
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.
AI-assisted fact timelines
Source-linked, human-validated case chronologies built from thousands of documents, by whole case or by issue, claim or party.

The challenge
Case facts are scattered across thousands of documents, and nobody has time to line them up.
Entry checked against its source document
One master timeline or separate timelines by issue
Fields chosen by your team
Each event traceable back to the record
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.
One master timeline, or separate timelines by issue, claim or party.
Include or exclude the fields that matter to your team, such as people, dates and events.
Every entry is checked against its source document before it reaches you.
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.
Issues, parties, date range and the data points each entry must carry.
Events, actors and dates are drawn from the record at scale.
Each entry is verified, contextualised and linked to its source.
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
The attorney who scopes your work shares pricing up front. These are the models that typically suit chronology creation.
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.
Yes. Chronologies are refined as productions come in, so the timeline grows with the matter rather than being rebuilt.

Specialist pods design, calibrate and run defensible document review on your platform, combining linear, active learning and GenAI first-pass workflows.

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.
Share the documents and the issues. We return a source-linked, human-validated chronology your case team can build strategy on from day one.
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