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Overview of CAIL2018: Legal Judgment Prediction Competition

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arxiv 1810.05851 v1 pith:MPQPRUYP submitted 2018-10-13 cs.AI

Haoxi Zhong , Chaojun Xiao , Zhipeng Guo , Cunchao Tu , Zhiyuan Liu , Maosong Sun , Yansong Feng , Xianpei Han
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Zhen Hu Heng Wang Jianfeng Xu
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classification cs.AI
keywords cail2018competitionjudgmentoverviewcontestantsgivenlegalprediction
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In this paper, we give an overview of the Legal Judgment Prediction (LJP) competition at Chinese AI and Law challenge (CAIL2018). This competition focuses on LJP which aims to predict the judgment results according to the given facts. Specifically, in CAIL2018 , we proposed three subtasks of LJP for the contestants, i.e., predicting relevant law articles, charges and prison terms given the fact descriptions. CAIL2018 has attracted several hundreds participants (601 teams, 1, 144 contestants from 269 organizations). In this paper, we provide a detailed overview of the task definition, related works, outstanding methods and competition results in CAIL2018.

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  1. LegalWorld: A Life-Cycle Interactive Environment for Legal Agents

    cs.CL 2026-06 unverdicted novelty 7.0 of 10

    LegalWorld is a life-cycle interactive environment modeling Chinese civil litigation as five causally connected stages grounded in 75,309 judgments, paired with LongJud-Bench for cross-stage agent evaluation.

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