Problem
Research questions and friction points this paper is trying to address.
Legal Issue Identification
Chinese Civil Litigation
Computational Modelling
LexIssue: Benchmarking Legal Issue Identification in Chinese Civil Litigation
🤖 AI Summary
研究通过构建LexIssue基准和法律知识库，利用检索增强生成方法解决中文民事诉讼中法律争议点识别问题。
📝 Abstract
Identifying the issues disputed between litigating parties is a crucial component of real-world litigation. However, legal issues remain comparatively underexplored in legal AI research. In this work, we study the computational modelling of legal issue identification in litigation. We introduce a legally grounded hierarchical schema that represents legal issues through both free-form issue descriptions and structured legal categories, and formulate legal issue identification as two complementary tasks: legal issue generation and legal issue classification. Based on this formulation, we construct LexIssue, a benchmark containing 430 real-world Chinese civil litigation cases and 1,303 expert-annotated disputed legal issues. We further develop an issue-centric legal knowledge base spanning 27 causes of action and 441 candidate legal issue entries to support retrieval-augmented reasoning. Experimental results across a diverse set of models show that retrieval-augmented generation using the constructed legal issue knowledge base consistently improves performance in identifying disputed legal issues and their corresponding legal attributes.
Innovation
Methods, ideas, or system contributions that make the work stand out.
legal issue identification
retrieval-augmented generation
hierarchical schema
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