Solution
For litigation teams, in-house counsel, and legal operations: a defensibly culled, relevance-ranked review population from terabytes of email, chat, and file data.
The problem
Email archives, Slack and Teams exports, mobile backups — reading it all linearly stopped fitting inside any real deadline or budget years ago.
Large review teams grinding through mundane documents miss the thread that matters. Fatigue is a property of people at scale, however careful.
A privileged communication that leaves in a production cannot be unproduced. Screening with tired eyes is a bet you eventually lose.
The product, not a promise
How it works
PSTs, chat exports, mobile backups, and cloud collaboration data ingest with custody preserved.
Deduplication, email threading, and near-duplicate detection shrink the review population immediately.
Concept clustering and relevance ranking put the documents most likely to matter in front of reviewers first.
Potentially privileged communications are flagged and segregated for focused second-tier review.
Productions ship with automated reports documenting culling criteria and search methodology.
Who it's for
Review attorney
Litigation partner
Legal ops & IT
Modern matters arrive as terabytes: email archives, Slack and Teams exports, mobile backups, cloud drives. Reading it all linearly stopped fitting inside any real deadline or budget years ago, and large review teams grinding through mundane documents miss context anyway — fatigue is a property of humans at volume. The working alternatives are defensible automation or sampling luck.
The engine ingests the full collection while preserving chain of custody for every file. Culling starts immediately: exact duplicates removed, email threads collapsed so each conversation is read once, near-duplicates grouped, conceptually similar documents clustered. The reviewable population shrinks drastically before a single attorney hour is spent, and password-protected or corrupt files are segregated for technical handling instead of silently vanishing from the record.
Early case assessment stops being a weeks-long dig. Communication patterns, key actors, and dominant topics are visible within hours of collection — enough to judge case viability and settlement posture while options are still open. Relevance ranking puts the documents most likely to matter at the front of the review queue, and potentially privileged attorney-client communications are flagged and walled off for focused second-tier review: the difference between a privilege log and a privilege waiver.
Everything the engine does is designed to be examined by opposing counsel. Culling criteria, search methodology, and ranking decisions are captured in automated audit reports; custody is traceable from collection to production; and production decisions remain with the legal team — the engine narrows, ranks, and documents, and humans decide what leaves the building. Multi-terabyte class actions and regulatory inquiries run on the same machinery as routine matters, without the review-team surge.
Objections, answered
It is built to be examined: culling criteria, search methodology, and ranking decisions are captured in automated audit reports, and custody is traceable for every file from collection to production. The record answers before opposing counsel asks.
Yes. Culling rules, privilege screens, review tiers, and production formats are configured per matter to the governing protocol — the engine enforces the agreed methodology instead of improvising one.
Potentially privileged attorney-client communications are flagged and segregated before anything approaches production, then pass through focused second-tier human review. Nothing leaves without the legal team's sign-off.
Collections ingest as delivered — PSTs, chat exports, mobile backups, cloud drives. Culling runs immediately, the early-case view is available within hours, and the review queue opens ranked from day one.
Watch a raw email-and-chat collection get culled, clustered, and ranked into a defensible review queue, live.
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