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

Rohan Bhambhoria, Samuel Dahan, Jonathan Li, Xiaodan Zhu
4/18/2024
cs.AIcs.HC

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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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@article{bhambhoria2024evaluating,
  title  = {Evaluating AI for Law: Bridging the Gap with Open-Source Solutions},
  author = {Rohan Bhambhoria and Samuel Dahan and Jonathan Li and Xiaodan Zhu},
  year   = {2024},
  eprint = {2404.12349},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2404.12349v1}
}

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