综述16个法律大模型与47个应用框架，助力法律AI研究。
Large Language Models Meet Legal Artificial Intelligence: A Survey
- 系统梳理法律领域大模型及应用框架
- 整合15个评测基准与29个数据集
- 适合法律AI初学者与研究者参考
近年来，大语言模型（LLMs）显著推动了法律人工智能（Legal AI）的发展，提升了法律任务的效率与准确性。为促进基于大模型的法律领域研究与应用，本文全面回顾了16个法律大模型系列和47个基于大模型的法律任务框架，并收集了15个评测基准与29个数据集以评估不同法律能力。此外，本文分析了当前面临的挑战，并探讨了未来发展方向。我们希望本综述能为初学者提供系统性介绍，并激励该领域的进一步研究。相关资源见：https://github.com/ZhitianHou/LLMs4LegalAI。
原文摘要 · Abstract (English)
Large Language Models (LLMs) have significantly advanced the development of Legal Artificial Intelligence (Legal AI) in recent years, enhancing the efficiency and accuracy of legal tasks. To advance research and applications of LLM-based approaches in legal domain, this paper provides a comprehensive review of 16 legal LLMs series and 47 LLM-based frameworks for legal tasks, and also gather 15 benchmarks and 29 datasets to evaluate different legal capabilities. Additionally, we analyse the challenges and discuss future directions for LLM-based approaches in the legal domain. We hope this paper provides a systematic introduction for beginners and encourages future research in this field. Resources are available at https://github.com/ZhitianHou/LLMs4LegalAI.
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