Use Case
AI-Powered Litigation Document Review
Process millions of pages of discovery in hours, not months. DiscoverLex combines semantic AI search, relationship mapping, and contradiction detection to give litigation teams cited answers from massive document sets — with full audit trails.
10M+
Page Capacity
< 4hrs
To First Insight
2-Pass
AI Verification
40+
File Formats
The Challenge
Why Is Traditional Document Review Failing?
Modern litigation routinely generates document sets measured in the millions of pages. A single commercial dispute can produce 2 to 5 million pages of discovery material spanning emails, contracts, financial records, internal memoranda, and digital communications. Traditional document review relies on teams of contract attorneys performing linear, keyword-based searches across these massive collections. The result is a process that takes 6 to 8 weeks, costs upward of $60,000 per month in reviewer time alone, and still misses critical evidence because keyword search cannot understand context, intent, or the relationships between documents.
6-8 weeks
Average manual review timeline for a mid-size case
$60K+/mo
Typical cost of contract reviewer staffing per matter
2-5M pages
Common discovery volume in commercial litigation
Pain Points Legal Teams Face Daily
- !Keyword search misses documents that use different terminology for the same concepts
- !Relationships between entities, dates, and events stay hidden across thousands of files
- !Contradictions between witness statements and contemporaneous documents go undetected
- !Inconsistent reviewer categorization leads to privilege review failures
- !Linear scaling means doubling the documents doubles the cost and timeline
- !Critical deadlines slip because review cannot keep pace with production volume
The Solution
How Does AI Transform Litigation Document Review?
DiscoverLex replaces the linear, keyword-dependent review process with an AI-powered pipeline that processes, indexes, and analyzes your entire discovery set in a fraction of the time.
- 1
Ingest Your Entire Discovery Set
Upload documents in any of 40+ supported formats — PDF, DOCX, TIFF, scanned images, email archives, and more. Our production-grade multi-engine OCR pipeline reliably processes typed text, handwritten notes, faxes, and degraded scans that defeat single-engine tools. Parallel processing handles millions of pages with consistent throughput, extracting metadata including dates, parties, and document types automatically.
- 2
AI Indexes and Maps Relationships
Once ingested, AI builds a semantic index of your document set and maps relationships between people, organizations, dates, monetary values, and events across every document. Entity extraction identifies connections that keyword search would never surface — like finding every document where a specific executive discussed a particular transaction, even when the transaction is referred to by different names.
- 3
Search in Plain English
Your team asks questions in natural language. Instead of constructing Boolean keyword queries, attorneys type questions like "What did the CFO know about the revenue recognition change before Q3?" Semantic search understands legal concepts, context, and intent — returning relevant passages from across the entire document set, ranked by confidence and relevance.
- 4
Get Cited Answers with Contradiction Flags
Every answer comes with full citation trails linking back to specific documents and page numbers. The AI cross-references facts across your corpus and automatically flags contradictions between documents — such as deposition testimony that conflicts with contemporaneous emails. Deep-dive analysis synthesizes evidence from multiple sources into comprehensive, verifiable answers.
Want to see all five core platform capabilities? Explore the full feature set.
Key Benefits
Why Litigation Teams Choose DiscoverLex
Hours, Not Weeks
Process millions of pages and run your first AI-powered searches within 4 hours of beginning ingestion. No more 6-8 week review timelines holding up case strategy.
Every Answer Cited
Every result links to source documents and page numbers. Full citation trails mean every finding is defensible, verifiable, and ready for court.
10-20x ROI vs Manual
Replace hundreds of hours of contract reviewer time each month. Enterprise clients typically see 10 to 20 times return on investment compared to traditional staffing models.
Enterprise Security
Built to SOC 2 Type II standards. End-to-end encryption. Tenant isolation. On-premise deployment available. Your documents never leave your secure environment.
Real-World Impact
What Results Can Litigation Teams Expect?
Here is how AI-powered document review compares to the traditional manual process for a typical mid-size commercial litigation matter.
Before: Manual Review
Traditional document review process
- 6-8 weeks for initial review cycle
- Keyword search returns thousands of false positives
- Reviewer inconsistency causes privilege clawback risk
- Relationships between entities found by chance, if at all
- Contradictions across documents go undetected
- $60,000+ per month in contract reviewer staffing
After: DiscoverLex AI Review
AI-powered litigation document intelligence
- First AI-powered searches within 4 hours of ingestion
- Semantic search understands legal concepts and context
- Consistent AI categorization eliminates reviewer variance
- Automatic relationship mapping across the entire corpus
- Contradiction detection flags conflicting statements
- 200+ hours of reviewer time saved per month, per matter
Litigation teams using DiscoverLex report saving 200+ hours per month of manual review time while achieving 2-pass AI verification and full citation coverage across every AI-generated answer.
Get Started
See AI Document Review in Action
Schedule a live demo with your own documents or explore our pricing to find the right plan for your litigation practice.
Need to understand pricing first? View pricing plans.