Legal Judgment Prediction: A Survey of the State of the Art

Yi Feng, Chuanyi Li, Vincent Ng

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence

Survey Track. Pages 5461-5469.

https://doi.org/10.24963/ijcai.2022/765

PDF BibTeX Video

Abstract

Automatic legal judgment prediction (LJP) has recently received increasing attention in the natural language processing community in part because of its practical values as well as the associated research challenges. We present an overview of the major milestones made in LJP research covering multiple jurisdictions and multiple languages, and conclude with promising future research directions.

Keywords

  • Survey Track: Natural Language Processing
Welcome Future Conferences AI Journal Division IJCAI Proceedings Travel Grant Program IJCAI Awards