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

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

URL: http://arxiv.org/abs/2404.12349v1
Date: Thu, 18 Apr 2024 17:26:01 GMT
Title: Evaluating AI for Law: Bridging the Gap with Open-Source Solutions
Authors: Rohan Bhambhoria, Samuel Dahan, Jonathan Li, Xiaodan Zhu,
Abstract summary: This study evaluates the performance of general-purpose AI, like ChatGPT, in legal question-answering tasks. It suggests leveraging foundational models enhanced by domain-specific knowledge to overcome these issues.
Score: 32.550204238857724
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
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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