Use Case
AI-Powered Due Diligence Document Review
Speed up M&A and investment due diligence with AI that analyzes entire data rooms in hours. DiscoverLex processes thousands of contracts, financials, and corporate records — flagging risks, anomalies, and missing documents with full citation trails.
10M+
Page Capacity
< 4hrs
To First Insight
40+
File Formats
2-Pass
AI Verification
The Challenge
Why Does Traditional Due Diligence Fall Short?
M&A due diligence requires reviewing thousands of documents under tight deal timelines. A typical data room contains 50,000 or more documents spanning contracts, corporate records, financials, intellectual property filings, employment agreements, and regulatory correspondence. Deal teams must identify material risks, missing documents, and hidden liabilities across these massive collections — often in weeks, not months. Traditional review relies on junior associates and paralegals manually reading through documents, leading to inconsistent quality, missed issues buried in appendices, and ballooning costs that can exceed $200,000 per transaction.
50,000+
Documents in a typical M&A data room
4-6 weeks
Average manual due diligence timeline per deal
$200K+
Typical cost of manual due diligence review per transaction
Pain Points Deal Teams Face
- !Data rooms with 50,000+ documents spanning dozens of categories and formats
- !Tight deal timelines measured in weeks, not months — delays kill deals
- !Material risks buried in appendices, exhibits, and amendment schedules
- !Multiple workstreams reviewing simultaneously with no unified view
- !Inconsistent review quality across team members and outside counsel
- !Missing documents and gaps in the record go undetected until closing
The Solution
How Does AI Transform Due Diligence Review?
DiscoverLex replaces the manual, document-by-document review process with an AI-powered pipeline that ingests, indexes, and analyzes your entire data room — delivering actionable insights in hours.
- 1
Upload the Entire Data Room
Upload documents in any of 40+ supported formats — PDF, DOCX, XLSX, TIFF, scanned images, and more. Our production-grade multi-engine OCR pipeline reliably processes typed text, handwritten notes, and degraded scans. Parallel processing handles the full data room with consistent throughput, preserving folder structure and document metadata throughout.
- 2
AI Indexes Contracts, Financials, and Corporate Records
Once ingested, AI builds a semantic index of every document and automatically categorizes by type — contracts, corporate governance documents, financial statements, IP filings, employment records, regulatory correspondence. Entity extraction identifies parties, dates, monetary values, and obligations across the entire collection.
- 3
Query Across All Documents in Plain English
Your deal team asks questions in natural language. Instead of manually searching folder by folder, attorneys type queries like "find all agreements with change-of-control clauses" or "show me indemnification caps above $5 million" or "which contracts assign IP rights to third parties?" Semantic search understands legal concepts and returns relevant passages ranked by confidence.
- 4
AI Flags Anomalies, Missing Documents, and Contradictions
DiscoverLex cross-references documents across your data room and flags anomalies — contracts referenced in board minutes but missing from the data room, financial figures that conflict between statements and underlying agreements, or non-standard terms that deviate from the rest of the portfolio. Every finding comes with full citation trails linking to source documents and page numbers.
Want to see all five core platform capabilities? Explore the full feature set.
Key Benefits
Why Deal Teams Choose DiscoverLex
Faster Deal Execution
Complete data room analysis in hours instead of weeks. Get first insights within 4 hours of ingestion, allowing deal teams to identify red flags before competitors finish their first-pass review.
Reduced Risk of Missed Issues
AI reviews every document, every appendix, every exhibit. No more relying on human stamina to catch material issues buried on page 47 of an amendment schedule.
Consistent Quality
AI applies the same analytical rigor to document 50,000 as it does to document 1. Eliminate reviewer variance and ensure every workstream operates against the same indexed knowledge base.
Significant Cost Savings
Replace large manual review teams with AI-powered analysis. Enterprise clients typically reduce due diligence review costs by 60-80% compared to traditional staffing models.
Real-World Impact
What Results Can Deal Teams Expect?
Here is how AI-powered due diligence compares to the traditional manual process for a typical mid-market M&A transaction.
Before: Manual Due Diligence
Traditional data room review process
- 4-6 weeks for initial review across all workstreams
- Documents reviewed in silos — no cross-workstream visibility
- Missing documents discovered late in the process, or at closing
- Material risks buried in appendices go undetected
- Inconsistent categorization across reviewers and outside counsel
- $200,000+ per transaction in reviewer staffing costs
After: DiscoverLex AI Due Diligence
AI-powered data room intelligence
- First AI-powered insights within 4 hours of data room upload
- Unified semantic index spans all documents across every workstream
- Automatic gap detection flags missing documents and references
- AI reviews every appendix, exhibit, and amendment schedule
- Consistent categorization and extraction across the full data room
- 60-80% reduction in due diligence review costs per transaction
Deal teams using DiscoverLex report 60-80% faster due diligence cycles with 2-pass AI verification and full citation coverage — identifying risks that manual review consistently misses.
Get Started
See AI Due Diligence in Action
Schedule a live demo with your own data room documents or explore our pricing to find the right plan for your deal team.
Need to understand pricing first? View pricing plans.