Overview of CAIL2018: Legal Judgment Prediction Competition
It introduces a competition for advancing legal AI, but is incremental as it builds on existing LJP tasks.
The paper describes the CAIL2018 competition, which tackled the problem of legal judgment prediction by having participants predict law articles, charges, and prison terms from fact descriptions, resulting in 601 teams and 1,144 contestants participating.
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.