Optimize RAG Pipeline for Legal Documents

Given a corpus of 10,000 legal contracts, build a Retrieval-Augmented Generation pipeline that accurately answers natural language questions about specific clauses, obligations, and deadlines. The system must handle cross-document references, resolve ambiguous pronouns to correct entities, and provide exact source citations (document ID + page number) for every answer.