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AI Research
arXiv CS.AI·May 27·5 min read
Maat: The Agentic Legal Research Assistant for Competition Protection
TL;DR
Competition law researchers waste time manually reviewing thousands of cases to find precedents and assess merger legality, but existing AI assistants like Claude and ChatGPT lack specialized legal domain knowledge and fail to cite official sources accurately. Maat is a specialized agentic legal research assistant built to automate competition law analysis with domain expertise and proper citation.
✦ Why It Matters
Engineers can build specialized AI agents for regulated domains by combining domain training with structured citation and retrieval systems.
Key Takeaways
- Utilize Maat for specialized competition law research tasks.
- Leverage Maat's ability to provide reliable citations.
- Incorporate web search capabilities for comprehensive coverage.
- Access the training dataset on GitHub for further exploration.
How It Works
Maat operates as a ReAct agent, coordinating various tools to handle different aspects of legal research. It employs Retrieval-Augmented Generation (RAG) to ensure that its findings are grounded in official legal sources, enhancing the reliability of the information provided.
When faced with ambiguous queries, Maat prompts users for clarification, ensuring that the research process remains focused and accurate.