Large language models in law: A survey

Jinqi Lai , Wensheng Gan , Jiayang Wu , Zhenlian Qi , Philip S. Yu
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Abstract

The advent of artificial intelligence (AI) has significantly impacted the traditional judicial industry. Moreover, recently, with the development of AI-generated content (AIGC), AI and law have found applications in various domains, including image recognition, automatic text generation, and interactive chat. With the rapid emergence and growing popularity of large models, it is evident that AI will drive transformation in the traditional judicial industry. However, the application of legal large language models (LLMs) is still in its nascent stage. Several challenges need to be addressed. In this paper, we aim to provide a comprehensive survey of legal LLMs. We not only conduct an extensive survey of LLMs but also expose their applications in the judicial system. We first provide an overview of AI technologies in the legal field and showcase the recent research in LLMs. Then, we discuss the practical implementations presented by legal LLMs, such as providing legal advice to users and assisting judges during trials. In addition, we explore the limitations of legal LLMs, including data, algorithms, and judicial practice. Finally, we summarize practical recommendations and propose future development directions to address these challenges.
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法律中的大型语言模型:调查
人工智能(AI)的出现极大地冲击了传统的司法行业。此外,近期随着人工智能生成内容(AIGC)的发展,人工智能与法律在图像识别、自动文本生成、互动聊天等多个领域都有了应用。随着大模型的快速出现和日益普及,人工智能显然将推动传统司法行业的转型。然而,法律大型语言模型(LLM)的应用仍处于起步阶段。一些挑战亟待解决。本文旨在对法律大语言模型进行全面调查。我们不仅对 LLM 进行了广泛的调查,还揭示了它们在司法系统中的应用。我们首先概述了人工智能技术在法律领域的应用,并展示了最近在 LLMs 方面的研究。然后,我们讨论了法律 LLM 的实际应用,例如为用户提供法律建议和在审判过程中协助法官。此外,我们还探讨了法律 LLM 的局限性,包括数据、算法和司法实践。最后,我们总结了实用建议,并提出了应对这些挑战的未来发展方向。
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