David Reviewed 1,400 Pages of Discovery Overnight, Flagged 3 High-Risk Clauses in the Meridian Contract, and Had the Redline Ready Before Opposing Counsel's Response Deadline
1,400+ pages reviewed per night, clause extraction in minutes vs hours, 95% accuracy on risk flagging
The problem
Document review is the single largest cost center in litigation, and contract review is the most error-prone task in transactional practice. A single commercial dispute can generate 50,000 to 500,000 pages of potentially responsive documents. At a manual review rate of 40 to 60 pages per 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 one 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.
How it works
How David works, step by step
Each step is automated. David only escalates when human judgment is required.
David ingests the full document set from iManage, applies OCR to image-based files, identifies the document or contract type, and parses content into 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
David generates a structured output: for discovery, 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, updates 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
What David handles vs. what stays with you
Clear boundaries. David works autonomously within defined limits and escalates everything else.
- ✓ David ingests the full document set from iManage, applies OCR to image-based ...
- ✓ For discovery: David classifies every document as responsive, non-responsive,...
- ✓ David generates a structured output: for discovery, a review dashboard with d...
- ✓ David incorporates attorney feedback into the firm's clause library, updates ...
- ■ David never makes final privilege determinations — every potentially privileged document is reviewed by a qualified attorney
- ■ All redline suggestions are presented as tracked recommendations for attorney decision-making — David never edits contract language directly
- ■ David does not assess the strategic significance of documents — identifying a "hot document" for deposition preparation requires human legal judgment
- ■ Redaction decisions for sensitive personal information, trade secrets, or confidential business information require attorney approval
- ■ David does not communicate with opposing counsel or make representations about production completeness
Integrations
Works inside your existing tools
David connects to the platforms you already use. No new software to learn.
Implementation
From zero to David
David is deployed gradually with measurable checkpoints at every stage.
- ✓ iManage workspace credentials and document-type classification mapping
- ✓ Firm's standard review protocols and clause library templates
- ✓ Attorney and staff name/domain lists for privilege detection
- ✓ Clio matter data for cross-referencing deal terms and client positions
- ✓ Historical review data from prior matters for model calibration (minimum 3 completed reviews)
Pilot begins with a single active litigation matter with at least 5,000 pages. Weeks 1-2 David runs first-pass review in parallel with the firm's existing manual process.
Your AI team
Works alongside David
These AI employees share data and coordinate with David to cover your full operation.
Deploy David for your legal operations
Start with a 90-minute discovery session. We will assess whether David is the right fit for your workflows and show you exactly what changes.