1,400+ pages reviewed per night. Clause extraction in minutes vs hours. 95% accuracy on risk flagging.
Document review is the single largest consumer of paralegal and junior-associate time at every litigation and transactional firm. A mid-size discovery production can run to tens of thousands of pages. What a partner needs summarized in an hour, your paralegals and junior associates need weeks, sometimes months, for first-pass review. Studies show human reviewers miss 20 to 40 percent of relevant documents during first-pass review, and inter-reviewer consistency rarely exceeds 60 percent.
On the transactional side, every contract your firm touches requires the same meticulous clause-by-clause analysis. A commercial lease, a software licensing agreement, an M&A purchase agreement, each needs cross-referencing against internal definitions, comparison against market standards, identification of risk-shifting language, and deviation detection from the client's negotiating position. Associates develop review fatigue by the third NDA of the day. Critical provisions get missed: indemnification caps that do not match the term sheet, non-compete clauses exceeding jurisdictional enforceability limits, automatic-renewal provisions buried in boilerplate.
The risk calculus is asymmetric. Missing a favorable clause costs the client a negotiating opportunity. Missing an unfavorable clause can cost millions. A single uncaught unlimited-liability provision in a vendor agreement or a missed IP-assignment ambiguity in an employment agreement can generate litigation that dwarfs the original transaction value.
David is your AI Document Review & Contracts Analyst. For litigation, he reviews discovery documents at scale, tagging privilege, identifying relevant exhibits, generating privilege logs with Bates numbers. For transactional work, he compares contracts against your firm's approved clause library, flags deviations, extracts key provisions, and drafts redline suggestions with margin notes explaining market-standard positions. Partners see a clean risk report, not a 120-page contract.
Each step is automated. David only escalates when human judgment is required.
He applies OCR to image-based documents, identifies each document or contract type, and parses content into a structured taxonomy: privilege indicators for discovery, clause categories for contracts.
For discovery: David classifies every document as responsive, non-responsive, or requiring human review, then runs privilege detection across all responsive documents based on attorney name lists, domain patterns, and content indicators. For contracts: David compares each clause against the firm's approved clause library and market-standard benchmarks, flagging deviations and missing provisions.
For discovery, David generates a review dashboard with document volumes, key clusters, and a preliminary privilege log with Bates numbers. For contracts, an executive risk summary with clause-by-clause analysis, risk ratings (high/medium/low), and suggested redline markup with margin notes.
David incorporates attorney feedback into the firm's clause library, updating risk parameters and privilege-detection rules so future reviews reflect the firm's evolving positions and risk tolerances.
David monitors DocuSign for execution status, logs the final executed version to the matter file in Clio, and sets calendar reminders for key dates: renewal deadlines, option-exercise periods, termination-notice windows, and milestone deliverables.
David sends a daily review digest: pages reviewed, privilege flags, risk items identified, contracts analyzed, and pending attorney decisions. The litigation partner reads it in 60 seconds.
Clear boundaries. David works autonomously within defined limits and escalates everything else.
David connects to the platforms you already use. No new software to learn.
David is deployed gradually, with measurable checkpoints at every stage.
Monitoring mode first, then a gradual rollout.
Pilot begins with a single active litigation matter of at least 5,000 pages. Weeks 1-2, David runs first-pass review in parallel with the firm's existing manual process, and every determination is validated against a reviewer before production deployment.
These AI employees share data and coordinate with David to cover your full legal operation.
Start with a 90-minute discovery session. We evaluate whether David is the right fit for your workflows and show you exactly what changes.