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arXiv · 2404.12349

Evaluating AI for Law: Bridging the Gap with Open-Source Solutions

Rohan Bhambhoria·Samuel Dahan·Jonathan Li·Xiaodan Zhu
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Abstract

This study evaluates the performance of general-purpose AI, like ChatGPT, in legal question-answering tasks, highlighting significant risks to legal professionals and clients. It suggests leveraging foundational models enhanced by domain-specific knowledge to overcome these issues. The paper advocates for creating open-source legal AI systems to improve accuracy, transparency, and narrative diversity, addressing general AI's shortcomings in legal contexts.

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Rohan Bhambhoria, Samuel Dahan, Jonathan Li, Xiaodan Zhu. 2024-04-18. Evaluating AI for Law: Bridging the Gap with Open-Source Solutions. https://arxiv.org/abs/2404.12349

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