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人工智能
2025-03-01

RAG Pipeline for Legal Contracts

CASE STUDY

The Challenge

Generic LLMs frequently hallucinate legal definitions or cross-reference inapplicable jurisdictions. The objective was building an enterprise pipeline that answers contract questions with exact paragraph and page citations.

Technical Architecture

  • Semantic Chunking: Custom AST chunker for PDF contracts preserving section headers, definitions, and clause hierarchies.
  • Hybrid Vector + BM25 Search: Reciprocal Rank Fusion (RRF) combining dense embeddings with sparse keyword search for clause numbering.
  • Factuality Verifier: Secondary lightweight verification agent cross-checking generated claims against retrieved context before outputting to the user.