AI for eDiscovery & Document Review

AI-assisted document review you can defend.

We build review tooling where every model call, prompt version and reviewer override is logged and reproducible, so your team can explain the process to opposing counsel and the court.

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Pilot: 4 weeks on a closed matter
Ideal for: Law firms, litigation support providers, corporate legal teams
Covers: Privilege, issue coding, privilege logs, redaction, ECA
Defensibility: Versioned prompts, QC sampling, reviewer sign-off

Speed is easy. Defensibility is the work.

Generative AI is moving into privilege screening, issue coding and privilege logs, and GenAI review is now often priced per document at roughly $0.11–0.50. But courts expect a process that can be explained and repeated.

We design review workflows that measure accuracy against human calls, log every decision and keep attorneys in charge of the final call.

Sources: ComplexDiscovery & EDRM, Winter 2026 eDiscovery Pricing Survey

What we build for review teams

First-pass privilege screeningEach document gets a proposed privilege call and a written reason a reviewer can check in seconds.

Issue codingDocuments tagged against your review protocol, with low-confidence items routed to people first.

Privilege log draftingDraft entries with date, author, recipients and basis for attorney review.

PII and PHI redactionDetection and proposed redactions for personal and health information, important in healthcare litigation.

Cited case analysisQuestions across the review set answered with document IDs, plus timelines and key-document lists.

Clear stages. You decide at the end of each.

Protocol

Turn your review protocol into model instructions and a test set.

1 week

Side-by-side

Run AI review on a closed matter beside the original human calls.

2 weeks

Report

Recall, precision, overturn rate, cost and a defensibility memo.

1 week

Live use

Use on new matters with QC sampling and reviewer sign-off.

ongoing

What teams ask us about this.

Does the AI make final privilege decisions?

No. It proposes calls with reasons. Attorneys decide, and their overrides are recorded and used to improve the next round.

Can it run inside our review platform?

We integrate through your platform's APIs and exports, or run as a separate service that writes coding back.

How do you protect client data?

Processing runs in your cloud tenant or a dedicated environment, with no training on your data and full access logging.