AI RESEARCH

MAP-Law: Coverage-Driven Retrieval Control for Multi-Turn Legal Consultation

arXiv CS.AI

ArXi:2605.01486v1 Announce Type: new Legal consultation is a high-stakes, knowledge-intensive task that requires agents to identify relevant legal issues, retrieve authoritative, and determine when evidence is sufficient for a recommendation. Although retrieval-augmented generation has improved grounding in legal question answering, many multi-turn legal agents still rely on fixed retrieval depth or coarse heuristic control. This often leads to either insufficient for key legal elements or excessive retrieval that increases context burden and weakens answer focus.