Domain-Partitioned Hybrid RAG for Legal Reasoning: Toward Modular and Explainable Legal AI for India

Researchers developed a domain-partitioned hybrid RAG system with knowledge graphs specifically for Indian legal research, combining three specialized pipelines for Supreme Court cases, statutory texts, and penal codes. The system achieved a 70% pass rate on legal questions, nearly doubling the performance of traditional RAG-only approaches at 37.5%.