Lawyers Should Not Trust AI: A call for an Open-source Legal Language Model

8 Pages Posted: 27 Oct 2023

See all articles by Samuel Dahan

Samuel Dahan

Queen's University - Faculty of Law; Cornell Law School

Rohan Bhambhoria

Queen's University

David Liang

Queen's University - Faculty of Law

Xiaodan Zhu

Queen's University

Date Written: August 28, 2023

Abstract

Generalized AI like ChatGPT cannot and should not be used for legal tasks. It presents significant risks for both the legal professions as well as litigants. However, domain-specific AI should not be ruled out. It has potential for legal research as well as access to justice. In this paper we call for the development of an open-source and distributed legal AI accessible to the entire legal community. We believe it has the potential to address some of the limitations related to the use of general AI for legal problems and resolving disputes -- shortcomings that include legal misinformation or hallucinations, lack of transparency and precision, and inability to offer diverse and multiple narratives.

Keywords: Legal AI, Open source, Decentralized and Distributed Learning, Feedback, Legal profession

Suggested Citation

Dahan, Samuel and Bhambhoria, Rohan and Liang, David and Zhu, Xiaodan, Lawyers Should Not Trust AI: A call for an Open-source Legal Language Model (August 28, 2023). Queen's University Legal Research Paper, Available at SSRN: https://ssrn.com/abstract=4587092 or http://dx.doi.org/10.2139/ssrn.4587092

Samuel Dahan (Contact Author)

Queen's University - Faculty of Law ( email )

Macdonald Hall
Kingston, Ontario K7L 3N6 K7L3N6
Canada

Cornell Law School ( email )

Ithaca, NY
United States

Rohan Bhambhoria

Queen's University ( email )

99 University Ave
Kingston, Ontario K7L 3N6
Canada

David Liang

Queen's University - Faculty of Law ( email )

Macdonald Hall
Kingston, Ontario K7L 3N6 K7L3N6
Canada

Xiaodan Zhu

Queen's University ( email )

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