2023 LargeLanguageModelsinLawASurvey
- (Lai et al., 2023) ⇒ Jinqi Lai, Wensheng Gan, Jiayang Wu, Zhenlian Qi, and Philip S. Yu. (2023). “Large Language Models in Law: A Survey.” doi:10.48550/arXiv.2312.03718
Subject Headings:
Notes
- It discusses the significant role of AI in legal applications. ("... legal research, document analysis, contract review, predictive analytics for case outcomes, and legal chatbots for providing basic legal information and guidance. ...")
- It highlights the evolution from traditional judicial technology to AI-supported systems, reflecting a trend towards technology integration in legal processes.
- It delves into how AI is used to manage and interpret large volumes of legal data.
- It mentions specialized Large Language Models such as LawGPT, LaWGPT, LexiLaw.
- It discusses the importance of establishing evaluation metrics for legal AI systems.
- It addresses the challenges associated with data flaws and algorithmic limitations in AI systems.
Cited By
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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 implementation 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.
1 Introduction
... Examples of legal applications of AI include legal research, document analysis, contract review, predictive analytics for case outcomes, and legal chatbots for providing basic legal information and guidance. ...
References
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| Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2023 LargeLanguageModelsinLawASurvey | Philip S. Yu Jinqi Lai Wensheng Gan Jiayang Wu Zhenlian Qi | Large Language Models in Law: A Survey | 10.48550/arXiv.2312.03718 | 2023 |