Evaluating AI for Law: Bridging the Gap with Open-Source Solutions
<|reference_start|>Evaluating AI for Law: Bridging the Gap with Open-Source Solutions: 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.<|reference_end|>
@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},
    journal={arXiv preprint arXiv:2404.12349},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.12349},
    primaryClass={cs.AI cs.HC}
}