Digital Transformation | ROSHWIN URL: https://roshwin.ai/services/legal-digital-transformation/legal-signal-intelligence Summary: Regulatory, judicial and government sources monitored, with relevant signals extracted, human-validated and delivered as trackers, alerts and dashboards. 04 / Legal Digital Transformation ## Legal Signal Intelligence Monitored, structured, actionable Regulatory, judicial and government sources monitored, with relevant signals extracted, human-validated and delivered as trackers, alerts and dashboards. Trackers and alerts Dashboards Human validated Discuss your matter How we deliver [Image: Legal Signal Intelligence] The challenge Relevant legal developments surface across many websites, and nobody can watch them all. Many Regulatory, judicial and government sources Validated Signals checked by people Structured Into trackers and dashboards Tailored Alerts for what your team needs Our perspective ### How modern teams approach legal signal intelligence Court hearing dates, new regulations, consultation papers, government website changes and country positions on a legal topic are published across hundreds of sources, in different formats and languages. We monitor the sources you care about, capture and validate the relevant signals, structure them, and deliver trackers, alerts, dashboards and reports tailored to what your team needs to act on. #### Monitor Regulatory, judicial, government and other sources, from court hearing dates to website changes. #### Extract and validate Relevant signals are captured, checked and structured. #### Analyse and deliver Trackers, alerts, dashboards and reports tailored to what your team needs. How we deliver ### Go slow to go fast We prove the approach on a small sample with you first, then scale. Here is how the work flows, and where AI carries the load versus where our attorneys apply judgement. 46% AI-assisted Technology where it adds value An indicative view of how work is shared between AI and our attorneys at each stage. Judgement, protocol and sign-off always stay with people. AI Attorneys and specialists - 01 ##### Define sources and signals 10% 90% Sources, topics and alert thresholds agreed. - 02 ##### Monitor and extract 85% 15% Sources watched and relevant changes captured. - 03 ##### Validate and analyse 35% 65% Signals checked, classified and summarised. - 04 ##### Deliver trackers and alerts 55% 45% Dashboards, trackers and alerts delivered on cadence. What you receive Trackers, alerts and dashboards such as country positions on a legal topic, regulatory developments in a jurisdiction, court activity and government website changes. Where it fits best - Regulatory horizon scanning - Court and docket monitoring - Policy and public affairs tracking - Competitor and market legal activity What you get ### Signals we turn into intelligence Examples Country positions on a legal topic Regulatory developments in a jurisdiction Court activity and hearing dates Government website changes Commercials ### Pricing that fits the shape of the work The attorney who scopes your work shares pricing up front. These are the models that typically suit legal signal intelligence. Typical fit ##### Fixed fee Best for Defined projects, such as a CLM assessment or a contract clean-up. How it is billed One price for an agreed scope and outcome. ##### Unit rate with cap Best for Variable volume, such as document review or abstraction. How it is billed Per document or per contract, with a ceiling on total spend. Typical fit ##### Managed team Best for Ongoing work, such as platform operations or monitoring. How it is billed A monthly fee for a dedicated team, scaled up or down with notice. ##### Hybrid Best for Programmes that mix a project with steady run work. How it is billed A fixed fee to build, then a unit rate or team fee to run. Questions ### What clients ask us How are alerts delivered? In the way your team works: email alerts, a shared tracker, a dashboard or periodic reports. Is it fully automated? From our Insights ### Our thinking on legal signal intelligence All insights [Image: Legal technology evaluation radar] Technology 9 min read #### Evaluating Legal Technology: Beyond the Feature List A framework for assessing legal technology investments that accounts for integration complexity, change management, and long-term total cost of ownership. August 2026 Read Also in Legal Digital Transformation ### Related services View practice area [Image: Legal Tech Consulting] Choose and roll out the right tools #### Legal Tech Consulting Vendor-neutral assessment of your workflows, a technology roadmap built around them, and hands-on implementation and adoption support. [Image: GenAI Workflow Automation] GenAI built into how you work #### GenAI Workflow Automation We assess where GenAI adds real value against its risk, then build it into your existing legal workflows and platforms, connecting siloed tools and data into one automated flow with human checkpoints. [Image: Legal Managed Services] Technology, processes and people #### Legal Managed Services We run your legal platforms and processes day to day, take on one-off projects, and provide skilled people, from one specialist to a full embedded team, whenever you need capacity. ### See what is coming before it lands We monitor the regulatory, judicial and government sources that matter to you and turn them into validated trackers, alerts and dashboards. Start a Conversation --- # GenAI Workflow Automation | Legal Digital Transformation | ROSHWIN URL: https://roshwin.ai/services/legal-digital-transformation/genai-workflow-automation Summary: We assess where GenAI adds real value against its risk, then build it into your existing legal workflows and platforms, connecting siloed tools and data into one automated flow with human checkpoints. 04 / Legal Digital Transformation ## GenAI Workflow Automation GenAI built into how you work We assess where GenAI adds real value against its risk, then build it into your existing legal workflows and platforms, connecting siloed tools and data into one automated flow with human checkpoints. Value versus risk Built on your stack Human in the loop Discuss your matter How we deliver [Image: GenAI Workflow Automation] The challenge Legal data and tools do not talk to each other, so too much work stays manual. Value vs risk Every step scored before anything is automated Your stack GenAI built into the platforms you already use Connected Siloed tools and data joined into one flow Human Checkpoints wherever legal risk sits Our perspective ### How modern teams approach GenAI workflow automation Intake requests arrive by email, matter data lives in one system, contracts in another and reporting in spreadsheets. Attorneys bridge the gaps by hand. We start by mapping how work really flows today and scoring each step for GenAI potential: the efficiency and value it would unlock against the legal, data and accuracy risk it brings. You get a prioritised recommendation and a defined risk plan, not a list of experiments. We then integrate GenAI into the workflows and platforms you already use, so your team keeps working the way it works best while the hand-offs between siloed tools, inboxes and spreadsheets run automatically. Human checkpoints stay wherever legal judgement or risk sits, and we keep measuring and improving after go-live. #### Value versus risk assessment Each step scored for efficiency gain and value against legal, data and accuracy risk. #### Connect the silos Intake, matter, contract and reporting tools joined into one automated flow. #### GenAI where it fits Triage, drafting, summarising and extraction embedded in the steps you already run. #### Human checkpoints Attorney review built in wherever judgement or risk sits. How we deliver ### Go slow to go fast We prove the approach on a small sample with you first, then scale. Here is how the work flows, and where AI carries the load versus where our attorneys apply judgement. 41% AI-assisted Technology where it adds value An indicative view of how work is shared between AI and our attorneys at each stage. Judgement, protocol and sign-off always stay with people. AI Attorneys and specialists - 01 ##### Map the workflow 15% 85% Steps, hand-offs, systems, data and risk points mapped as they really run. - 02 ##### Score GenAI potential 25% 75% Each step rated for efficiency gain and value against risk, with a defined risk plan. - 03 ##### Integrate and connect 60% 40% GenAI embedded in your platforms and silos linked into one automated flow. - 04 ##### Measure and improve 65% 35% Time saved, quality and risk tracked, and the flow refined over time. What you receive A connected, GenAI-enabled workflow on your existing platforms, a clear value and risk case for every automated step, and measurable gains in speed and productivity. Where it fits best - Legal intake, triage and routing - First-draft document generation - Contract and matter summarisation - Matter, spend and reporting flows Value versus risk ### How we decide what GenAI should do Every candidate step is weighed on both sides before we recommend automating it. The value we measure Hours saved per matter Turnaround time Consistency and quality Volume and repeatability The risk we weigh Legal judgement required Data sensitivity and privacy Accuracy tolerance Auditability and defensibility Commercials ### Pricing that fits the shape of the work The attorney who scopes your work shares pricing up front. These are the models that typically suit genai workflow automation. Typical fit ##### Fixed fee Best for Defined projects, such as a CLM assessment or a contract clean-up. How it is billed One price for an agreed scope and outcome. ##### Unit rate with cap Best for Variable volume, such as document review or abstraction. How it is billed Per document or per contract, with a ceiling on total spend. ##### Managed team Best for Ongoing work, such as platform operations or monitoring. How it is billed A monthly fee for a dedicated team, scaled up or down with notice. Typical fit ##### Hybrid Best for Programmes that mix a project with steady run work. How it is billed A fixed fee to build, then a unit rate or team fee to run. Questions ### What clients ask us How do you decide what to automate? We score each step for the efficiency and value GenAI would bring against the legal, data and accuracy risk. Only steps with a clear net benefit and a defined, acceptable risk are recommended. Do we need to buy new tools? How do you manage GenAI risk? From our Insights ### Our thinking on GenAI workflow automation All insights [Image: The Roshwin Playbook Learning Loop] Contracts Management 8 min read #### Playbooks That Learn: Contract Review With Falling Escalation Rates How a contract review playbook turns every escalation into a decision made once, and why the best programs track how often they have to ask. November 2026 Read [Image: Change management and transformation success rates] Transformation 5 min read #### Modernizing Legal Departments Without Disruption A phased approach to digital transformation that respects operational continuity and brings teams along on the journey rather than imposing change. June 2026 Read [Image: The Human-AI Review Maturity Framework] Legal Operations 6 min read #### The Future of AI-Assisted Document Review in Legal Proceedings How human-in-the-loop AI is reshaping document review while maintaining the precision and defensibility that courts demand. The role of trained professionals alongside intelligent systems. April 2026 Read Also in Legal Digital Transformation ### Related services View practice area [Image: Legal Tech Consulting] Choose and roll out the right tools #### Legal Tech Consulting Vendor-neutral assessment of your workflows, a technology roadmap built around them, and hands-on implementation and adoption support. [Image: Legal Signal Intelligence] Monitored, structured, actionable #### Legal Signal Intelligence Regulatory, judicial and government sources monitored, with relevant signals extracted, human-validated and delivered as trackers, alerts and dashboards. [Image: Legal Managed Services] Technology, processes and people #### Legal Managed Services We run your legal platforms and processes day to day, take on one-off projects, and provide skilled people, from one specialist to a full embedded team, whenever you need capacity. ### Put GenAI to work where it counts We score where GenAI adds value against its risk, then build it into your existing workflows with clear human checkpoints and a defined risk plan. Start a Conversation --- # Legal Managed Services | Legal Digital Transformation | ROSHWIN URL: https://roshwin.ai/services/legal-digital-transformation/managed-services Summary: We run your legal platforms and processes day to day, take on one-off projects, and provide skilled people, from one specialist to a full embedded team, whenever you need capacity. 04 / Legal Digital Transformation ## Legal Managed Services Technology, processes and people We run your legal platforms and processes day to day, take on one-off projects, and provide skilled people, from one specialist to a full embedded team, whenever you need capacity. Platforms and processes Projects Flexible staffing Discuss your matter How we deliver [Image: Legal Managed Services] The challenge Legal teams need work done every day, but not always the headcount to do it. Run Legal platforms and processes operated for you Projects E-billing reviews, CLM migrations and more 1 to many From one specialist to a full embedded team Reported Service levels tracked and reported on cadence Our perspective ### How modern teams approach legal managed services Platforms and processes deliver value only when someone keeps them running: users onboarded, invoices reviewed, templates maintained, matters updated, data kept clean and reports produced. That work usually lands on attorneys or an overstretched legal ops team. We take that work on, whether it is administering a platform, operating a legal process end to end or delivering a one-off project such as an e-billing review or a CLM data migration. Every engagement runs under an attorney lead, with agreed service levels and regular reporting. And when you simply need capacity, we provide it: one trained specialist for a single process or exercise, or a dedicated team embedded with yours, drawn from our global talent pool and scaled up or down with your workload. #### Platform operations E-billing, CLM and matter management administration run on your behalf. #### Process operations Legal processes such as intake, invoice review or contract administration run end to end. #### One-off projects E-billing reviews, CLM data migrations and similar projects, delivered to a plan. #### Flexible staffing One specialist for one process, or a dedicated team embedded with yours. How we deliver ### Go slow to go fast We prove the approach on a small sample with you first, then scale. Here is how the work flows, and where AI carries the load versus where our attorneys apply judgement. 24% AI-assisted Technology where it adds value An indicative view of how work is shared between AI and our attorneys at each stage. Judgement, protocol and sign-off always stay with people. AI Attorneys and specialists - 01 ##### Scope 10% 90% Platforms, processes or roles defined, with service levels agreed. - 02 ##### Staff and onboard 10% 90% The right people selected and trained on your tools and ways of working. - 03 ##### Operate 35% 65% Day-to-day administration, processing and support. - 04 ##### Report and improve 40% 60% Service reporting on cadence, with improvements applied. What you receive Your platforms and processes run smoothly, capacity flexes with demand, and your attorneys stay focused on legal work. Where it fits best - E-billing administration and invoice review - CLM and matter management administration - A specialist for a single process - Embedded team extensions Flexible engagement ### Capacity the way you need it What we run Legal platforms Legal processes One-off projects Data clean-up and reporting How we staff it One dedicated specialist A managed team Embedded with your team Scaled on demand Commercials ### Pricing that fits the shape of the work The attorney who scopes your work shares pricing up front. These are the models that typically suit legal managed services. ##### Fixed fee Best for Defined projects, such as a CLM assessment or a contract clean-up. How it is billed One price for an agreed scope and outcome. ##### Unit rate with cap Best for Variable volume, such as document review or abstraction. How it is billed Per document or per contract, with a ceiling on total spend. Typical fit ##### Managed team Best for Ongoing work, such as platform operations or monitoring. How it is billed A monthly fee for a dedicated team, scaled up or down with notice. Typical fit ##### Hybrid Best for Programmes that mix a project with steady run work. How it is billed A fixed fee to build, then a unit rate or team fee to run. Questions ### What clients ask us Which platforms can you run? We are platform agnostic and support common e-billing, matter management and CLM platforms. Can you staff just one process? Can capacity flex? From our Insights ### Our thinking on legal managed services All insights [Image: The legal middle office model] Legal Operations 7 min read #### The Middle Office: Unlocking Hidden Capacity in Legal Teams How strategic middle-office support allows legal professionals to focus on high-value work while maintaining operational excellence in the background. August 2026 Read [Image: The pillars of ongoing CLM value] CLM 8 min read #### Beyond Implementation: Making CLM Deliver Ongoing Value Why contract lifecycle management success depends on operational commitment, not just technology selection. Lessons from organizations that moved beyond the initial deployment. July 2026 Read [Image: Change management and transformation success rates] Transformation 5 min read #### Modernizing Legal Departments Without Disruption A phased approach to digital transformation that respects operational continuity and brings teams along on the journey rather than imposing change. June 2026 Read Also in Legal Digital Transformation ### Related services View practice area [Image: Legal Tech Consulting] Choose and roll out the right tools #### Legal Tech Consulting Vendor-neutral assessment of your workflows, a technology roadmap built around them, and hands-on implementation and adoption support. [Image: Legal Signal Intelligence] Monitored, structured, actionable #### Legal Signal Intelligence Regulatory, judicial and government sources monitored, with relevant signals extracted, human-validated and delivered as trackers, alerts and dashboards. [Image: GenAI Workflow Automation] GenAI built into how you work #### GenAI Workflow Automation We assess where GenAI adds real value against its risk, then build it into your existing legal workflows and platforms, connecting siloed tools and data into one automated flow with human checkpoints. ### Scale your legal operations on demand Platforms, processes or people: from one specialist to an embedded global team, we provide the capacity you need, when you need it. Start a Conversation --- # Insights | ROSHWIN - Legal Operations & Technology Perspectives URL: https://roshwin.ai/insights Summary: Expert perspectives on legal operations, AI-assisted document review, contract lifecycle management, and digital transformation for corporate legal departments and law firms. Insights ## Perspectives on legal transformation Original research and practical frameworks on litigation, contracts, compliance, and legal technology, written by the team that delivers the work. 8 Articles 4 Practice areas covered [Image: The Roshwin Playbook Learning Loop] Latest Contracts Management ### Playbooks That Learn: Contract Review With Falling Escalation Rates How a contract review playbook turns every escalation into a decision made once, and why the best programs track how often they have to ask. Contracts Management Legal Digital Transformation November 2026 8 min read Read article ### More insights All topics 8 Litigation and Investigation 2 Contracts Management 5 Compliance Management 2 Legal Digital Transformation 6 [Image: The Roshwin Matter Pod model] Litigation & Investigation 8 min read #### Matter Pods: Why Specialized Review Teams Beat Generic Review Pools Why the team reviewing your documents should understand your case before it opens the first one, and how to build that into the workflow. October 2026 Read [Image: The contract intelligence maturity ladder] CLM 6 min read #### Contract Intelligence: From Data to Strategic Insight Transforming the contract repository from a static archive into a dynamic source of commercial intelligence and risk visibility. August 2026 Read [Image: Legal technology evaluation radar] Technology 9 min read #### Evaluating Legal Technology: Beyond the Feature List A framework for assessing legal technology investments that accounts for integration complexity, change management, and long-term total cost of ownership. August 2026 Read [Image: The legal middle office model] Legal Operations 7 min read #### The Middle Office: Unlocking Hidden Capacity in Legal Teams How strategic middle-office support allows legal professionals to focus on high-value work while maintaining operational excellence in the background. August 2026 Read [Image: The pillars of ongoing CLM value] CLM 8 min read #### Beyond Implementation: Making CLM Deliver Ongoing Value Why contract lifecycle management success depends on operational commitment, not just technology selection. Lessons from organizations that moved beyond the initial deployment. July 2026 Read [Image: Change management and transformation success rates] Transformation 5 min read #### Modernizing Legal Departments Without Disruption A phased approach to digital transformation that respects operational continuity and brings teams along on the journey rather than imposing change. June 2026 Read [Image: The Human-AI Review Maturity Framework] Legal Operations 6 min read #### The Future of AI-Assisted Document Review in Legal Proceedings How human-in-the-loop AI is reshaping document review while maintaining the precision and defensibility that courts demand. The role of trained professionals alongside intelligent systems. April 2026 Read --- # The Future of AI-Assisted Document Review in Legal Proceedings | ROSHWIN Insights URL: https://roshwin.ai/insights/ai-document-review Summary: A framework for evaluating where human judgment ends and machine assistance begins in document review, and why that line is now a matter of legal defensibility. Back to Insights Legal Operations ## The Future of AI-Assisted Document Review in Legal Proceedings A framework for evaluating where human judgment ends and machine assistance begins, and why that line is now a matter of legal defensibility, not just efficiency. Roshwin Private Limited April 2026 6 min read Document review has quietly become the most expensive line item in litigation and investigations. It is also the least defensible when done badly, whether by an untrained associate or an unsupervised model. For three decades, document review was the part of litigation everyone complained about and nobody questioned. Junior attorneys and contract reviewers worked through custodial files page by page. The pace and cost made large-scale discovery a budget line unto itself. That model is now obsolete. Not because reviewers got faster, but because the volume of discoverable data outgrew human throughput by an order of magnitude. Generative AI arrived just as the gap became unmanageable. The conversation legal teams need to have in 2026 is no longer whether to use AI in document review. Adoption has already crossed that threshold. The real question is where human judgment sits in the workflow, how that placement is documented, and whether it will hold up when a court, a regulator, or opposing counsel asks the team to defend it. This piece sets out what the data shows, what courts have actually required, and a framework we use at Roshwin to help legal teams answer that question with precision rather than guesswork. ### The Scale Problem Discoverable data has grown faster than any review model built around human throughput could absorb. Global data volumes are on a trajectory from roughly 181 zettabytes in 2025 toward more than 800 zettabytes by 2030. That is a compounding rate that dwarfs the growth of legal budgets or headcount over the same period. The eDiscovery market has responded by compounding at close to 10% annually for over a decade, absorbing that pressure mostly through technology rather than proportional increases in reviewer hours. [Image: Worldwide eDiscovery Market Trajectory 2023-2030 (USD billions)] Figure 1: Worldwide eDiscovery market trajectory, 2023 to 2030 (USD billions) The trend line hides a more important shift underneath it. Per-unit review cost is compressing even as total spend rises, because AI-assisted review is absorbing a growing share of the underlying document volume. That is the real story for corporate legal departments and law firms alike. The market is not simply getting bigger. It is getting more efficient per document. Organizations that have not restructured their review workflows around that fact are paying a legacy tax on every matter. ### What Courts Actually Require Much of the anxiety around AI in document review comes from a misunderstanding of what courts have actually asked for. The foundational precedent remains Magistrate Judge Andrew Peck's 2012 opinion in Da Silva Moore v. Publicis Groupe . That case approved the use of technology-assisted review on the basis that it was, in his words, at least as accurate as, and considerably more efficient than, exhaustive manual review. Peck's opinion did not turn on the sophistication of the algorithm. It turned on transparency. The producing party had disclosed its methodology, allowed opposing counsel visibility into the training process, and could explain how the tool reached its classifications. That standard — a defensible process over impressive technology — has held for over a decade and is now being extended explicitly to generative AI. The U.S. Judicial Conference's proposed Federal Rule of Evidence 707, out for public comment into 2026, would formally govern the admissibility of AI-generated evidence. It would require proponents to address reliability, methodology, and the basis for any AI-assisted conclusion before it is relied upon. Separately, courts are increasingly treating outputs from AI tools used during a matter as discoverable, ordinary electronically stored information. That means how a legal team used AI during review is itself becoming a fact pattern opposing counsel may probe. The lesson from over a decade of TAR case law is consistent. Courts do not require perfect technology. They require a process a legal team can explain, defend, and reproduce. For legal operations leaders, this reframes the AI adoption question. The relevant diligence question is not "which vendor has the best model" but "can we reconstruct and defend exactly how a document was classified, six months after the fact, in front of a judge who has never used the tool." Teams that treat AI-assisted review as a documented, auditable process — with sampling rates, validation protocols, and human override records — are building the same defensibility that made TAR judicially acceptable in the first place. Teams that treat it as a black-box efficiency layer are building risk instead. ### The Efficiency Case, With Evidence The efficiency argument for AI-assisted review is no longer speculative. Across reported operational benchmarks in 2026, the gains cluster in a consistent range regardless of which stage of the review workflow is measured. [Image: Where AI-Assisted Review Moves the Needle - Reported operational efficiency gains by workflow stage] Figure 2: Reported operational efficiency gains from AI-assisted review, by workflow stage Two figures are worth sitting with. First, generative AI-assisted review is now commercially priced on a per-document basis in a $0.11 to $0.50 range, according to the eDiscovery industry's most recent independent pricing survey. That figure competes directly and transparently with the fully loaded cost of first-pass human review at scale. Second, cross-border investigations — historically the most expensive and slowest category of review because of multilingual custodial data and jurisdiction-specific privilege rules — are seeing AI-assisted workload reductions approaching 36%. That is precisely where the cost of delay is highest. These numbers explain the adoption curve, but they should not be read as a case for unsupervised automation. Every one of these efficiency studies measures AI-assisted review, not AI-only review. The efficiency gain is a function of how well human expertise is deployed against the 5–15% of documents that genuinely require judgment, not a function of removing human judgment from the workflow. ### Introducing the Human-AI Review Maturity Framework Most legal teams cannot answer a simple question with precision: which review methodology are we actually using, and how far along the maturity curve does it sit? "We use AI" is not an answer a court, a general counsel, or a client audit will accept. At Roshwin, we assess review workflows against a five-level maturity model, built from what we have seen distinguish defensible AI-assisted programs from exposed ones across managed review engagements. [Image: The Human-AI Review Maturity Framework - Five levels from Manual to Adaptive Oversight] Figure 3: The Roshwin Human-AI Review Maturity Framework Level 1: Manual Keyword Review. Boolean search terms narrow the population, and every resulting document is reviewed by a human. This is defensible but economically unsustainable above a few hundred thousand documents. It is also the weakest at catching conceptually relevant material that does not match the search terms. Level 2: First-Generation TAR / Predictive Coding. A static model is trained once on a seed set and applied to the remaining population, with review confined largely to model output. This approach is efficient and judicially well-established since Da Silva Moore , but it can be brittle when case theory evolves mid-review. Level 3: Continuous Active Learning (CAL). The model retrains continuously as reviewers code documents, re-ranking the remaining population in real time. This is the current baseline for defensible large-scale review and the floor most sophisticated litigation teams now expect. Level 4: Human-in-the-Loop GenAI Review. Large language models perform first-pass classification, summarization, and privilege flagging. Human reviewers validate a statistical sample and review anything the model flags as uncertain, privileged, or sensitive. This is where most well-run programs sit today, and it is where the cost and accuracy data above is actually measured. Level 5: Adaptive Oversight (Defensible Autonomy). Human reviewers shift from document-level review to system-level oversight. They audit model drift, sample accuracy over time, and maintain the documentation trail that would satisfy a Rule 707 inquiry, while the model handles a much larger share of first-pass classification. Few programs operate here consistently yet. It is where the discipline is heading. The framework is deliberately not a technology ladder. A team can own the most advanced GenAI platform on the market and still operate at Level 2 in practice, if it cannot document how documents move through the model or reconstruct a reviewer's override decision. Maturity, in this model, is a function of process discipline and documentation, not licensing spend. ### Where This Is Headed Three developments will shape the next two years of this discipline. First, evidentiary rules are catching up to practice. With Rule 707 moving through the federal comment process, and state-level analogues emerging in California and Louisiana, disclosure obligations around AI-assisted work product will tighten, not loosen. Second, pricing models are still unsettled. The same 2026 pricing survey that found the $0.11 to $0.50 per-document range also found no market consensus on how exception handling, quality control failures, or reprocessing costs should be allocated in GenAI-assisted contracts. That means legal teams negotiating these engagements today are setting precedent for their own future matters. Third, and least discussed, the skill profile of a document reviewer is shifting from document-level judgment to system-level oversight. Most legal teams have not yet reflected that shift in how they train, staff, or evaluate review talent. ### What This Means for Legal and Compliance Leaders Audit your current review workflow against the five-level framework honestly. The answer is rarely where procurement documentation says it is. Treat sampling rates, validation protocols, and override logs as the actual work product of an AI-assisted review program — not an afterthought to the technology license. Build disclosure-readiness now. A Rule 707-style inquiry should be answerable from existing documentation, not reconstructed under deadline pressure. Evaluate review talent and vendors on system-level oversight capability, not just per-document throughput. That is the skill the next stage of the maturity curve actually demands. ### Conclusion The organizations getting this right are not the ones with the most advanced models. They are the ones that can explain, to a skeptical judge or a nervous general counsel, exactly how a document moved from custodial collection to a privilege call, and why a human being made the decisions that mattered. That is the standard courts set in 2012, and it is the standard they are formalizing now. Roshwin's managed review practice is built around exactly that discipline. AI does the first pass at scale, and trained legal professionals own the judgment calls that a court will eventually ask someone to defend. Put this into practice ### Related ROSHWIN services Litigation and Investigation Litigation Document Review Explore Legal Digital Transformation GenAI Workflow Automation Explore Litigation and Investigation Bibliographic Coding Explore About ROSHWIN ### Legal operations, managed legal services and AI-enabled transformation, led by attorneys ROSHWIN Private Limited works as an extension of corporate legal departments and law firms. Our attorney-led teams combine subject knowledge with responsible use of AI, so the work is fast, consistent and defensible, with pricing agreed up front. Litigation and Investigation Specialist review and fact-finding for disputes, investigations and regulatory matters. Contracts Management From choosing the right platform to extracting data and negotiating on your behalf. Compliance Management Repeatable, deadline-driven compliance work, executed with discipline. Legal Digital Transformation Technology consulting, signal intelligence and GenAI automation for modern legal teams. Serving clients across the globe, including the United States, Canada, the United Kingdom and Europe, and the Middle East. Start a conversation Explore our services ### Continue reading All insights [Image: The Roshwin Matter Pod model] Litigation & Investigation 8 min read #### Matter Pods: Why Specialized Review Teams Beat Generic Review Pools Why the team reviewing your documents should understand your case before it opens the first one, and how to build that into the workflow. October 2026 Read [Image: Change management and transformation success rates] Transformation 5 min read #### Modernizing Legal Departments Without Disruption A phased approach to digital transformation that respects operational continuity and brings teams along on the journey rather than imposing change. June 2026 Read --- # Modernizing Legal Departments Without Disruption | ROSHWIN Insights URL: https://roshwin.ai/insights/modernizing-legal-departments Summary: A phased approach to digital transformation that respects operational continuity and brings teams along, rather than imposing change on them. Back to Insights Transformation ## Modernizing Legal Departments Without Disruption A phased approach to digital transformation that respects operational continuity and brings teams along, rather than imposing change on them. Roshwin Private Limited June 2026 5 min read A legal department cannot pause active matters while it rebuilds its own systems. Every modernization plan has to work around that constraint, not despite it. Most digital transformation initiatives fail, and legal departments are not an exception to that pattern. Research from McKinsey has found that around 70 percent of transformation programs do not reach their targets, and the recurring cause is not the technology itself. It is insufficient change management. For a legal department, this failure mode carries a sharper edge than it does elsewhere in the business. A marketing team can pause a campaign to fix a broken workflow. A legal department cannot pause litigation, freeze contract execution, or tell a regulator that compliance monitoring is temporarily offline while the new system beds in. That constraint is exactly why so many legal technology rollouts either stall halfway through or get pushed through in a way that damages trust with the very attorneys who were supposed to benefit from them. The fix is not a better vendor. It is a sequencing discipline that most transformation plans skip entirely. ### Why the Standard Playbook Breaks in Legal Change management research is unambiguous about what separates successful transformations from failed ones, and the gap is larger than most executives expect. [Image: Change Management Is the Real Predictor of Success - 88% of projects with excellent change management meet objectives vs 13% with poor change management] Figure 1: Share of transformation projects meeting or exceeding objectives, by quality of change management Projects with excellent change management meet or exceed their objectives 88 percent of the time. Projects with poor change management succeed only 13 percent of the time. That gap holds across industries, but it is more punishing in legal departments specifically, because the people being asked to change their workflow are the same people responsible for managing the organization's legal risk. An attorney who does not trust a new system will not stop doing the work. They will simply do it twice, once in the new system to satisfy the mandate, and once the old way to make sure nothing falls through. A rollout that attorneys do not trust does not get abandoned. It gets duplicated, quietly, at twice the cost and none of the benefit. ### The Legal-Specific Complication There is a second factor that makes legal transformation harder than transformation elsewhere in the business, and it is rarely named directly. A meaningful share of legal department work is genuinely becoming automatable, but the share that is not automatable requires exactly the kind of judgment that erodes fastest under a disruptive, poorly sequenced rollout. [Image: Share of In-House Legal Work Expected to Be Automated - 20% already automated, up to 40% automatable, remainder requires human legal judgment] Figure 2: Estimated share of in-house legal work expected to be automated Research from KPMG Law puts the automatable share of legal department work in the range of 20 to 40 percent over the coming years, and the composition of legal teams is already shifting to reflect that. As recently as 2024, roughly 85 percent of legal department headcount consisted of fully qualified attorneys. That proportion is falling as departments bring in process specialists and legal technologists alongside traditional legal hires. This is a real and permanent shift, not a temporary disruption. But it only works if the automation is introduced in a way that lets attorneys keep doing the 60 to 80 percent of the work that still requires their judgment, without interruption, while the automatable share is carved off carefully. ### The Roshwin Phased Modernization Roadmap At Roshwin, we sequence legal technology rollouts around a four-phase model built specifically around the constraint that legal departments cannot stop operating while they modernize. Phase 1: Stabilize. Before any system changes, map the current workflow end to end, including the informal steps nobody wrote down. This phase touches no active matter and changes nothing. Its only output is an honest picture of how work actually happens today. Phase 2: Pilot. Run the new process alongside the old one, on a single team or a single matter type. The old process stays available as a fallback for the entire pilot. Nobody is forced to trust the new system before it has earned that trust. Phase 3: Scale. Extend the proven workflow team by team, using the attorneys who succeeded in the pilot as internal champions. Peer credibility moves adoption faster than any mandate from legal operations or IT. Phase 4: Institutionalize. Retire the legacy process only once the new one has become the default choice, is fully documented, and is owned by someone other than the person who built it. A transformation that depends on one champion staying in the role forever is not finished. The sequence is deliberately slower than most vendors recommend. That is the point. A rollout measured in quarters, that attorneys actually trust and use, delivers more value than a rollout measured in weeks that gets quietly abandoned six months later. ### What This Means for General Counsel and Legal Operations Leaders Budget change management as its own line item, not as a rounding error inside the technology license. The research suggests it is the single biggest determinant of whether the investment pays off. Resist any vendor timeline that skips a genuine pilot phase with a working fallback. A pilot without a fallback is not a pilot. It is a forced migration with extra steps. Identify pilot champions before the pilot begins, not after. Peer credibility is what moves the scale phase, and it cannot be manufactured after the fact. Treat the automatable and non-automatable portions of legal work as separate workstreams with separate change plans, rather than a single undifferentiated rollout. ### Conclusion Legal departments do not fail at modernization because they picked the wrong software. They fail because the rollout was sequenced as if the department could pause its core work while the system changed underneath it. It cannot. Roshwin's transformation advisory practice is built around that single constraint: sequencing change so the department keeps functioning throughout, and so the attorneys who have to live with the new system trust it enough to actually use it. Put this into practice ### Related ROSHWIN services Legal Digital Transformation Legal Tech Consulting Explore Legal Digital Transformation GenAI Workflow Automation Explore Legal Digital Transformation Legal Managed Services Explore About ROSHWIN ### Legal operations, managed legal services and AI-enabled transformation, led by attorneys ROSHWIN Private Limited works as an extension of corporate legal departments and law firms. Our attorney-led teams combine subject knowledge with responsible use of AI, so the work is fast, consistent and defensible, with pricing agreed up front. Litigation and Investigation Specialist review and fact-finding for disputes, investigations and regulatory matters. Contracts Management From choosing the right platform to extracting data and negotiating on your behalf. Compliance Management Repeatable, deadline-driven compliance work, executed with discipline. Legal Digital Transformation Technology consulting, signal intelligence and GenAI automation for modern legal teams. Serving clients across the globe, including the United States, Canada, the United Kingdom and Europe, and the Middle East. Start a conversation Explore our services ### Continue reading All insights [Image: Legal technology evaluation radar] Technology 9 min read #### Evaluating Legal Technology: Beyond the Feature List A framework for assessing legal technology investments that accounts for integration complexity, change management, and long-term total cost of ownership. August 2026 Read [Image: The Roshwin Playbook Learning Loop] Contracts Management 8 min read #### Playbooks That Learn: Contract Review With Falling Escalation Rates How a contract review playbook turns every escalation into a decision made once, and why the best programs track how often they have to ask. November 2026 Read --- # Beyond Implementation: Making CLM Deliver Ongoing Value | ROSHWIN Insights URL: https://roshwin.ai/insights/clm-ongoing-value Summary: Why contract lifecycle management success depends on operational commitment, not just technology selection. A framework for post-implementation CLM governance. Back to Insights CLM ## Beyond Implementation: Making CLM Deliver Ongoing Value Why contract lifecycle management success depends on operational commitment, not just technology selection. Roshwin Private Limited July 2026 8 min read Most companies do not have a CLM adoption problem. They have a CLM ownership problem, and it starts the day the implementation team packs up and leaves. Contract lifecycle management has crossed a real threshold. The majority of legal departments now run some form of CLM software, and most of that adoption has happened in just the last five years. That is a genuine shift. Ten years ago, CLM was a tool enterprise legal departments debated buying. Today it is closer to a baseline expectation, and mid-market companies are adopting it faster every year as platforms designed for smaller teams remove the friction that used to keep this technology out of reach. But adoption is not the same thing as value. A growing body of research points to an uncomfortable gap between the two, and it is a gap most legal operations leaders have not been trained to close, because implementation was always treated as the finish line rather than the starting point. ### Where the Money Is Actually Going The global CLM software market is on a steady growth path, moving from roughly 1.8 billion dollars in 2026 toward an estimated 5.4 billion dollars by 2036. That growth is not being driven by first-time buyers alone. A large and growing share of it is replacement spend: companies that bought a CLM platform once, watched it underdeliver, and are now paying again for a system they hope will actually stick. [Image: Global CLM Software Market Size 2026-2036 (USD billions)] Figure 1: Global CLM software market size, 2026 to 2036 That replacement cycle is expensive in ways that rarely show up on the original business case. It is not just the cost of a second license. It is the lost years of contract data that never made it into either system cleanly, the internal credibility a legal operations team spends and does not get back, and the default reversion to email threads and shared drives that happens every time a rollout stalls. ### The Expectation Gap Here is the number that should reframe how every legal operations leader thinks about a CLM investment. According to Gartner, nearly half of CLM implementations fall short of the expectations that justified buying them in the first place. [Image: Share of CLM implementations meeting versus falling short of expectations] Figure 2: Share of CLM implementations meeting versus falling short of expectations That is not a technology failure rate. Most CLM platforms on the market today are genuinely capable systems. The research on why implementations fall short points somewhere else entirely: overcustomization that makes the platform fragile and expensive to maintain, poor user adoption because the system does not fit how people actually work, and a basic misalignment between the team that selected the platform and the team that has to live inside it every day. A platform that users quietly abandon delivers zero return on investment, no matter how sophisticated its feature list looked in the sales demo. This is the part that gets missed in most CLM business cases. The purchase decision and the value decision are made by different people, at different times, under different pressures. Procurement and legal leadership evaluate the platform. Line attorneys, sales operations, and procurement staff have to actually use it, months later, after the people who ran the evaluation have moved on to the next project. ### The Real Cost of Standing Still The financial case for closing this gap is not abstract. Research from World Commerce and Contracting and Deloitte converges on a consistent finding: the average organization loses around 9 percent of its annual contract value to poor contract management, through missed obligations, pricing inconsistencies, uncaptured renewals, and compliance failures that surface too late to fix. [Image: Annual revenue lost to contract mismanagement, by governance maturity] Figure 3: Annual revenue lost to contract mismanagement, by governance maturity The gap between the best and worst performers is not small. Top performers hold that leakage to around 3 percent through disciplined governance. Organizations with the weakest contract oversight lose closer to 17 or 18 percent, and in the most severe cases, poor governance has been shown to erode as much as 40 percent of a contract's total value over its lifetime. A separate finding worth sitting with: 71 percent of businesses cannot locate at least one in every ten of their own contracts. A CLM platform is supposed to solve exactly that problem. Buying one does not solve it. Running it well does. ### The Four Pillars of Post-Implementation Governance At Roshwin, when we assess why a CLM program is or is not delivering value, we look past the platform entirely and evaluate the governance model sitting underneath it. Four things consistently separate programs that keep delivering value from programs that quietly stall within a year of go-live. [Image: The Roshwin Four Pillars of Post-Implementation Governance] Figure 4: The Roshwin Four Pillars of Post-Implementation Governance Pillar 1: Adoption Ownership. Someone outside IT, usually a legal operations lead, is personally accountable for usage rates across every department that touches contracts, not just the legal team. Pillar 2: Data Integrity. Clause taxonomy and contract metadata are audited on a fixed recurring schedule. Data quality is treated as ongoing maintenance, not a one-time migration task that ends when the platform goes live. Pillar 3: Workflow Governance. Approval workflows are revisited as the business changes. Org charts shift, approval thresholds move, and new contract types appear. A workflow frozen at its launch-day configuration becomes a source of friction within a year. Pillar 4: Value Measurement. Cycle time, leakage, and renewal capture are tracked on a recurring cadence, and that data is fed back into how the platform is configured. Without this feedback loop, nobody notices the program has stalled until the contract before renewal date is already gone. None of these four pillars require new software. They require an operating rhythm that most organizations never establish, because the implementation project plan usually ends at go-live and nobody owns what happens after. ### What This Means for Legal Operations Leaders Name a business owner for CLM adoption before implementation starts, not after usage rates disappoint someone in a quarterly review. Build a data integrity audit into the calendar on a fixed cadence, the same way you would schedule any other compliance review. Revisit workflow configuration at least twice a year. Treat the launch-day setup as a first draft, not a finished product. Track leakage and renewal capture as standing metrics, and report them the same way you would report any other budget line with real financial consequences. ### Conclusion The organizations getting real value from contract lifecycle management are not the ones with the most advanced platform. They are the ones that treated go-live as the beginning of the work rather than the end of it. Roshwin's CLM advisory practice is built around exactly that discipline: helping legal teams build the governance model that keeps a platform delivering value years after the implementation team has moved on, instead of watching it quietly turn back into an expensive filing cabinet. Put this into practice ### Related ROSHWIN services Contracts Management CLM Implementation Explore Contracts Management CLM Consultation Explore Legal Digital Transformation Legal Managed Services Explore About ROSHWIN ### Legal operations, managed legal services and AI-enabled transformation, led by attorneys ROSHWIN Private Limited works as an extension of corporate legal departments and law firms. Our attorney-led teams combine subject knowledge with responsible use of AI, so the work is fast, consistent and defensible, with pricing agreed up front. Litigation and Investigation Specialist review and fact-finding for disputes, investigations and regulatory matters. Contracts Management From choosing the right platform to extracting data and negotiating on your behalf. Compliance Management Repeatable, deadline-driven compliance work, executed with discipline. Legal Digital Transformation Technology consulting, signal intelligence and GenAI automation for modern legal teams. Serving clients across the globe, including the United States, Canada, the United Kingdom and Europe, and the Middle East. Start a conversation Explore our services ### Continue reading All insights [Image: The Roshwin Playbook Learning Loop] Contracts Management 8 min read #### Playbooks That Learn: Contract Review With Falling Escalation Rates How a contract review playbook turns every escalation into a decision made once, and why the best programs track how often they have to ask. November 2026 Read [Image: Legal technology evaluation radar] Technology 9 min read #### Evaluating Legal Technology: Beyond the Feature List A framework for assessing legal technology investments that accounts for integration complexity, change management, and long-term total cost of ownership. August 2026 Read --- # The Middle Office: Unlocking Hidden Capacity in Legal Teams | ROSHWIN Insights URL: https://roshwin.ai/insights/middle-office Summary: How strategic middle-office support allows legal professionals to focus on high-value work. A framework for building a deliberate support layer in legal departments using the Roshwin Middle Office Model. Back to Insights Legal Operations ## The Middle Office: Unlocking Hidden Capacity in Legal Teams How strategic middle-office support allows legal professionals to focus on high-value work while maintaining operational excellence in the background. Roshwin Private Limited August 2026 7 min read The capacity most legal departments are short of is not headcount. It is the hours their existing attorneys already have, buried under work that never required a law degree in the first place. Every general counsel has heard the same request during budget season. The team needs more headcount, because the current attorneys are stretched too thin to take on new strategic work. It is a reasonable request on its face, and it is also, in a large share of legal departments, the wrong diagnosis. The actual constraint is rarely the number of attorneys. It is how much of each attorney's week survives contact with administrative work before any legal judgment gets applied at all. This is the case for building what we call a middle office : a deliberate layer of specialized, non-attorney support that sits between strategic legal work and pure back-office processing. Done well, it does not shrink the legal team's footprint. It multiplies the capacity of the attorneys already on it. ### Where the Week Actually Goes The scale of the problem is larger than most legal leaders assume until they see it laid out. Bloomberg Law's 2024 Attorney Workload and Hours Survey, drawing on responses from over a thousand legal professionals, found that attorneys work an average of 48 hours a week, but only 36 of those hours are billable, judgment-based legal work. The remaining quarter of the week goes to administrative duties: tracking time, managing projects, and coordinating workflow that has nothing to do with legal training. [Image: Donut chart showing that 75% of an attorney's 48-hour work week goes to core legal work and 25% to administrative tasks] Figure 1: Share of an attorney's work week spent on core legal work versus administrative tasks. Other surveys put the administrative burden even higher, with estimates ranging as far as 48 percent of a legal professional's time in some studies, and separate research finding that 77 percent of small law firms report spending too much time on administrative tasks at the expense of practicing law. The exact number moves depending on who is measured and how, but every credible study lands in the same place: a meaningful fraction of an attorney's week, paid for at an attorney's cost, is spent on work that does not require a law degree. Hiring another attorney to fix a capacity problem caused by administrative overload is like hiring another surgeon to fix a scheduling problem in the operating room. ### The Market Has Already Noticed Legal departments have started responding to this gap, and the response shows up clearly in how the alternative legal services market has grown. Alternative legal service providers (ALSPs), the category of firms and platforms built specifically to absorb specialized legal support work outside the traditional law firm model, represented a $31.5 billion global market in 2025 and are projected to reach $87.4 billion by 2034. [Image: Bar chart showing global ALSP market growth from $31.5 billion in 2025 to a projected $87.4 billion by 2034] Figure 2: Global alternative legal service provider market size, 2025 to 2034. That growth is not being driven by cost-cutting alone, although cost is part of it. It reflects a structural recognition that a meaningful share of legal department work — from contract administration to compliance monitoring to e-billing review — is better handled by a specialized support layer than by an expensive attorney's hour or an overstretched paralegal doing it as an afterthought. [Image: Statistic showing 57% of corporate legal departments now use ALSPs for routine, high-volume work] Figure 3: Share of corporate legal departments now using ALSPs for routine, high-volume work. More than half of corporate legal departments now rely on alternative legal service providers for exactly this kind of routine, high-volume work. Delegating it is no longer the exception. It has become the majority practice among legal departments that have figured out where their real capacity constraint sits. ### The Roshwin Middle Office Model The mistake most legal departments make is treating this as a binary choice between doing everything in-house with attorneys, or outsourcing broadly and hoping quality holds. Neither extreme works well. What we use with clients instead is a three-tier model that draws a sharp line around what actually requires a licensed attorney's judgment, and treats everything else as a distinct operational layer with its own staffing and management logic. [Image: Diagram of the Roshwin Middle Office Model showing Front Office (strategic legal judgment), Middle Office (specialized legal support), and Back Office (transactional processing)] Figure 4: The Roshwin Middle Office Model — three tiers of legal department operations. Front Office: Strategic Legal Judgment. Deal strategy, litigation judgment, regulatory risk calls, and board-level advice. This work requires a licensed attorney's judgment and legal training, and should never be delegated regardless of cost pressure. Middle Office: Specialized Legal Support. Contract administration, compliance monitoring, matter intake, vendor and outside counsel management, and e-billing review. This work requires legal fluency — someone who understands legal workflows and terminology — but does not require a law degree. Back Office: Transactional Processing. Data entry, document filing, calendaring, and routine correspondence. This work requires process discipline and attention to detail, not legal training of any kind, and is the easiest to standardize or automate. The value of drawing these lines explicitly is that it turns a vague sense of being overwhelmed into a staffing decision. Most legal departments already have people doing middle-office and back-office work. The problem is that those people are usually the department's attorneys, doing it themselves because nobody ever built the layer that should be doing it instead. ### A Middle Office Diagnostic Before building or buying middle-office support, it is worth answering a short set of questions honestly. We use a version of this with clients as a starting diagnostic. Question | If Yes | Do your attorneys regularly do their own contract data entry, filing, or calendaring? | Back-office gap | Is compliance monitoring tracked manually by whoever has time, rather than owned by a dedicated role? | Middle-office gap | Do outside counsel invoices get reviewed by a partner-level attorney rather than a dedicated e-billing function? | Middle-office gap | Would your most senior attorney struggle to name what percentage of their week is spent on non-legal tasks? | Visibility gap | Has headcount been the default answer to capacity problems for the last two budget cycles? | Diagnosis gap | A department answering yes to two or more of these is very likely sitting on hidden capacity that a middle-office layer — not another attorney — would unlock. ### What This Means for General Counsel and Legal Operations Leaders - Before requesting headcount , map how the current team's hours actually break down across front, middle, and back-office work. The data usually changes the request. - Build or buy the middle-office layer deliberately , with its own management structure, rather than letting it accumulate informally on whichever attorney has the least pushback capacity. - Treat ALSP and managed-service relationships as a staffing strategy on par with headcount planning, not a stopgap measure used only under budget pressure. - Re-run the diagnostic annually. The line between middle-office and back-office work shifts as automation absorbs more of the purely transactional layer. ### Conclusion The legal departments getting the most out of their teams are not the ones with the most attorneys. They are the ones that built a deliberate layer of support underneath their attorneys, so that legal judgment gets spent on legal judgment. Roshwin's legal operations practice is built around exactly that model: helping legal departments find the capacity that is already on their team, before they go looking for capacity that has to be hired from outside. Put this into practice ### Related ROSHWIN services Legal Digital Transformation Legal Managed Services Explore Contracts Management Contract Review Explore Compliance Management KYC Explore About ROSHWIN ### Legal operations, managed legal services and AI-enabled transformation, led by attorneys ROSHWIN Private Limited works as an extension of corporate legal departments and law firms. Our attorney-led teams combine subject knowledge with responsible use of AI, so the work is fast, consistent and defensible, with pricing agreed up front. Litigation and Investigation Specialist review and fact-finding for disputes, investigations and regulatory matters. Contracts Management From choosing the right platform to extracting data and negotiating on your behalf. Compliance Management Repeatable, deadline-driven compliance work, executed with discipline. Legal Digital Transformation Technology consulting, signal intelligence and GenAI automation for modern legal teams. Serving clients across the globe, including the United States, Canada, the United Kingdom and Europe, and the Middle East. Start a conversation Explore our services ### Continue reading All insights [Image: The Roshwin Playbook Learning Loop] Contracts Management 8 min read #### Playbooks That Learn: Contract Review With Falling Escalation Rates How a contract review playbook turns every escalation into a decision made once, and why the best programs track how often they have to ask. November 2026 Read [Image: The contract intelligence maturity ladder] CLM 6 min read #### Contract Intelligence: From Data to Strategic Insight Transforming the contract repository from a static archive into a dynamic source of commercial intelligence and risk visibility. August 2026 Read --- # Evaluating Legal Technology: Beyond the Feature List | ROSHWIN Insights URL: https://roshwin.ai/insights/evaluating-legal-technology Summary: A framework for assessing legal technology investments that accounts for integration complexity, change management, and long-term total cost of ownership. Includes the Roshwin Total Value Assessment. Back to Insights Technology ## Evaluating Legal Technology: Beyond the Feature List A framework for assessing legal technology investments that accounts for integration complexity, change management, and long-term total cost of ownership. Roshwin Private Limited August 2026 9 min read A demo is a controlled environment built to hide exactly the things that will hurt you eighteen months into a live deployment. Legal technology buying has become a genuinely difficult discipline, and it is getting harder, not easier, even as the tools themselves improve. Gartner's most recent B2B technology buying survey found that 60 percent of buyers involved in renewal decisions regret nearly every purchase they make, up from 54 percent just three years earlier. That number is not about bad vendors. It is about a buying process, still common across legal departments, that evaluates the wrong things in the wrong order. [Image: Bar chart showing technology buyer regret rising from 54% in 2020 to 60% in 2023] Figure 1: Share of technology buyers who regret nearly every purchase they make, 2020 versus 2023. The legal technology market is large enough now that this mistake is expensive at scale. Global spend is projected to grow from roughly $28.7 billion in 2025 to $69.7 billion by 2033, and every legal department buying into that market is making a bet that the tool they select today will still be worth using three renewal cycles from now. [Image: Bar chart showing global legal technology market growing from $28.7 billion in 2025 to $69.7 billion by 2033] Figure 2: Global legal technology market size, 2025 to 2033. ### Why the Feature List Is the Wrong Starting Point Every legal technology demo is, by design, a highlight reel. Vendors show the workflow that works, on data that has been cleaned in advance, in an environment with none of the integration friction, permission structures, or legacy data quality problems that exist inside a real legal department. This is not dishonest. It is simply what a sales demo is for. The problem is that most buying committees treat the demo as representative evidence rather than as marketing, and build their evaluation criteria entirely around what the demo showed them. A feature list answers the question of what a tool can theoretically do. It says almost nothing about what actually determines whether that tool delivers value inside a specific legal department: how hard it is to integrate with the systems already in place, how much change management the rollout will require, what the true multi-year cost looks like once implementation, training, and support are included, and whether the vendor will still be a viable, well-governed partner three years into the contract. ### Where Legal Technology Spend Actually Concentrates Understanding where the market itself concentrates spend is a useful gut check before any individual buying decision. Legal research and data products still command the largest share of legal technology spend, at roughly 30 percent, largely because these are mature, sticky subscriptions that are hard to displace once embedded in daily workflow. Contract management and contract AI tools represent about 18 percent of spend today and are the fastest-growing category, while eDiscovery holds a stable 16 percent share driven by high-stakes litigation matters. [Image: Pie chart showing legal technology spend by category: Legal Research 30%, Contract Management 18%, eDiscovery 16%, and other categories] Figure 3: Share of global legal technology spend by category, 2026. The pattern worth noticing is that the largest and stickiest categories are not necessarily the ones with the flashiest feature sets. They are the categories that became embedded in daily workflow and proved durable over multiple renewal cycles. That durability is exactly what a feature-list evaluation fails to test for, and exactly what a total value evaluation is built to surface. ### The Roshwin Total Value Assessment At Roshwin, we evaluate legal technology purchases across five dimensions, weighted deliberately differently from how most buying committees naturally weight them. The gap between the two weightings is the gap between a purchase decision that ages well and one that becomes a source of regret by the second renewal. [Image: Radar chart comparing typical evaluation weightings versus the Roshwin Total Value Assessment across five dimensions: Feature Breadth, Integration Complexity, Change Management, Total Cost of Ownership, and Vendor Governance] Figure 4: What typical evaluations weigh versus what the Roshwin Total Value Assessment weighs. Feature Breadth : still matters, just less than it feels like it should. A tool needs to do the job in front of it. But feature breadth is the dimension every vendor is already optimizing for, which means it is the dimension least likely to differentiate a good long-term choice from a bad one at the point of sale. Integration Complexity : the most underweighted dimension in most evaluations. How much custom engineering does this tool need to talk to the systems already in place? A tool that requires heavy custom integration work carries hidden cost and hidden failure risk that never appears in a demo. Change Management Fit : whether the people who have to use it will actually use it. Does this tool fit how the team already works, or does it require the team to fundamentally change their workflow to accommodate the software? The second path requires a change management investment that rarely appears in the initial business case. Total Cost of Ownership : the real multi-year number, not the license quote. The license fee is frequently a fraction of the true cost once implementation services, ongoing training, data migration, and support tiers are included. A tool that looks cheaper on the license line can be materially more expensive over a three-year term. Vendor Governance and Viability : whether the vendor will still be a credible partner in three years. Is this vendor financially stable, appropriately governed for the sensitivity of the data involved, and likely to still be investing in the product three renewal cycles from now, rather than being acquired, deprioritized, or discontinued. ### A Practical Evaluation Checklist Beyond the five dimensions above, we walk buying committees through a short set of questions designed to surface what a demo will not show. Each question is aimed at a specific failure mode we have seen recur across legal technology purchases. Evaluation Question | What It Actually Tests | Can the vendor show a reference customer with a data environment as messy as yours, not their cleanest case study? | Whether the tool works outside ideal conditions | What does a fully loaded, three-year cost look like, including implementation, training, and support tiers? | True total cost of ownership, not the headline license price | Who specifically, by name or role, owns adoption after go-live? | Whether change management has an accountable owner | What happens to your data and workflow if the vendor is acquired or the product is sunset? | Vendor governance and long-term viability risk | Which existing systems does this tool need to integrate with, and has that integration been tested, not just described? | Real integration complexity versus marketed compatibility | ### What This Means for Legal Technology Buyers - Score every serious vendor against all five Total Value Assessment dimensions before the demo, not after. A demo tends to anchor the evaluation on feature breadth alone if it happens first. - Insist on a reference conversation with a customer whose environment resembles yours , including its messiness, not the vendor's strongest case study. - Build the three-year total cost of ownership into the business case from day one , not as a follow-up question after the contract is already being negotiated. - Name an adoption owner before signing, not after go-live. A tool without an accountable adoption owner is already at risk of joining the 60 percent regret statistic. ### Conclusion The legal departments that consistently make technology decisions they do not regret are not the ones with the most rigorous feature comparison spreadsheets. They are the ones that learned to treat the demo as marketing rather than evidence, and built an evaluation process around the dimensions that actually predict whether a tool will still be delivering value at the third renewal. Roshwin's technology advisory practice is built around exactly that discipline: helping legal departments see past the feature list to the total value question underneath it. Put this into practice ### Related ROSHWIN services Legal Digital Transformation Legal Tech Consulting Explore Contracts Management CLM Consultation Explore Legal Digital Transformation Legal Signal Intelligence Explore About ROSHWIN ### Legal operations, managed legal services and AI-enabled transformation, led by attorneys ROSHWIN Private Limited works as an extension of corporate legal departments and law firms. Our attorney-led teams combine subject knowledge with responsible use of AI, so the work is fast, consistent and defensible, with pricing agreed up front. Litigation and Investigation Specialist review and fact-finding for disputes, investigations and regulatory matters. Contracts Management From choosing the right platform to extracting data and negotiating on your behalf. Compliance Management Repeatable, deadline-driven compliance work, executed with discipline. Legal Digital Transformation Technology consulting, signal intelligence and GenAI automation for modern legal teams. Serving clients across the globe, including the United States, Canada, the United Kingdom and Europe, and the Middle East. Start a conversation Explore our services ### Continue reading All insights [Image: The Roshwin Playbook Learning Loop] Contracts Management 8 min read #### Playbooks That Learn: Contract Review With Falling Escalation Rates How a contract review playbook turns every escalation into a decision made once, and why the best programs track how often they have to ask. November 2026 Read [Image: The pillars of ongoing CLM value] CLM 8 min read #### Beyond Implementation: Making CLM Deliver Ongoing Value Why contract lifecycle management success depends on operational commitment, not just technology selection. Lessons from organizations that moved beyond the initial deployment. July 2026 Read --- # Playbooks That Learn: Contract Review With Falling Escalation Rates | ROSHWIN Insights URL: https://roshwin.ai/insights/contract-review-playbooks Summary: How a contract review playbook turns every escalation into a decision made once. Evidence on the most negotiated terms, review time and cost, reviewer consistency, and the Roshwin Playbook Learning Loop. Back to Insights Contracts Management ## Playbooks That Learn: Contract Review With Falling Escalation Rates How a contract review playbook turns every escalation into a decision made once, and why the best programs track how often they have to ask. Roshwin Private Limited November 4, 2026 8 min read A contract escalated twice for the same reason is a playbook that did not learn. Every legal department knows the feeling. The contracts arrive faster than the team can read them. Sales wants an answer by Friday. Procurement wants the vendor onboarded this month. Somewhere in the pile is the one clause that really matters, and it looks almost exactly like the forty clauses that did not. Most of what a reviewer does on a typical contract is not new thinking. It is the same handful of questions, asked again, against a standard that lives partly in a document and partly in a senior lawyer's head. This piece looks at what the evidence says about how repetitive contract review really is, a finding about reviewer consistency that surprised us, and a model we use at Roshwin for building a playbook that gets better with every contract it sees. ### The Same Few Terms, Year After Year World Commerce and Contracting (WorldCC) has surveyed contract professionals for years about which terms get negotiated most. The answer barely moves. In the 2024 report, limitation of liability, price, and indemnification kept their places at the top, followed by termination, payment, scope, warranty, intellectual property, delivery, and liquidated damages. [Image: The ten most negotiated contract terms in the WorldCC 2024 report, led by limitation of liability, price, and indemnification] Figure 1: The ten most negotiated contract terms, overall ranking, 2024 WorldCC has made the same observation before: the list stays stable, and negotiation time is dominated by risk allocation rather than value creation. For anyone designing a review process, that stability is good news. It means a large share of review is a finite set of recurring questions, and recurring questions can be answered in advance. ### What One Contract Costs to Review The numbers on review effort are worth looking at, with some care. In 2024, researchers at legal technology company Onit compared junior lawyers, senior lawyers, outsourced reviewers, and large language models on the same ten procurement contracts, all checked against a playbook-style list of standards. Senior lawyers averaged about 43 minutes per contract and junior lawyers about 56. Outsourced reviewers took about 200. The best-performing model took under five minutes. [Image: Average minutes and cost to review one procurement contract for senior lawyers, junior lawyers, outsourced reviewers, and the best-performing LLM] Figure 2: Average time and cost to review one procurement contract The cost gap was larger still. Human review ran from roughly 37 to 76 dollars per contract, while model costs came to cents. Three cautions apply. The study was written by a vendor, the sample was small, and the model costs leave out setup and oversight. The authors report about sixteen hours to build and validate the model instructions, which they note is similar to the time spent briefing human reviewers. Treat the figures as direction, not as a quote. The direction is still clear: first-pass review against a clear standard is slow when done by hand and fast when it is not. On accuracy, the picture was closer. At determining whether a contract met each standard, the leading model scored about the same as outsourced reviewers and slightly ahead of junior lawyers. At pointing to the exact clause, outsourced reviewers led, and the best model came close behind. Across all of the groups, errors leaned toward missing an issue rather than inventing one, often by overlooking a small wording difference, such as a standard that required notice to be in writing. ### The Finding That Surprised Us The study also measured how often reviewers agreed with each other. Agreement among the senior lawyers was the lowest of any group, at 0.72 on a scale where 1.0 is perfect. Junior lawyers scored 0.77. The outsourced reviewers, working from the same written checklist, agreed with each other perfectly. [Image: Agreement scores among reviewers: senior lawyers 0.72, junior lawyers 0.77, outsourced reviewers 1.00, all groups combined 0.92] Figure 3: Agreement among reviewers applying the same checklist to the same contracts It would be a mistake to read that as saying outsourced reviewers are better lawyers. The senior lawyers set the answer key by majority view, and nothing in the study shows that perfect agreement means perfectly right. What it shows is consistency. Experienced lawyers applying judgment from experience diverge. People applying a written standard converge. A playbook is how you turn the first kind of review into the second kind without losing the judgment, because the judgment goes into writing the standard. There is a catch, and it matters for how a playbook should be run. A group that agrees perfectly can also share a blind spot. If the playbook misses a nuance, everyone who follows it will miss that nuance together. A playbook needs owners, sampling, and a way to learn. ### What a Playbook Actually Is A playbook records, for each clause that matters, what the business wants, what it will accept instead, and what it must not accept without asking. Every clause in a contract then lands in one of three places: accept, fallback, or escalate. Outcome What the reviewer does Illustrative position: limitation of liability - Accept Passes without comment Mutual liability cap equal to fees paid in the prior 12 months. - Fallback Apply the pre-approved alternative Cap of up to 24 months of fees, with breaches of confidentiality carved out. - Escalate Send to the legal team with a short summary Uncapped liability, or removal of the exclusion of indirect damages. Illustrative example only. Actual positions are set and approved by the client's legal team. Two design choices make the difference. First, the playbook is built from past negotiations, not from policy documents. Past deals show what the business actually accepted under real pressure, which is often different from what the policy says. Second, the client's legal team approves it. The playbook is the legal team's judgment, made in advance. Roshwin does not give legal advice. We work as the execution arm of the legal team, applying the standard the team has set and sending back anything it does not cover. ### Playbooks That Learn Most playbooks fail slowly. The first version never covers everything, so exceptions go to a lawyer, the lawyer decides, and the decision disappears into an email thread. The next time the same issue arrives, it is escalated again. The playbook has not changed. Only the lawyer's workload has. A playbook that learns closes that loop. Every escalation is a question the playbook could not answer. The client's legal team answers it once. We then record the answer as a new fallback or a new trigger, with the legal team's approval, so the next contract with the same issue is handled without anyone being asked. [Image: The Roshwin Playbook Learning Loop: review against the playbook, escalate what it does not cover, client legal team decides once, codify the decision in the playbook] Figure 4: The Roshwin Playbook Learning Loop The result is a curve that falls quickly at first and then flattens. It never reaches zero, and it should not. New deal types and new law keep producing real exceptions that deserve a lawyer's attention. The point is that the lawyer's attention goes to the contracts that need it, and the number of times the team is asked the same question trends toward none. [Image: Illustrative curve of the share of clauses escalated falling over time across build, learn, and stabilize phases] Figure 5: How escalation rates fall as a playbook learns (illustrative model, not client data) The loop produces a second benefit that is easy to overlook. Every escalation and every counterparty pushback is recorded, so the playbook becomes a source of data. Which clauses do counterparties resist most? Where do the business's own templates invite negotiation? That information is what lets a legal team standardize its paper upstream instead of fixing the same problem downstream, contract after contract. ### Where AI Fits and Where It Does Not AI belongs in the first pass against the playbook, which is the part of review that is repetitive and rule-shaped. The evidence for that is reasonably consistent. In the 2025 Vals Legal AI Report, which compared legal AI tools with a lawyer control group, the tools beat the lawyers on tasks such as document analysis and data extraction. The lawyers stayed ahead on redlining, the work of proposing contract changes, with a baseline score of about 80 percent. That split maps well onto a playbook workflow. Let AI read the contract against the standard and flag each clause as accept, fallback, or escalate. Keep people on the redline and on every escalation. Where we use AI, reviewers check its calls and a sample is audited, because the Onit study shows that both people and models miss small wording differences. The goal is not to remove the reviewer. It is to put the reviewer's attention on the clauses where it changes the outcome. This works for both sides of the table. A sales team reviewing customer paper wants speed and a clear sense of which concessions are safe to give. A procurement team reviewing vendor paper wants protection and a clear sense of which terms are not negotiable. The positions differ, but the loop is the same. ### How to Tell Whether It Is Working A playbook that learns should be measured like a process, not filed like a document. Three measures tell most of the story. 01 Escalation rate Tracked by clause as well as overall, because a high rate on one clause shows exactly where the playbook is thin. 02 Time to first-pass answer How long the business waits, which is the number that sales and procurement teams actually feel. 03 Standardization rate The share of contracts that close on the preferred position or a pre-approved fallback. When escalation falls and standardization rises together, the playbook is doing its job. When escalation falls but standardization does not, something else may be happening. The team could be accepting terms quietly that deserve a second look, or the playbook may have drifted away from what the legal team would actually approve. That is why a regular review of sampled contracts belongs in the routine, not only in the setup. ### Does Your Review Process Need a Playbook That Learns? A few honest answers will tell you where the effort is going. Select each question your answer is yes to. Question If yes, the gap is - Do the same clauses go back to legal for approval again and again? Codification gap - Does the outcome of a review depend heavily on who picked it up? Consistency gap - Is your playbook, if you have one, older than your last template change, or kept in someone's head? Maintenance gap - Can you say which clauses counterparties push back on most? Visibility gap - Do business teams wait on legal for answers that an approved position already covers? Speed gap 0 of 5 answered yes Two or more yes answers suggest that review effort is being spent on questions that have already been answered once. ### What This Means for Legal and Commercial Leaders Start with the clauses that matter most. The ten most negotiated terms are a sensible first draft of the playbook. Build positions from past negotiations and have the legal team approve them, so the playbook reflects what the business has actually accepted. Decide who approves a change to the playbook before the first escalation arrives. The loop only works if decisions are captured quickly. Track the escalation rate and the cycle time every month. A falling escalation rate is the clearest sign that the playbook is learning. Sample-check automated first-pass calls on a regular schedule, and keep people on redlines and escalations. ### Conclusion Contract review will always need judgment. It does not need the same judgment applied again for every contract that looks like the last one. A playbook that learns lets the legal team make each decision once and then spend its time on the contracts that are genuinely new. Roshwin builds and runs these playbooks for sales and procurement teams. The standard comes from the client's lawyers, the first pass is fast, and the escalations get rarer, which is how you can tell it is working. Put this into practice ### Related ROSHWIN services Contracts Management Contract Review Explore Contracts Management CLM Consultation Explore Legal Digital Transformation GenAI Workflow Automation Explore About ROSHWIN ### Legal operations, managed legal services and AI-enabled transformation, led by attorneys ROSHWIN Private Limited works as an extension of corporate legal departments and law firms. Our attorney-led teams combine subject knowledge with responsible use of AI, so the work is fast, consistent and defensible, with pricing agreed up front. Litigation and Investigation Specialist review and fact-finding for disputes, investigations and regulatory matters. Contracts Management From choosing the right platform to extracting data and negotiating on your behalf. Compliance Management Repeatable, deadline-driven compliance work, executed with discipline. Legal Digital Transformation Technology consulting, signal intelligence and GenAI automation for modern legal teams. Serving clients across the globe, including the United States, Canada, the United Kingdom and Europe, and the Middle East. Start a conversation Explore our services ### Continue reading All insights [Image: Legal technology evaluation radar] Technology 9 min read #### Evaluating Legal Technology: Beyond the Feature List A framework for assessing legal technology investments that accounts for integration complexity, change management, and long-term total cost of ownership. August 2026 Read [Image: The pillars of ongoing CLM value] CLM 8 min read #### Beyond Implementation: Making CLM Deliver Ongoing Value Why contract lifecycle management success depends on operational commitment, not just technology selection. Lessons from organizations that moved beyond the initial deployment. July 2026 Read --- # Matter Pods: Why Specialized Review Teams Beat Generic Review Pools | ROSHWIN Insights URL: https://roshwin.ai/insights/matter-pods Summary: Why the team reviewing your documents should understand your case before it opens the first one. Evidence on reviewer agreement, where expertise pays off, Second Requests, and the Roshwin Matter Pod model. Back to Insights Litigation and Investigation ## Matter Pods: Why Specialized Review Teams Beat Generic Review Pools Why the team reviewing your documents should understand your case before it opens the first one, and how to build that into the workflow. Roshwin Private Limited October 2026 8 min read A generic review pool learns your case while it reviews. A pod learns it before the first document is opened. Ask a litigator what makes a document review go wrong and you will hear about deadlines, budgets, and platforms. Ask what made the last good review go well and the answer is usually a person. Someone on the team understood the case, caught the odd document early, and made sure every reviewer was making the same call on the same kind of document. That observation sits at the center of how we think about review at Roshwin. Review is expensive, it is repetitive, and it is where most of the risk in a production hides. This piece looks at the evidence on why review quality varies, where subject matter expertise genuinely helps and where it does not, and a staffing model we call the matter pod. ### Review Is Still Where the Money Goes The most cited study of eDiscovery costs is still the 2012 report from the RAND Institute for Civil Justice. It found that review took about 73 percent of production spend, with processing at 19 percent and collection at 8 percent. Review has since lost some share as collection costs have grown. One industry reconciliation puts review at about 62 percent of task spend in 2025 and projects 52 percent by 2030. [Image: Share of eDiscovery task spend by stage (review, processing, collection) in 2012, 2025, and the 2030 forecast] Figure 1: Share of eDiscovery task spend by stage, 2012, 2025, and 2030 forecast Even at 52 percent, review remains the largest line. It is also the line that depends most on human judgment. When the biggest cost is also the most judgment-driven, a small gain in consistency is usually worth more than a small gain in speed. A review that is fast and inconsistent has to be partly done again. ### Reviewers Disagree More Than Anyone Admits The research on reviewer agreement is older than most people expect, and it has not been kind to the idea that trained reviewers produce identical results. Ellen Voorhees studied assessors who were trained experts and found that two of them overlapped on only about 45 percent of the documents they judged relevant. With three assessors, the overlap fell to about 30 percent. A well known 2010 study by Roitblat, Kershaw, and Oot put agreement between human review teams in roughly the 70 percent range. [Image: Reviewer agreement rates reported in published studies by Voorhees and by Roitblat, Kershaw, and Oot] Figure 2: Reviewer agreement in published studies (measures differ by study) The useful question is why. In 2012, Maura Grossman and Gordon Cormack examined disagreements from the TREC 2009 Legal Track and concluded that much of the inconsistency came from human error, not from documents that were truly borderline. That is good news in a practical sense. If disagreement were mostly ambiguity, nothing could be done about it. Because it is largely error, a better process can reduce it. Error tends to come from predictable places. Reviewers learn the case from a written protocol alone. Instructions change mid-review and not everyone hears about it. A newer reviewer reads a request literally, while an experienced one reads it for what the requesting side actually needs. None of these are talent problems. They are setup problems. ### What Expertise Actually Buys It would be easy to overstate the case here, so it is worth being precise. Some of the research points the other way. A 2012 study by information scientist William Webber, widely discussed in the legal press, suggested that legally trained reviewers were not clearly more accurate than non-lawyers on first-pass responsiveness calls. The sample was very small, and practitioners were quick to point out that real reviews involve iterative instructions that a controlled study does not capture. Still, the result is a fair warning against assuming that a law degree alone makes a reviewer more accurate. Our reading is that expertise pays off in four specific places. Routine responsiveness calls on clear instructions are not one of them. 01 Writing the instructions. A team that knows the industry turns a vague request into a protocol that reviewers can apply the same way every time. 02 Spotting what nobody asked them to look for. Unusual product names, internal shorthand, or a pattern in a regulator's questions only stand out to someone who knows the subject. 03 Privilege and confidentiality calls. These need judgment and context. Practitioners have long advised running second-level privilege review with smaller teams to keep calls consistent. 04 Knowing when to escalate. A reviewer who understands the matter asks the right question early, while the answer is still cheap to apply. So the case for specialization is not that specialists read faster. It is that a team which already understands the subject needs less instruction, asks better questions, and notices problems sooner. ### AI Raises the Value of Specialists It is tempting to assume that technology-assisted review and GenAI make this debate irrelevant. They do the opposite. In active learning, the reviewers' coding decisions train the model. If the reviewers are inconsistent, the model learns inconsistent lessons and ranks documents accordingly. Cormack and Grossman made a related point in 2017, arguing that human relevance labels are imperfect observations of a property that is sometimes ambiguous, and that this affects training, evaluation, and quality control. GenAI shifts the problem rather than removing it. A model that makes the first pass still needs instructions, and those instructions are only as good as the understanding behind them. Someone who knows the subject has to write the prompt, test it against a sample, read the disagreements, and decide whether the model or the instruction is wrong. That is expert work. The reviewer's role moves from calling every document to validating the calls that matter, which makes domain knowledge more valuable, not less. This is why we design pods to work across workflows. The same team that would run a linear review can run active learning or a GenAI first pass, because the part that determines quality, understanding the matter, does not change. ### When the Stakes Spike: Second Requests The argument is strongest in matters where timing and experience cannot be improvised. Consider the Second Request, the government's demand for additional information during a merger review under the Hart-Scott-Rodino Act. These are uncommon. The FTC and DOJ issued 41 in fiscal 2025, about 2.1 percent of notified transactions, and 59 in fiscal 2024, about 3.0 percent. Of the 2025 requests, 78 percent went to deals worth more than 500 million dollars. [Image: Number of Second Requests issued by the FTC and DOJ under the Hart-Scott-Rodino Act, fiscal 2022 to fiscal 2025] Figure 3: Second Requests issued by the FTC and DOJ, fiscal 2022 to fiscal 2025 That creates an awkward staffing problem. Volume is lumpy, the deal is high value, and the deadline is set by a regulator, not by the review team. Practitioner guidance is consistent that everyone on the team should have worked on multiple Second Requests before, and that the team should document its decisions in case the agencies later ask how the response was prepared. A generic pool assembled for the occasion cannot supply that. Experience of this kind has to exist before the request arrives. ### The Roshwin Matter Pod A matter pod is a standing group of reviewers and a lead attorney organized around two things: the type of litigation and the industry. An antitrust pod and an employment pod need different instincts. A financial services pod and a pharma pod need different vocabularies. Where the two meet is where a team becomes useful quickly. Our launch pods cover financial services litigation, pharma, antitrust, and Second Requests, and more will follow the same logic. [Image: The Roshwin Matter Pod model: a lead attorney and reviewers organized by litigation type and industry] Figure 4: The Roshwin Matter Pod model Pods are not tied to a platform. Roshwin does not sell a review platform. The pod works on the client's platform or the client's vendor's platform, and can advise on platform selection when asked. What the pod brings is people who already know the subject and a workflow built around them. An engagement runs in four steps. [Image: The four steps of a matter pod engagement: Scope, Design, Calibrate, Ramp and report] Figure 5: The four steps of a pod engagement - 1 Scope. The pod joins before the first document is reviewed. It aligns with counsel on the review protocol, the scope, and the definitions. Questions raised here cost almost nothing to fix. The same questions raised in week three cost a re-review. - 2 Design. The pod recommends and deploys the workflow that fits the matter: linear review, active learning, a GenAI first pass, or a hybrid. AI is used where the client wants it and where it can be defended. - 3 Calibrate. Reviewers are baselined on demonstrated accuracy before the main volume starts. Sampling is set by the size, scale, and complexity of the matter, then adjusted for subject matter, document type, and each reviewer's own performance. A small first batch is delivered within 24 to 48 hours of review starting, and the team ramps up only after the client gives a green light. - 4 Ramp and report. The team scales to the deadline. Because the pod understands the subject, it can share trends with counsel while the review runs, including emerging themes, unusual documents, and instruction questions, instead of handing over a coding export at the end. This is what we mean by going slow to go fast. The first days feel slower than simply starting. They are also the days that protect the deadline. ### Do You Need a Pod? A Short Diagnostic Before staffing the next matter, it helps to answer a few questions honestly. Select each question your answer is yes to. Question If yes, the gap is - Does the matter turn on industry terms, products, or regulations that a general reviewer will not know on day one? Domain gap - Is the deadline fixed by a court or regulator, with volume that arrives in a spike? Experience and capacity gap - Did review calls drift between reviewers or batches on a recent matter? Consistency gap - Do reviewers receive a written protocol but no chance to question the people who wrote it? Calibration gap - Does outside counsel see review trends only at the end, not while the review runs? Insight gap 0 of 5 answered yes Two or more yes answers suggest the matter would benefit from a team that learns the case before it reviews. ### What This Means for Litigation Counsel and Legal Departments Treat reviewer calibration as part of the review plan. Ask who will be on the team, what they already know about the subject, and how accuracy will be measured before volume ramps. Bring the review team into scoping early. Questions about the requests are cheapest to answer before review starts. For rare, high-stakes events such as Second Requests, choose a team for its prior experience, not only its rate card. Ask for trend reporting during the review. Early visibility into themes and unusual documents is part of the value, not an extra. Match the workflow to the matter. Linear review, active learning, and a GenAI first pass each suit different volumes and risk profiles, and the choice should be made deliberately. ### Conclusion Document review will keep getting more automated. The judgment around it will not. The teams that deliver consistent, defensible results are rarely the ones with the largest headcount. They are the ones that understood the case early and kept every reviewer making the same call. Roshwin built the matter pod around that idea: a team that learns the matter before it reviews, so that speed, once it arrives, is speed that holds up. Put this into practice ### Related ROSHWIN services Litigation and Investigation Litigation Document Review Explore Litigation and Investigation Bibliographic Coding Explore Litigation and Investigation Chronology Creation Explore About ROSHWIN ### Legal operations, managed legal services and AI-enabled transformation, led by attorneys ROSHWIN Private Limited works as an extension of corporate legal departments and law firms. Our attorney-led teams combine subject knowledge with responsible use of AI, so the work is fast, consistent and defensible, with pricing agreed up front. Litigation and Investigation Specialist review and fact-finding for disputes, investigations and regulatory matters. Contracts Management From choosing the right platform to extracting data and negotiating on your behalf. Compliance Management Repeatable, deadline-driven compliance work, executed with discipline. Legal Digital Transformation Technology consulting, signal intelligence and GenAI automation for modern legal teams. Serving clients across the globe, including the United States, Canada, the United Kingdom and Europe, and the Middle East. Start a conversation Explore our services ### Continue reading All insights [Image: The Human-AI Review Maturity Framework] Legal Operations 6 min read #### The Future of AI-Assisted Document Review in Legal Proceedings How human-in-the-loop AI is reshaping document review while maintaining the precision and defensibility that courts demand. The role of trained professionals alongside intelligent systems. April 2026 Read [Image: The Roshwin Playbook Learning Loop] Contracts Management 8 min read #### Playbooks That Learn: Contract Review With Falling Escalation Rates How a contract review playbook turns every escalation into a decision made once, and why the best programs track how often they have to ask. November 2026 Read --- # Contract Intelligence: From Data to Strategic Insight | ROSHWIN Insights URL: https://roshwin.ai/insights/contract-intelligence Summary: Transforming the contract repository from a static archive into a dynamic source of commercial intelligence and risk visibility. Introduces the Roshwin Contract Intelligence Ladder. Back to Insights CLM ## Contract Intelligence: From Data to Strategic Insight Transforming the contract repository from a static archive into a dynamic source of commercial intelligence and risk visibility. Roshwin Private Limited August 2026 6 min read A contract repository that nobody queries is not an asset. It is a very expensive filing cabinet with a search bar. Most legal departments already have the raw material for genuine strategic insight sitting inside their contract repository. Every negotiated term, every pricing concession, every renewal cycle, every clause a counterparty pushed back on, is data. The overwhelming majority of legal departments never turn it into anything. It sits there, technically stored, functionally invisible, until someone needs a specific contract for a specific reason and goes looking for it. That gap between having contract data and having contract intelligence is one of the more fixable problems in legal operations, and it is also one of the most consistently ignored, because fixing it does not feel urgent the way a compliance deadline or an active dispute does. ### The Visibility Problem Comes First Before any organization can extract strategic insight from its contracts, it has to be able to find them. This sounds too basic to be a real problem. It is, in fact, exactly where most organizations are still stuck. [Image: Donut chart showing 71% of businesses cannot locate at least 10% of their own contracts] Figure 1: Share of businesses unable to locate at least one in ten of their own contracts. A significant majority of businesses cannot locate at least one in ten of their own contracts on demand. That is not an analytics problem. It is a foundational visibility problem, and no amount of dashboard sophistication will fix it if the underlying repository is incomplete or unsearchable. Strategic contract intelligence is a ladder, and visibility is the bottom rung. Organizations that try to skip straight to advanced analytics without first solving basic visibility end up with impressive-looking dashboards built on an incomplete and unreliable data foundation. ### What Mature Contract Data Practices Actually Deliver The organizations that do make the climb from repository to insight see returns that are concrete and specific, not abstract claims about better decision-making. Legal operations leaders reporting mature data practices point to two recurring wins. [Image: Bar chart showing departments with mature data practices negotiate outside counsel rates 45% below rack rate and bring 75% of legal work in-house] Figure 2: Measurable outcomes reported by legal departments with mature contract and spend data practices. Departments with disciplined billing guidelines and clear, data-backed expectations have negotiated outside counsel rates as much as 45 percent below standard rack rates. Separately, departments with strong internal data and technology foundations report bringing as much as 75 percent of their legal work in-house, a shift enabled by the confidence that better data and clearer workflows provide. Neither outcome comes from a smarter negotiator or a bigger internal team. Both come from a legal department that can point to its own data and say precisely where value is being lost or gained. ### The Category Is Growing for a Reason The market is already reflecting this shift. Contract management and contract AI tools represented about 18 percent of global legal technology spend in 2026, and that share is projected to climb to roughly 25 percent by 2036, making it the largest category in the legal technology market, ahead of even legal research products. [Image: Area chart showing contract and contract AI tools growing from 18% of legal tech spend in 2026 to 25% by 2036] Figure 3: Contract and contract AI tools as a share of global legal technology spend, 2026 to 2036. That growth is not happening because contract management is a novel idea. It is happening because organizations are recognizing, often after years of treating contracts as a compliance archive, that the same repository can be turned into one of the richest sources of commercial intelligence available to a legal department, if it is built and used correctly. ### The Roshwin Contract Intelligence Ladder At Roshwin, we assess where a legal department actually sits on the path from data to insight using a four-level model. Most departments overestimate where they are on this ladder, usually because they conflate having a searchable repository with having genuine analytics. [Image: Pyramid diagram showing the Roshwin Contract Intelligence Ladder: Level 1 Repository, Level 2 Reporting, Level 3 Analytics, Level 4 Strategic Intelligence] Figure 4: The Roshwin Contract Intelligence Ladder. Level 1: Repository. Contracts live in one searchable system. Nobody has to dig through email threads or shared drives to find an executed agreement. This is table stakes, not a strategic capability, but a large share of organizations have not reliably achieved even this. Level 2: Reporting. Basic metrics are tracked and visible: contract volume by type, cycle time, upcoming renewals, and expiration windows. This is where most CLM implementations plateau, because reporting is what the platform shows out of the box. Level 3: Analytics. Patterns are surfaced across the full portfolio: which clauses create the most negotiation friction, where compliance exposure clusters, which counterparties consistently push for the same concessions. This requires deliberate configuration, not just a platform license. Level 4: Strategic Intelligence. Contract data actively shapes decisions before they are made: negotiation strategy is set using historical concession data, vendor selection accounts for past contract performance, and legal spend decisions are backed by portfolio-wide evidence rather than instinct. Each level is a genuine prerequisite for the one above it. An organization cannot do meaningful analytics on a repository it cannot search completely, and it cannot build strategic intelligence on analytics nobody trusts. The honest first step for most legal departments is admitting which level they are actually on, rather than the level their CLM vendor's sales deck implied they would reach. ### What This Means for Legal and Commercial Leaders - Audit repository completeness before investing in any analytics layer. A dashboard built on 80 percent of your contracts will quietly mislead every decision built on top of it. - Treat Level 2 reporting as a floor, not a destination. Most CLM platforms deliver this out of the box, and stopping here leaves the real value of the platform unrealized. - Assign explicit ownership for turning contract analytics into negotiation and sourcing decisions. Data that nobody is accountable for acting on stays data, and never becomes intelligence. - Revisit clause and risk analytics quarterly, not annually. Negotiation patterns and compliance exposure shift faster than most reporting cadences currently assume. ### Conclusion The legal departments extracting real strategic value from their contracts are not the ones with the most advanced analytics software. They are the ones that did the unglamorous work of getting every contract into one searchable place first, then climbed the ladder deliberately, one level at a time, until the repository stopped being a filing cabinet and started being a source of leverage. Roshwin's contract intelligence practice is built around that climb: helping legal departments turn a static archive into a genuine strategic asset. Put this into practice ### Related ROSHWIN services Contracts Management Contract Abstraction Explore Contracts Management Contract Review Explore Compliance Management Contract Remediation Explore About ROSHWIN ### Legal operations, managed legal services and AI-enabled transformation, led by attorneys ROSHWIN Private Limited works as an extension of corporate legal departments and law firms. Our attorney-led teams combine subject knowledge with responsible use of AI, so the work is fast, consistent and defensible, with pricing agreed up front. Litigation and Investigation Specialist review and fact-finding for disputes, investigations and regulatory matters. Contracts Management From choosing the right platform to extracting data and negotiating on your behalf. Compliance Management Repeatable, deadline-driven compliance work, executed with discipline. Legal Digital Transformation Technology consulting, signal intelligence and GenAI automation for modern legal teams. Serving clients across the globe, including the United States, Canada, the United Kingdom and Europe, and the Middle East. Start a conversation Explore our services ### Continue reading All insights [Image: The Roshwin Playbook Learning Loop] Contracts Management 8 min read #### Playbooks That Learn: Contract Review With Falling Escalation Rates How a contract review playbook turns every escalation into a decision made once, and why the best programs track how often they have to ask. November 2026 Read [Image: The legal middle office model] Legal Operations 7 min read #### The Middle Office: Unlocking Hidden Capacity in Legal Teams How strategic middle-office support allows legal professionals to focus on high-value work while maintaining operational excellence in the background. August 2026 Read --- # About | ROSHWIN - Legal Operations Experts URL: https://roshwin.ai/about Summary: ROSHWIN combines legal subject matter expertise, operational discipline, and modern technology to serve corporate legal departments and law firms across the globe. About ROSHWIN ## Built on expertise. Driven by outcomes. ROSHWIN was founded on a simple premise: legal operations deserve the same rigour, intelligence, and modern thinking that the best organizations apply across their business. ### Our story ROSHWIN emerged from decades of collective experience at the intersection of legal practice, operations, and technology. Our founders recognized that corporate legal departments and law firms were being underserved, caught between generic consulting firms that lacked legal domain depth and traditional legal service providers that lacked operational sophistication. We built ROSHWIN to bridge that gap: a firm that combines genuine legal operations expertise with modern technology fluency and a relentless focus on measurable client outcomes. Today, we serve corporate legal departments and global law firms in the United States, Canada, the United Kingdom and Europe, and across the Middle East, including the UAE, delivering managed services, contract transformation, and digital modernization with the precision and reliability our clients require. Our teams work across time zones, so matters move forward overnight for clients in London, New York, Toronto and Dubai. #### Our approach - We listen deeply before proposing solutions - We embed within your operations, not beside them - We measure success by your outcomes, not our hours - We bring technology as an enabler, not an end - We build for sustainability, not just deployment ### Our values The principles that guide every engagement and every interaction. #### Precision Every output reflects meticulous attention to detail. In legal operations, precision is not a luxury, it is a requirement. #### Partnership We do not work for our clients, we work with them. Genuine collaboration produces outcomes that neither side could achieve alone. #### Perspective Global experience across jurisdictions and industries gives us a breadth of insight that informs every engagement. #### Excellence We hold ourselves to the standards our clients expect. Consistent delivery at the highest level is the foundation of trust. ### Where we are Headquartered in New Delhi, India, with locations in Canada and the United States. We serve clients across the globe. #### Registered Office & Headquarters Plot No. 94, 3rd Floor, Pocket-10, Sector-13 Dwarka, New Delhi - 110078 India #### Our presence - India (Headquarters) - Canada - United States Serving clients across the globe ### Work with us If you are ready to bring operational excellence and modern thinking to your legal function, we would welcome the conversation. Get in Touch --- # Contact | ROSHWIN - Start a Conversation URL: https://roshwin.ai/contact Summary: Contact ROSHWIN for legal operations consulting, managed legal services, CLM transformation, or digital modernization. Email hello@roshwin.ai. Headquartered in New Delhi, India, with locations in Canada and the United States. Contact ## Start a conversation Whether you have a specific challenge in mind or want to explore how we might help, we welcome the opportunity to connect. We work with clients across the globe. Tell us where you are and we'll match our hours to yours. Name Email Company How can we help? Your privacy. We use the details you share only to reply to your enquiry and, if you ask, discuss how we can help. We do not sell your data or add you to marketing lists without your permission. You can ask us to access or delete your details at any time by writing to privacy@roshwin.ai . Read our Privacy Policy for details. Send Message #### Get in touch Email hello@roshwin.ai Registered Office & Headquarters Plot No. 94, 3rd Floor, Pocket-10, Sector-13 Dwarka, New Delhi - 110078 India Our presence India, Canada and the United States Serving clients across the globe #### What to expect - Response within one business day - Initial consultation at no cost - Confidential and no-obligation - Direct access to senior leadership --- # Partnerships | ROSHWIN - Grow Further, Together URL: https://roshwin.ai/partners Summary: Partner with ROSHWIN as a talent and staffing partner, technology alliance, law firm or consultancy alliance, or member of our Industry Associates Network. Partnerships ## Grow further, together. The best outcomes in legal services rarely come from one organization working alone. We build long-term partnerships with talent providers, technology companies, law firms, consultancies and experienced industry professionals who share our commitment to quality. Each partnership is shaped around what both sides do best, with clear roles, shared standards and respect for every client relationship. Explore partnership models Start a conversation ROSHWIN Partner network Talent & Staffing Partners Technology Alliances Law Firm & Consultancy Alliances Industry Associates Network ### What Roshwin brings Partners gain a team that combines legal expertise, operational discipline and technology fluency, and that holds itself to the standards your clients expect. #### Legal depth Attorneys and legal professionals who understand the work, not just the workflow. Every engagement is led by an attorney from scoping to close. #### AI at the core Attorney-technologists who apply GenAI and modern platforms where they genuinely help, with human judgment where it matters. #### Global reach A presence in India, Canada and the United States, serving clients across the globe and working across time zones. #### Scale on demand Specialist pods that ramp up or down with the matter, from a single expert to an embedded team. #### Quality discipline Calibrated reviewers, measured accuracy and early, rolling feedback, so standards hold as volume grows. #### Platform-agnostic Hands-on experience across leading CLM, e-discovery and legal AI platforms, with advice that stays objective. Four ways to partner ### Partnership models Choose a model to see how it works, what each side contributes, and where it creates the most value. 01 Talent & Staffing Partners Capacity that flows both ways 02 Technology Alliances Platforms, put to work 03 Law Firm & Consultancy Alliances Specialist depth, alongside your advice 04 Industry Associates Network Your experience, still at work Capacity that flows both ways #### Talent & Staffing Partners For: Legal staffing firms, specialist talent providers and legal-services workforce businesses. Legal demand rarely arrives evenly. A Second Request lands, a regulator calls, a portfolio needs repapering, and the right people are needed within days rather than months. No single organization can keep every specialism on the bench at all times, and nobody should have to turn good work away for lack of it. Our talent partnerships create a shared, standards-led bench. When our matters surge, partners help us bring in vetted legal and legal-technology professionals. When their clients need specialist reviewers, matter pods or document-review capacity, Roshwin can step in with trained, quality-baselined teams. Both sides take on more of the work they want, and neither carries the cost of idle capacity. Your bench - Vetted legal professionals - Legal-tech specialists - Multi-jurisdiction reach Professionals for our peak demand Review capacity for your clients Roshwin bench - Specialist review pods - Quality-baselined reviewers - AI-assisted workflows Both sides say yes to more work, with quality held to one standard ##### How it works - 1 We map each other’s specialisms, jurisdictions and typical lead times. - 2 We align on vetting, quality, confidentiality and data-protection standards. - 3 Either side calls on the shared bench as matters arise. - 4 We review fit and performance together and refine the model. ##### What you gain - Access to trained review teams without building them - A dependable home for your talent between assignments - A partner fluent in legal workflows and technology ##### What we build together - Faster response to client deadlines - Consistent quality standards - Shared insight into where demand is heading ##### Typical collaborations Surge document review Second Request staffing Contract abstraction programmes Multilingual review DSAR and incident-response teams Start a conversation about this model ### How we partner The principles behind every partnership, whatever its shape. #### Relationships respected Each partner’s client relationships remain their own. We never solicit our partners’ clients. #### Confidential by default Confidentiality, data protection and conflicts are addressed before any work begins. #### Objectivity preserved Partnerships never shape the advice we give clients. We do not accept referral fees from technology vendors. #### Shaped together No two partnerships are alike. Structure, roles and terms are agreed through open discussion. ### How a partnership starts Four simple steps, from first conversation to first engagement. - 1 #### Introduce Tell us who you are and what you have in mind, through the form below or by email. - 2 #### Explore An exploratory conversation with a senior member of our team to understand goals and test the fit. - 3 #### Shape Together we agree scope, roles, standards and terms that work for both sides. - 4 #### Launch We begin with a defined first engagement, review it together and grow from there. ### Start the conversation Share a little about your organization and the partnership you have in mind. A senior member of our team reviews every inquiry personally. Prefer email? partnerships@roshwin.ai Every partnership is shaped individually. Structure, roles and commercial terms are agreed through discussion and set out in writing before work begins. What kind of partnership do you have in mind? Talent & Staffing Partners Technology Alliances Law Firm & Consultancy Alliances Industry Associates Network Something else Full name Work email Organization Role or title Optional Country Optional Website Optional Tell us about the partnership Who you are, who you serve, and where you see us creating value together. Your privacy. We use the details you share only to review your partnership inquiry and reply to you about it. We do not sell your data or add you to marketing lists without your permission. You can ask us to access or delete your details at any time by writing to privacy@roshwin.ai . Read our Privacy Policy for details. Send inquiry --- # Careers | ROSHWIN - Shape the Future of Legal Work URL: https://roshwin.ai/careers Summary: Build a career where legal expertise meets AI. Learn why people join ROSHWIN, how we work, our hiring process, and how to join our talent network. Careers ## Shape the future of legal work. Roshwin brings together legal expertise, operational discipline and AI to help law firms and legal teams around the world do their best work. We are looking for curious, precise and collaborative people who want to build something lasting. Join our talent network [Image: Colleagues collaborating on a laptop in a bright modern office] Life at Roshwin Serious legal work, modern tools and a team that invests in you. Legal expertise with AI at the core Our presence India Canada United States Talent network open ### Why Roshwin A place to do serious legal work with modern tools, and to grow faster than you would anywhere else. #### Work where law meets AI Apply GenAI and modern legal platforms to real matters, guided by people who know where technology helps and where judgment must lead. #### Learn from practitioners Work alongside attorneys and attorney-technologists who have practised in-house and in law firms, and who invest in teaching. #### Global from day one Contribute to matters for clients across the globe, collaborating with teams in India, Canada and the United States. #### Ownership, early A growing firm means real responsibility sooner. Good ideas are heard, tested and adopted, whoever they come from. #### Work you can be proud of Our clients rely on precision. You will build the habits of quality and accuracy that define a career in legal services. #### Grow with us As Roshwin grows, so do the opportunities: new practice areas, new jurisdictions and new leadership roles. ### How we work The habits that make our work dependable, and that we look for in everyone who joins us. #### Where you might fit Attorneys and legal professionals Document reviewers and paralegals Contract and CLM specialists Compliance and regulatory analysts Legal technologists and AI specialists Business development and client success Operations and delivery managers - 01 #### Precision first We take the time to get it right, then we make it fast. Accuracy is the foundation everything else rests on. - 02 #### Human judgment, AI leverage Technology handles volume; people own the decisions. We expect everyone to understand both. - 03 #### One team across time zones Work moves forward around the clock through clear handovers, shared standards and honest communication. - 04 #### Confidentiality is non-negotiable We handle sensitive legal matters every day. Discretion and data protection are part of how everyone works. - 05 #### Feedback, continuously Reviewers are calibrated, work is measured, and feedback flows in every direction so that everyone improves. ### Our hiring process Clear, respectful and focused on what you can do. - 1 #### Introduce yourself Join our talent network below or write to us. A few details are all we need to start. - 2 #### A conversation When a role fits, we arrange an informal conversation about your experience and what you are looking for. - 3 #### A practical exercise For most roles, a short exercise relevant to the work, so you can show how you think. - 4 #### Decision and onboarding A clear decision, a structured onboarding and a team ready to welcome you. A note on recruitment fraud. Roshwin never asks candidates for payment at any stage of hiring, and we only contact candidates from an @roshwin.ai email address. If you receive a suspicious message claiming to be from us, please let us know at careers@roshwin.ai . ### Join our talent network We do not have open roles listed right now, but we are always glad to meet talented people. Share a few details and we will reach out when an opportunity matches your experience. Questions about careers? careers@roshwin.ai Full name Email Country Experience Select your experience Student or recent graduate Early career (0-3 years) Experienced (4-9 years) Senior (10+ years) Area of interest Where would you like to contribute? Litigation & document review Contracts & CLM Compliance & regulatory Legal technology & AI Business development & client success Operations & delivery management Something else Professional profile link Optional For example, your LinkedIn profile. Please include https:// A short note Optional We ask only for what we need at this stage. Please do not include your CV, identity documents or other sensitive personal information. If an opportunity fits, we will ask for anything relevant then. Your privacy. We use the details you share only to consider you for current and future roles at Roshwin. We do not sell your data or add you to marketing lists without your permission. You can ask us to access or delete your details at any time by writing to privacy@roshwin.ai . Read our Job Applicant Privacy Notice and our Privacy Policy for details. Join the talent network --- # Privacy Policy | ROSHWIN URL: https://roshwin.ai/privacy-policy Summary: How Roshwin Private Limited collects, uses, shares and protects personal data, and the rights available to you under applicable data-protection laws. Legal ## Privacy Policy Roshwin Private Limited Last updated: 4 November 2026 Effective: 4 November 2026 On this page On this page - 1. Who we are and what this Policy covers - 2. Personal data we collect - 3. How we use personal data - 4. Legal basis and consent - 5. Marketing, newsletters, cold outreach and messaging - 6. Job Applicant Privacy Notice - 7. Cookies, analytics and similar technologies - 8. Online advertising, social media and community features - 9. Artificial intelligence and automated tools - 10. Client Materials, hosting and jurisdiction-specific requirements - 11. How we share personal data - 12. International data transfers - 13. Data retention - 14. Security and incidents - 15. Your rights - 16. Children - 17. Third-party websites and services - 18. Changes to this Policy - 19. Contact and grievance redressal ### 1. Who we are and what this Policy covers This Privacy Policy explains how Roshwin Private Limited (CIN U69100DL2026PTC466238), a company incorporated in India with its registered office at Plot No. 94, 3rd Floor, Pocket-10, Sector-13, Dwarka, New Delhi - 110078, India (" Roshwin ", " we ", " us " or " our "), collects, uses, shares and protects personal data when you visit roshwin.ai and any related websites, pages, forms, portals, newsletters, social media pages, messaging channels and digital properties we operate (together, the " Website "), or otherwise communicate or do business with us. Roshwin provides legal-operations, legal-technology and related support services, including litigation support, contract management, compliance and legal digital transformation, delivered with the help of technology and artificial intelligence. Our team and clients are located in several countries. Two roles. (a) For personal data of website visitors, enquirers, subscribers, job applicants, business contacts and similar individuals, Roshwin decides why and how the data is used and acts as the "data fiduciary", "controller" or equivalent under applicable law. (b) For documents and data that clients give us to perform services (" Client Materials "), we generally act on the client's instructions as a "data processor", "service provider" or equivalent. Client Materials are governed by the applicable engagement letter, master services agreement, statement of work, confidentiality agreement or data processing agreement (together, " Client Agreement "). If this Policy conflicts with a Client Agreement, the Client Agreement prevails for that engagement. Scope. This Policy applies to the websites, domains and services of Roshwin and any subsidiaries or affiliates that operate them, and to personal data of website visitors, prospective and existing clients, business partners, vendors, event attendees, job applicants and other individuals who deal with us, whether the data is collected online or offline. Some features may have supplementary privacy notices that add to, or take precedence over, this Policy for that feature. Personal data of our own staff is handled under separate staff notices. By using the Website or contacting us, you acknowledge this Policy. Where the law requires your consent, we will ask for it separately and clearly. ### 2. Personal data we collect The data we collect depends on how you interact with us. It may include: - Contact and enquiry data: name, email address, phone or WhatsApp number, organization, job title, country, and the contents of your message or enquiry. - Business relationship data: details of proposals, meetings, engagements, invoices, payments and correspondence, and billing and tax details of client organizations. - Marketing and subscription data: newsletter or mailing-list subscriptions, preferences, consent records, events attended, and your interaction with our emails and content. - Careers and recruitment data: CV or resume, employment and education history, contact details, work authorization and references, and any other information you submit when applying for a role or internship. - Technical and usage data: IP address, browser and device type, operating system, language, pages viewed, time spent, referring and exit pages, approximate location, and cookie and similar-technology identifiers. - Communications data: records of emails, calls, video meetings, chats and messages (including WhatsApp and similar messaging services) between you and us. - Publicly available and third-party data: business contact information from professional networks, company websites, public registries, event lists and business-information providers, used for business outreach in line with applicable law. - Client Materials: documents, contracts, case files, regulatory records and other information shared by clients, which may include personal data of the client's employees, customers, counterparties, litigants or other individuals. We do not intentionally collect sensitive personal data through the Website. Please do not submit sensitive information (such as health, financial account, biometric or government identification numbers) through the Website or by unsecured channels. If a client needs us to handle such data, it will be handled under the Client Agreement and agreed safeguards. ### 3. How we use personal data We use personal data to: - respond to enquiries, prepare proposals and enter into and perform contracts; - deliver, manage, support and improve our services, including through the use of technology and AI-assisted tools; - communicate about engagements, invoices, updates, security and administrative matters; - send newsletters, insights, invitations, product and service announcements and other marketing communications, and conduct business outreach, as permitted by law and your choices; - operate, secure, analyze and improve the Website, content and user experience; - personalize your experience, for example by tailoring content and improving navigation, and seek feedback through customer-satisfaction surveys or market research; - evaluate job applications and manage recruitment, including sharing applications with recruitment agencies or staffing partners we engage, where appropriate; - monitor and, where permitted, record calls, video meetings, chats and similar interactions (including with the help of AI note-taking and transcription tools) for training, quality assurance, accurate records and evidence of transactions. We will tell you at the start where a call or meeting is being recorded and obtain consent where the law requires it; - detect, prevent and investigate fraud, abuse, security incidents and misuse; - comply with legal, tax, regulatory, audit, professional and contractual obligations, and establish, exercise or defend legal claims; and - carry out any other purpose that we describe at the time of collection or that is compatible with those purposes. ### 4. Legal basis and consent Depending on where you are and the law that applies, we process personal data on one or more of these grounds: your consent; performance of a contract or steps taken at your request before entering into one; our legitimate interests (for example, operating, securing and growing our business, provided these are not overridden by your rights); compliance with a legal obligation; and, under Indian law, the "legitimate uses" recognized by the Digital Personal Data Protection Act, 2023 and its Rules (" DPDP Act "), including where you voluntarily provide data for a specified purpose and do not indicate that you object to its use. Where processing is based on consent, you may withdraw consent at any time by writing to privacy@roshwin.ai or using an unsubscribe or opt-out link. Withdrawal does not affect processing done before withdrawal, and we may need to continue to process data where the law permits or requires it. ### 5. Marketing, newsletters, cold outreach and messaging We may contact you by email, telephone, SMS, WhatsApp or other messaging apps, social media or other channels with newsletters, insights, event invitations, service information and business outreach. We follow the marketing and anti-spam laws that apply to the recipient, which may include, depending on the location of the recipient, India's telecom and commercial communication rules, Canada's Anti-Spam Legislation (CASL), the US CAN-SPAM Act and Telephone Consumer Protection Act, the UK Privacy and Electronic Communications Regulations, EU and UK GDPR, and the laws of the UAE and other countries. Where the law requires prior consent (express or implied), we seek or rely on it and keep a record. Every marketing email will identify us and include a working unsubscribe mechanism; for messaging apps you can reply "STOP" or tell us you do not wish to be contacted. We will act on opt-out requests promptly and within the time required by law. Transactional and service messages about an existing engagement are not marketing messages and may continue after you opt out of marketing. We may use third-party platforms to send and manage communications, and we comply with those platforms' terms and policies, including WhatsApp's business messaging policies. Separate opt-in. Sending us an enquiry, partnership inquiry or talent network profile does not sign you up to a newsletter. If we offer a newsletter, you will be asked to opt in with a separate, unticked box, and we will record when and how you agreed. ### 6. Job Applicant Privacy Notice This notice explains how we handle personal data when you join our talent network on the Careers page, apply for a role or internship, or send us your CV by email (for example to careers@roshwin.ai ). It adds to the rest of this Policy. What we collect. Through the talent network form: your name, email address, country, experience level, area of interest and, if you choose, a professional profile link and a short note. We do not ask for a CV, identity documents or sensitive personal information on the website. If you later apply for a specific role, we may ask for your CV, employment and education history, references and work authorization, and interview notes will be kept. Why we use it. To assess your suitability for current and future roles, contact you about opportunities, arrange interviews, and meet our legal obligations. The legal basis is our legitimate interest in recruiting, steps you ask us to take before entering into a contract with you, and your consent where the law requires it. Who sees it. Only the people who need it for recruitment: the Roshwin recruitment team, and the hiring managers and interviewers involved in the relevant role. Our trusted service providers (such as email and hosting) process it on our behalf under confidentiality obligations. If we work with a recruitment agency for a particular role, we will tell you before sharing your details with that agency. We never sell applicant data or use it for marketing. How long we keep it. Talent network profiles are kept for 24 months from your last contact with us, and we may ask whether you would like to stay in the network. If you apply for a role and are not hired, we keep your application for 12 months after the recruitment process ends, so we can respond to questions and consider you for similar roles, and then delete it. If you are hired, your data moves into your staff record and is handled under our staff privacy notice. You can ask us to delete your data sooner at any time. No automated decisions. Recruitment decisions are made by people. We do not make hiring decisions based solely on automated processing, including AI tools. Where it is stored. Applicant data may be stored and accessed in India, Canada, the United States and other countries where we or our service providers operate, with the safeguards described in the International transfers section. Your choices. You can ask to see, correct or delete your applicant data, or leave the talent network, by writing to careers@roshwin.ai or privacy@roshwin.ai . Your other rights are described in the Your rights section. Recruitment fraud. We only contact candidates from an @roshwin.ai email address and never ask for payment at any stage of recruitment. ### 7. Cookies, analytics and similar technologies We use cookies, local storage and similar technologies to make the Website work, keep it secure, remember your choices and, only if you agree , understand how the Website is used so we can improve it. We do not use advertising or marketing cookies on the Website, and we do not use cookies to build advertising profiles. The Website uses these categories: - Strictly necessary (always on). Technologies needed for the Website to function and stay secure, including our hosting provider's security and delivery features and a small record in your browser's local storage (named roshwin-consent) that remembers your cookie choice for up to 12 months. These do not require consent and cannot be switched off in our cookie banner. - Analytics (off unless you agree). Google Analytics 4 , provided by Google LLC and Google Ireland Limited (" Google "). If you click Accept or switch on analytics in Cookie Settings, Google Analytics sets the first-party cookies _ga (distinguishes visitors, expires after 2 years) and _ga_VDT0574D5J (keeps session state, expires after 2 years). It collects information such as pages viewed, time on page, referring website, approximate location (city or country, derived from your IP address), device and browser type, screen size and language. Google Analytics 4 does not log or store full IP addresses. We have switched off Google Signals and advertising personalization, and we do not send names, email addresses or form contents to Google Analytics. Consent first. Google Analytics is not loaded until you give consent. If you decline, close the banner or do nothing, analytics stays off. We use Google Consent Mode so that, before or without consent, analytics storage and all advertising features remain denied. If your browser sends a Global Privacy Control signal, we treat it as a refusal of analytics and do not show you the banner, although you may still switch analytics on yourself in Cookie Settings. There is no universally accepted standard for browser "Do Not Track" signals, so unless the law requires otherwise, the Website relies on your banner choice and Global Privacy Control instead. Changing your mind. You can change or withdraw your choice at any time by clicking Cookie Settings at the bottom of any page. When you withdraw consent, we stop Google Analytics and delete its cookies from your browser. You can also block or delete cookies in your browser settings, or install Google's Analytics opt-out browser add-on (tools.google.com/dlpage/gaoptout). Withdrawing consent does not affect analytics collected before withdrawal. Google's role and retention. Google processes analytics data on our behalf as our processor or service provider under Google's data processing terms, and the data may be processed in the United States and other countries where Google operates (see the International data transfers section). We use Google Analytics data only in aggregated reports to understand how the Website is used. Event-level analytics data is retained in Google Analytics for no more than 14 months and is then automatically deleted. You can learn more about how Google uses data at policies.google.com/technologies/partner-sites. If we add any other non-essential tools in the future (for example, advertising, marketing-automation, chat or scheduling tools), we will update this Policy and our cookie banner and, where the law requires, ask for your consent first. Content embedded from third-party sites (for example videos, maps or social-media plugins), and sharing content to social networks at your request, may set additional cookies that we do not control, so please review those providers' policies. ### 8. Online advertising, social media and community features We do not allow third-party advertising on the Website. We may, however, use third-party platforms (such as search engines and professional or social networks) to promote our services on their sites. These platforms may use cookies, pixels and similar technologies to show relevant ads, to measure campaign performance or, in future, to reach people who have visited our Website. We will describe any such tools in our cookie information, ask for consent where the law requires it, and give you the opt-out choices that apply to you through your browser and the platform's own ad settings. We may offer social-media features, comment areas, forums, communities or similar collaboration tools. Content you post in them may be visible to others, inside and outside Roshwin, and is subject to the Terms of Service and the policies of the platform used. Social-media features may collect or share information about you depending on the feature, so please review the privacy settings and policies of the social networks you use. ### 9. Artificial intelligence and automated tools We use AI and other automated tools, supplied by us or by trusted third-party providers, to support document review, research, drafting, analysis, translation, summarization, communications, security and internal operations. Our approach is as follows: - Outputs generated with AI are reviewed by people before they are relied on in client deliverables, as appropriate to the engagement. - We do not use AI to make solely automated decisions about individuals that produce legal or similarly significant effects, unless the law allows it and appropriate safeguards are in place. - How AI tools may process Client Materials, including any restrictions on model training, retention and hosting, is set out in the applicable Client Agreement. We choose providers and configure tools with confidentiality and security in mind, and we require providers who handle personal data to be bound by appropriate confidentiality and data-protection obligations. - Information you submit on the Website (such as enquiry forms) may be processed by AI-assisted tools for routing, summarization and responding to your request. ### 10. Client Materials, hosting and jurisdiction-specific requirements We serve clients around the world. Our delivery operations are based in India, and our team members may work from other countries. Clients in different regions, including North America, the United Kingdom, the European Economic Area, the Middle East and elsewhere, may have specific requirements for data protection, confidentiality, localization or hosting. Those requirements are agreed with each client in the Client Agreement before we begin work, including the laws that govern the relationship, where data will be hosted, who may access it, how long it is kept, how incidents are notified, and any data processing or transfer terms (for example, standard contractual clauses). We will comply with the data-protection laws that apply to us and to each engagement as set out in the Client Agreement. Clients are responsible for telling us in advance about any hosting, localization or regulatory requirement that applies to their data, and for having a lawful basis to share Client Materials with us. ### 11. How we share personal data We do not sell, rent or lease personal data. We do not currently share personal data for cross-context behavioral advertising as those terms are defined in US state privacy laws; if that changes, we will update this Policy and provide any opt-out the law requires. We may share personal data with: - service providers and vendors acting on our behalf, such as hosting and infrastructure providers (including our website host), analytics providers (Google Analytics, only where you have consented), security providers, email, messaging and communication tools, productivity and collaboration suites (including Google Workspace), document-review and legal-technology platforms, AI and cloud providers, payment and accounting providers, recruitment tools and recruitment or staffing agencies; - clients and their authorized recipients , such as counsel, auditors, counterparties, regulators and data-room administrators, as the client directs; - affiliates, team members, contractors and professional advisers , including lawyers, accountants, auditors and insurers, who need the data for the purposes above and are bound by confidentiality; - authorities and other parties where required by law, court order or legal process, or where needed to protect rights, property, safety or security, or to investigate suspected unlawful activity; and - successors , in connection with a merger, acquisition, financing, restructuring or sale of assets, subject to appropriate safeguards. ### 12. International data transfers Roshwin works with clients, team members and service providers across countries. Personal data may therefore be transferred to, stored in, or accessed from India, Canada, the United States, the European Economic Area, the United Kingdom, the United Arab Emirates and other countries, which may have data-protection laws different from those of your country. Where the law requires safeguards for cross-border transfers, we use appropriate mechanisms, such as contractual clauses, consent, or other transfer tools recognized by the applicable law. For Google Analytics, transfers of data from the EEA, UK and Switzerland to the United States rely on the certification of Google LLC under the EU-US Data Privacy Framework (and its UK and Swiss extensions) and on the standard contractual clauses in the Google data processing terms. ### 13. Data retention We keep personal data only for as long as needed for the purposes described in this Policy, including to meet legal, tax, accounting, regulatory, contractual and professional requirements, resolve disputes and enforce agreements. Retention periods depend on the type of data and the engagement. Client Materials are kept, returned or deleted as the Client Agreement provides. Marketing data is kept until you opt out or the data becomes inactive. Talent network profiles are kept for 24 months from your last contact with us, and unsuccessful job applications for 12 months after the recruitment process ends, unless you ask us to delete them sooner or the law requires otherwise (see the Job Applicant Privacy Notice). Your cookie choice is remembered for up to 12 months, after which we ask again. Google Analytics data is kept as described in the Cookies section. When data is no longer needed, we delete or anonymize it. ### 14. Security and incidents We use reasonable administrative, technical and physical safeguards appropriate to the nature of the data, such as access controls, encryption in transit where available, confidentiality obligations for personnel, and vendor diligence. No system or method of transmission is completely secure, and we cannot guarantee absolute security. Please share confidential or sensitive material only through channels agreed with us. If we become aware of a personal data breach affecting data we handle, we will assess it and notify affected individuals, clients and regulators where and when the law or the Client Agreement requires. ### 15. Your rights Depending on your location and the law that applies, you may have some or all of these rights: - to know what personal data we hold about you and how it is used, and to get a summary or copy of it; - to correct, complete or update inaccurate or incomplete data; - to request erasure of data that is no longer needed or where you withdraw consent, subject to legal exceptions; - to restrict or object to certain processing, including direct marketing, and to withdraw consent; - to data portability, where applicable; - not to be subject to solely automated decisions with significant effects, where applicable; - to nominate another person to exercise your rights in the event of death or incapacity (under the DPDP Act); - to access grievance redressal, and to complain to a data-protection authority, such as the Data Protection Board of India, a supervisory authority in the EU, UK or Switzerland, the Office of the Privacy Commissioner of Canada or a provincial regulator, or a US state attorney general; and - not to be discriminated against for exercising privacy rights (where US state laws apply). To exercise a right, write to privacy@roshwin.ai . We may need to verify your identity, and in some cases you may authorize an agent to act for you. We will respond within the time required by applicable law. If your data is part of Client Materials, we may refer your request to the client, who decides how that data is used. Where the GDPR, UK GDPR or the Swiss Federal Act on Data Protection applies , you may exercise the rights above, and our legal bases are as described in section 4. Where Canadian law applies , you may access and challenge the accuracy of your personal information and withdraw consent, subject to legal restrictions. Where US state laws apply (including the California Consumer Privacy Act as amended by the CPRA), we do not sell personal data or share it for cross-context behavioral advertising or targeted advertising, we honor Global Privacy Control signals as an opt-out, and we do not use sensitive personal information in ways that would give rise to a right to limit. Where Indian law applies , you may raise a grievance with our contact below and, if you are not satisfied with the response, approach the Data Protection Board of India. These country-specific notes apply only where those laws apply to our processing. ### 16. Children The Website is intended for business users and is not directed to anyone under 18 years of age. We do not knowingly collect personal data from children. If you believe a child has given us personal data, please contact privacy@roshwin.ai and we will take appropriate steps, including deleting the data, and obtaining verifiable parental consent where the law requires it. ### 17. Third-party websites and services The Website may link to or embed third-party websites, social media, tools and content. We do not control them and are not responsible for their privacy practices. Please read their policies before you share personal data with them. ### 18. Changes to this Policy We may update this Policy from time to time to reflect changes in our practices, technology, services or the law. The "Last updated" date above shows the current version. Where the law requires, we will give notice of material changes or ask for fresh consent. If we intend to use your personal data for a materially different purpose from the one for which it was collected, we will tell you and, where required, give you the option to consent or decline before we do so. ### 19. Contact and grievance redressal For questions, requests or complaints about this Policy or our handling of personal data, contact: Privacy and grievance contact: Privacy Desk, Roshwin Private Limited, privacy@roshwin.ai Address: Plot No. 94, 3rd Floor, Pocket-10, Sector-13, Dwarka, New Delhi - 110078, India General enquiries: hello@roshwin.ai | Website: www.roshwin.ai We will acknowledge and respond to complaints within the time required by applicable law. If you are not satisfied, you may contact the data-protection authority that applies to you. Also read Terms of Service Questions? privacy@roshwin.ai --- # Terms of Service | ROSHWIN URL: https://roshwin.ai/terms-of-service Summary: The terms that govern access to and use of roshwin.ai and related websites operated by Roshwin Private Limited. Legal ## Terms of Service Roshwin Private Limited Last updated: 28 October 2026 Effective: 28 October 2026 On this page On this page - 1. About these Terms - 2. Our services and how engagements work - 3. Not a law firm; no legal advice - 4. Technology and AI-generated content - 5. Eligibility and use of the Website - 6. Accounts, features and additional terms - 7. Intellectual property - 8. Your submissions and feedback - 9. Client materials and confidentiality - 10. Communications and marketing - 11. Community features and user content - 12. Third-party links and services - 13. Disclaimers - 14. Limitation of liability - 15. Indemnity - 16. Suspension and termination - 17. Governing law - 18. Dispute resolution - 19. Electronic records and notices - 20. General - 21. Changes to these Terms - 22. Contact ### 1. About these Terms These Terms of Service (" Terms ") govern your access to and use of roshwin.ai and any related websites, pages, forms, portals, downloads, newsletters, tools and digital properties operated by Roshwin Private Limited (CIN U69100DL2026PTC466238), a company incorporated in India with its registered office at Plot No. 94, 3rd Floor, Pocket-10, Sector-13, Dwarka, New Delhi - 110078, India (" Roshwin ", " we ", " us " or " our ") (together, the " Website "). By accessing or using the Website, you agree to these Terms and to our Privacy Policy. If you use the Website on behalf of an organization, you confirm that you are authorized to bind that organization. If you do not agree, please do not use the Website. ### 2. Our services and how engagements work Roshwin provides legal-operations, legal-technology and related support services, such as litigation support, contract management, compliance support, regulatory research, due-diligence support, document review and legal digital transformation. The Website describes our services for general information only. It is not an offer capable of acceptance, and it does not create a client relationship, engagement or obligation to provide any service. Professional services are provided only under a separate written engagement letter, proposal, statement of work, master services agreement or similar contract signed or accepted by Roshwin (a " Client Agreement "). If these Terms conflict with a Client Agreement, the Client Agreement prevails for the services it covers. ### 3. Not a law firm; no legal advice Roshwin is not a law firm and does not practice law or provide legal advice or representation in any jurisdiction. Our services support clients and their legal counsel, in-house teams and advisers. Where a matter needs legal advice or representation, it should be obtained from a qualified lawyer licensed in the relevant jurisdiction. Content on the Website, including articles, insights, white papers, newsletters and social-media posts, is general information. It is not legal, regulatory, tax, financial or other professional advice, may not be current, and should not be relied on without advice suited to your circumstances. Contacting us or using the Website does not create a lawyer-client or other privileged relationship. ### 4. Technology and AI-generated content The Website and our services may use artificial intelligence and automated tools. AI-generated or AI-assisted output can be incomplete, inaccurate or out of date. Any such output on the Website is provided for general information. In our services, how outputs are reviewed and verified is set out in the Client Agreement, and clients remain responsible for decisions they make using our deliverables. ### 5. Eligibility and use of the Website The Website is intended for business users aged 18 or over who can form a binding contract. You agree to use the Website only for lawful purposes and in line with these Terms. You must not: - interfere with, disrupt, overload or attempt to gain unauthorized access to the Website, our systems or those of others; - scrape, harvest, crawl, copy, mirror or extract data or content from the Website by automated or manual means, except as permitted by law or by our written permission; - reverse engineer, decompile or attempt to derive source code or models from the Website or its tools; - upload or transmit malware, spam, unlawful, infringing, defamatory or harmful material; - impersonate any person or misrepresent your identity, authority or affiliation; - use the Website or its content to train, fine-tune or benchmark AI models or to build a competing product or dataset without our written permission; - use the Website in violation of applicable law, sanctions, export-control or third-party rights; or - submit information you do not have the right to share. ### 6. Accounts, features and additional terms We may add features to the Website, such as client or candidate portals, gated downloads, newsletters, event registrations, scheduling, chat or AI-powered tools. Some may need registration or have extra terms or notices. Those additional terms form part of these Terms for that feature. If you register, you must give accurate information, keep credentials secure and tell us promptly of any unauthorized use. You are responsible for activity under your account. ### 7. Intellectual property The Website and its content, including text, articles, graphics, logos, trade names, design, layout, software, templates and other materials, are owned by Roshwin or its licensors and are protected by intellectual-property laws. All rights not expressly granted are reserved. We grant you a limited, non-exclusive, non-transferable, revocable license to view the Website and to download or print content for your personal or internal business reference. You may not reproduce, distribute, publish, modify, sell, frame or create derivative works from Website content without our prior written permission, except as the law allows. You may share links to our public content and quote short extracts with attribution to Roshwin. ### 8. Your submissions and feedback If you send us enquiries, comments, suggestions, ideas or feedback through the Website or otherwise, you grant Roshwin a non-exclusive, worldwide, royalty-free, perpetual license to use them to operate, improve and develop our Website and services, without obligation to you. Personal data in your submissions is handled under our Privacy Policy. Please do not send confidential, privileged or sensitive information through the Website forms or unsecured email. Unless a Client Agreement or a signed confidentiality agreement says otherwise, information you send through the Website is not treated as confidential. ### 9. Client materials and confidentiality If you share documents or data with us for an engagement, you confirm that you have the right and any necessary authority and consents to do so. Website and email transmission may not be fully secure. Confidential or sensitive materials should be shared only through a secure channel agreed with us. Our handling of client materials, including confidentiality, hosting, security, retention and the use of AI tools, is governed by the Client Agreement and any confidentiality or data processing agreement between us. ### 10. Communications and marketing By giving us your contact details, you agree that we may contact you about your enquiry and our services. We may monitor or record calls, video meetings and chats with you, including with AI note-taking tools, for training, quality assurance and accurate records; we will tell you when a recording is made and obtain consent where the law requires it. Where you subscribe to newsletters or other communications, or where the law allows, we may send you marketing messages by email, messaging apps (including WhatsApp), telephone or other channels. You can opt out at any time by using the unsubscribe link, replying "STOP", or writing to privacy@roshwin.ai . Our marketing practices follow the laws that apply to the recipient, as described in our Privacy Policy. ### 11. Community features and user content If the Website offers comments, forums, communities, social features or other places where you can post content (" User Content "), you remain responsible for it and confirm that you have the rights to post it and that it does not infringe any law or third-party right. You grant Roshwin a non-exclusive, worldwide, royalty-free license to host, display, reproduce and distribute User Content in connection with the Website. Do not post unlawful, defamatory, obscene, discriminatory, confidential, privileged or misleading content, or content that includes another person's personal data without their permission. We are not obliged to monitor User Content but may remove or restrict any content or account at our discretion, including after receiving a complaint. If you believe content on the Website infringes your copyright or other rights, or is unlawful, write to hello@roshwin.ai with details of the content, your rights, and your contact information, and we will review the complaint and act as required by applicable law. ### 12. Third-party links and services The Website may contain links to, or integrate, third-party websites, tools and services. They are provided for convenience. We do not control or endorse them and are not responsible for their content, availability, terms, privacy practices or the products and services they offer. Your use of them is at your own risk and subject to their terms. ### 13. Disclaimers The Website and its content are provided on an "as is" and "as available" basis. To the fullest extent permitted by law, Roshwin disclaims all warranties and conditions, express, implied or statutory, including those of accuracy, completeness, timeliness, merchantability, fitness for a particular purpose, title, non-infringement and uninterrupted or error-free operation. We do not warrant that the Website will be secure or free from viruses or other harmful components, or that defects will be corrected. ### 14. Limitation of liability To the fullest extent permitted by law, Roshwin and its directors, officers, employees, contractors, affiliates and licensors will not be liable for any indirect, incidental, special, consequential, exemplary or punitive damages, or for any loss of profits, revenue, business, data, goodwill or anticipated savings, arising out of or in connection with the use of, or inability to use, the Website, whether in contract, tort (including negligence), statute or otherwise, even if advised of the possibility of such losses. This limitation applies to use of the Website and these Terms. Any liability arising from services provided by Roshwin shall be governed by the applicable Client Agreement. Nothing in these Terms excludes or limits liability that cannot be excluded or limited under applicable law. Some jurisdictions do not allow certain exclusions, so some of the above may not apply to you. ### 15. Indemnity You agree to indemnify, defend and hold harmless Roshwin and its directors, officers, employees, contractors and affiliates from any claims, liabilities, damages, losses and expenses (including reasonable legal fees) arising out of your breach of these Terms, your misuse of the Website, your submissions, or your infringement of any law or third-party right. ### 16. Suspension and termination We may suspend, restrict or end your access to the Website or any feature at any time, with or without notice, including where we reasonably believe it is needed for security, legal compliance, breach of these Terms or operational reasons. You may stop using the Website at any time. Provisions that by their nature should survive, including sections on intellectual property, submissions, disclaimers, liability, indemnity, governing law and dispute resolution, will survive. ### 17. Governing law These Terms and any dispute or claim arising out of or in connection with them or the Website (including non-contractual disputes) are governed by the laws of India, without regard to conflict-of-laws principles, unless a separate signed agreement says otherwise. ### 18. Dispute resolution Please first raise any dispute by writing to hello@roshwin.ai so that we can try to resolve it informally in good faith within 30 days. If the dispute is not resolved within that period, it will be finally settled by arbitration under the Arbitration and Conciliation Act, 1996 (as amended). The arbitration will be conducted by a sole arbitrator appointed by mutual agreement or, failing that, as the Act provides. The seat and venue of arbitration will be New Delhi, India , and the language will be English . The award will be final and binding. Subject to the above, the courts at New Delhi, India will have exclusive jurisdiction for any matter that is not arbitrable, for interim relief and for enforcement. Nothing here stops either party from seeking urgent injunctive relief from a competent court to protect its intellectual property or confidential information. Where mandatory consumer-protection or other law in your country give you rights that cannot be waived, those rights are not affected. ### 19. Electronic records and notices These Terms are an electronic record under the Information Technology Act, 2000 and rules made under it, and do not require a physical or digital signature. You agree that we may give you notices by posting them on the Website or by email to the address you provide, and that you may give us notice by email to hello@roshwin.ai or by post to our registered office. ### 20. General - Compliance. You will comply with all laws that apply to your use of the Website, including sanctions, export-control and anti-corruption laws. - Entire agreement. These Terms, our Privacy Policy and any additional terms for a feature are the entire agreement between you and Roshwin about the Website. - Severability. If any provision is held invalid or unenforceable, the rest remains in effect. - No waiver. A failure to enforce a provision is not a waiver of it. - Assignment. You may not assign these Terms without our written consent; we may assign them to an affiliate or successor. - Force majeure. We are not liable for failure or delay caused by events beyond our reasonable control. - No third-party rights. Except for the persons named in sections 14 and 15, no one else may enforce these Terms. - Language. These Terms are written in English, and the English version prevails over any translation. - Relationship. Nothing in these Terms creates a partnership, agency, employment or fiduciary relationship. ### 21. Changes to these Terms We may update these Terms from time to time. The "Last updated" date shows the current version. Changes take effect when posted. If you continue to use the Website after changes are posted, you accept the updated Terms. Where the law requires, we will give additional notice. ### 22. Contact Roshwin Private Limited Registered office: Plot No. 94, 3rd Floor, Pocket-10, Sector-13, Dwarka, New Delhi - 110078, India Email: hello@roshwin.ai | Privacy: privacy@roshwin.ai | Website: www.roshwin.ai Also read Privacy Policy Questions? privacy@roshwin.ai