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A Short Survey of Viewing Large Language Models in Legal Aspect

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Computer Science > Computation and Language

arXiv:2303.09136 (cs)
[Submitted on 16 Mar 2023 (v1), last revised 10 Sep 2026 (this version, v2)]

Title:A Short Survey of Viewing Large Language Models in Legal Aspect

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Abstract:Large language models (LLMs) have transformed many fields, including natural language processing, computer vision, and reinforcement learning. These models have also made a significant impact in the field of law, where they are being increasingly utilized to automate various legal tasks, such as legal judgement prediction, legal document analysis, and legal document writing. However, the integration of LLMs into the legal field has also raised several legal problems, including privacy concerns, bias, and explainability. In this survey, we explore the integration of LLMs into the field of law. We discuss the various applications of LLMs in legal tasks, examine the legal challenges that arise from their use, and explore the data resources that can be used to specialize LLMs in the legal domain. Finally, we discuss several promising directions and conclude this paper. By doing so, we hope to provide an overview of the current state of LLMs in law and highlight the potential benefits and challenges of their integration.
Comments: 8 pages
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2303.09136 [cs.CL]
  (or arXiv:2303.09136v2 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2303.09136
arXiv-issued DOI via DataCite

Submission history

From: Zhongxiang Sun [view email]
[v1] Thu, 16 Mar 2023 08:01:22 UTC (10 KB)
[v2] Thu, 10 Sep 2026 13:50:46 UTC (311 KB)
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