Large language models in law: A survey

被引:1
|
作者
Lai, Jinqi [1 ]
Gan, Wensheng [1 ]
Wu, Jiayang [1 ]
Qi, Zhenlian [2 ]
Yu, Philip S. [3 ]
机构
[1] Jinan Univ, Guangzhou 510632, Peoples R China
[2] Guangdong Ecoengn Polytech, Guangzhou 510520, Peoples R China
[3] Univ Illinois, Chicago, IL USA
来源
AI OPEN | 2024年 / 5卷
基金
中国国家自然科学基金;
关键词
Artificial intelligence; LLMs; Justice; Legal model; ARTIFICIAL-INTELLIGENCE; AI; JUSTICE; ACCESS; COURTS; RISK;
D O I
10.1016/j.aiopen.2024.09.002
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:181 / 196
页数:16
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