Affiliation:
1. Faculty of Law, University of Copenhagen; Institut D’Études Avancées de Paris
2. Computer Science Department, University of Copenhagen
3. Faculty of Law, Umeå University
Abstract
Case law citation prediction, i.e., predicting what historical cases are relevant for your current case, can assist legal discovery and decision-making, but legal documents are long, and often only parts of them are relevant for a particular use case. We therefore reframe case law citation prediction as a paragraph-to-paragraph citation task, introduce a new dataset, and train and evaluate new models. We also evaluate our models qualitatively. Our resources provide a first step toward discovering citation patterns and modeling legal rules in EU law from precedent documents.