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What is Case-Based Legal Arguments with LLMs about?

This working paper explores the use of large language models (LLMs) to generate case-based legal arguments by employing a prompt-engineering strategy that follows established argument schemes. The authors demonstrate the feasibility of LLMs producing structured legal arguments through a 3-ply argument scheme involving a point, response, and rebuttal, using a dataset of trade secret cases. The paper discusses the methodology, related work, and the potential implications for legal reasoning and outcome predic

Author

Muhammad Shahroz

Language

EN