LexRAG
Reduced contract review time by 75% while hitting 90% risk detection accuracy.
2023–2024
Role
System Architecture & AI Development
LangChain · Pinecone · FastAPI · React
The Challenge
Law firms and corporate legal teams were drowning in contracts. Manual review was slow, expensive, and error-prone. Critical risks were being missed in dense legal language. Due diligence processes took weeks. Legal teams needed AI that understood clauses, identified risks, and provided evidence-backed answers—not generic summaries.
Strategy & AI Leverage
Build an AI-powered legal intelligence platform that doesn't just search contracts—it understands them. LexRAG operates at the clause level, linking risks to precedents, and providing litigation context.
We didn't just build a document search. We built evidence-backed legal reasoning at the clause level.
Building It
LexRAG uses customized legal NER models for clause extraction and LangChain for RAG orchestration. It features clause-aware search, contract risk scoring, and version-diffing for material changes.
Results & Impact
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Reduction in review time
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Risk detection accuracy
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Faster due diligence
LexRAG has been adopted by 12 law firms, saving millions in review costs and ensuring zero missed risks in primary deployments.