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The Cartographer
Evaluating AI for Law: Bridging the Gap with Open-Source Solutions
April 18, 2024 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Rohan Bhambhoria, Samuel Dahan, Jonathan Li, Xiaodan Zhu
arXiv ID
2404.12349
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.HC
Citations
11
Venue
arXiv.org
Last Checked
4 months ago
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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