AI E-Discovery & Document Review
AI platform for electronic discovery in litigation — processing millions of documents, identifying relevant evidence, privileged material, and key themes in hours instead of weeks, at 10% of traditional cost.
Problem Solved
Document review is 70% of litigation costs. Manual review costs $1-$3 per document. Cases involve millions of documents. First-pass review by contract attorneys has 30% error rate. E-discovery costs average $18K per GB of data.
Target Audience
Litigation law firms, corporate legal departments, government agencies, insurance companies in litigation
Revenue Model
$5-$15 per GB processed. Platform fee at $500-$2K/month. Revenue target: $500K-$5M ARR by year 2.
Key Features to Build
- AI document classification and relevance scoring
- Privilege detection and log generation
- Key document and hot doc identification
- Timeline and relationship visualization
- Court-defensible AI methodology reporting
Known Competitors
Why Now — Market Timing
Litigation data volumes growing 25% annually. AI review accuracy surpassed human reviewers (studies show 90%+ vs 60-80%). Remote litigation normalized e-discovery. Cost pressure forcing firms to adopt AI.
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