Client & Enterprise Challenge
Legal due diligence teams manually reviewed thousands of complex 100+ page merger contracts. Standard vector search failed to capture multi-hop entity relationships across amendment clauses.
The Technical Solution & Architecture
Rohit built a hybrid GraphRAG architecture combining Qdrant vector search with Neo4j entity knowledge graphs and Cohere Rerank v3 cross-encoders, mapping inter-contract liabilities deterministically.
Verified Quantifiable Business Metrics
78% Faster Audits
Reduced contract review duration from 14 days to under 3 days per M&A transaction.
100% Entity Precision
Mapped clause dependencies across 5,000+ contracts with zero hallucinations.
Zero Omission Rate
Identified 100% of high-risk indemnification clauses during validation testing.
Executive Client Review
"Rohit's GraphRAG platform revolutionized our M&A contract audits. The entity graph reasoning catches subtle legal liabilities that vector search alone would miss."
— Executive Leadership Team, Corporate Legal Advisory & M&A Firm
Want Similar Results for Your Organization?
Schedule a 1-on-1 technical scoping session directly with AI & Data Science Consultant Rohit.
Lead Architect
Rohit
AI & Data Science Consultant
2+ Decades AI ExperienceBuilding neural networks since 2004 at IIT Roorkee (mentored by Dr. Sunil Padhi, HOD Electrical Dept) and Unix CDR automation scripts at Xalted Bengaluru in 2007 (mentored by Srinivas Sir). Specializing in Agentic AI, Enterprise RAG, and MLOps.
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