Re-Framing Case Law Citation Prediction from a Paragraph Perspective

Henrik PALMER OLSEN, Nicolas GARNEAU, Yannis PANAGIS, Johan LINDHOLM and Anders SØGAARD (2023). "Re-Framing Case Law Citation Prediction from a Paragraph Perspective". Legal Knowledge and Information Systems.

doi:10.3233/FAIA230982

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.

More information (see editor's website)