Maat

Maat: ReAct-Based Agentic Legal Research Assistant for Competition Law

Maat is a ReAct agent designed specifically for competition law research, orchestrating tools for RAG-based retrieval, web search fallback, and citation generation. Built iteratively with domain experts, it addresses hallucination and citation gaps found in general assistants (Claude, ChatGPT) and legal-specific models (SaulLM-7B, LegalGPT). Maat significantly outperforms baselines on case-specific tasks and matches top baselines on theoretical questions. The evaluation dataset is publicly released on GitHub.