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Chapitre D'ouvrage Année : 2022

Linking Appellate Judgments to Tribunal Judgments – Benchmarking Different ML Techniques

Résumé

The typical judicial pathway is made of a judgment by a tribunal followed by a decision of an appellate court. However, the link between both documents is sometimes difficult to establish because of missing, incorrect or badly formatted references, pseudonymization, or poor drafting specific to each jurisdiction. This paper first shows that it is possible to link court decisions related to the same case although they are from different jurisdictions using manual rules. The use of deep learning afterwards significantly reduces the error rate in this task. The experiments are conducted between the Commercial Court of Paris and Appellate Courts.

Dates et versions

hal-04546611 , version 1 (15-04-2024)

Licence

Paternité - Pas d'utilisation commerciale

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Citer

Charles Condevaux, Bruno Mathis, Sid Ali Mahmoudi, Stéphane Mussard, Guillaume Zambrano. Linking Appellate Judgments to Tribunal Judgments – Benchmarking Different ML Techniques. Enrico Francesconi; Georg Borges; Christoph Sorge. Legal Knowledge and Information Systems, 362, IOS Press, pp.33-42, 2022, Frontiers in Artificial Intelligence and Applications, 978-1-64368-364-5. ⟨10.3233/FAIA220446⟩. ⟨hal-04546611⟩

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