Abstract
Predicting case outcomes has long played a role in research on Artificial Intelligence and Law. Actually, it has played several roles, from identifying borderline cases worthy of legal academic commentary, to providing some evidence of the reasonableness of computational models of case-based legal reasoning, to providing the raison d'être of such models, to accounting for statistically telling features beyond such models, to circumventing features altogether in favor of predicting outcomes directly from analyzing case texts. The use cases to which case prediction has been put have also evolved. This article briefly surveys this historical evolution of roles and uses from a mere research possibility to a fundamental tool in AI and Law’s kit bag of techniques.
Cited by
8 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Topology-aware Multi-task Learning Framework for Civil Case Judgment Prediction;Expert Systems with Applications;2024-03
2. Legal Syllogism Prompting;Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law;2023-06-19
3. Gender Disparities in Child Custody Sentencing in Spain;Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law;2023-06-19
4. The benefits and dangers of using machine learning to support making legal predictions;WIREs Data Mining and Knowledge Discovery;2023-05-11
5. Artificial Intelligence in the Judiciary System of Saudi Arabia: A Literature Review;2023 International Conference On Cyber Management And Engineering (CyMaEn);2023-01-26