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.
翻译：大型语言模型(LLMs)改变了许多领域,包括自然语言处理、计算机视野和强化学习,这些模型也对法律领域产生了重大影响,正在越来越多地利用这些模型使各种法律任务自动化,例如法律判决预测、法律文件分析和法律文件撰写等,但是,将LLMs纳入法律领域也引起了若干法律问题,包括隐私问题、偏见和可解释性。在这次调查中,我们探讨了将LLMs纳入法律领域的问题。我们讨论了LMs在法律工作中的各种应用情况,审查了LMs在使用过程中产生的法律挑战,并探索了可用于使LMs在法律领域专业化的数据资源。最后,我们讨论了一些有希望的方向,并完成了这份文件。我们希望通过这样做来概述LMs在法律中的现状,并突出强调将其纳入法律的潜在好处和挑战。</s>
相关内容
微信扫码咨询专知VIP会员