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.
The challenge
Volumes keep rising, deadlines do not move, and a rushed protocol creates rework.
Within 24 hours, first calibrated work product for your feedback
Workflow models our teams are expert in, from linear and TAR to sample-based QC and GenAI
Data trend insights shared with counsel throughout the review
Attorney lead from scoping to close
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.
Teams that pair a matter type with an industry. Pods scope the work, shape the workflow and then act as QC.
Linear, active learning, GenAI first pass or a hybrid, selected for the matter and deployed on your platform or your vendor's.
We sample across the whole population, not only the documents left unreviewed, and share data insight with counsel as the review runs.
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.
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.
Pod and counsel align on scope, issues and protocol before any document is coded.
We recommend the workflow that fits the matter and deploy it on your platform.
Protocol or AI instructions are tested on samples, with your feedback within 24 hours.
The team ramps to the deadline, with pod members acting as QC.
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
Pods pair the matter with the industry, so the people shaping your review have seen it before.
Matter types, for example
Industries, for example
Workflows we design and deploy
The attorney who scopes your work shares pricing up front. These are the models that typically suit litigation document review.
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.
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.
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.
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.
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.
Why the team reviewing your documents should understand your case before it opens the first one, and how to build that into the workflow.
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.
Source-linked, human-validated case chronologies built from thousands of documents, by whole case or by issue, claim or party.
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.
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.
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