| Vol-4089 urn:nbn:de:0074-4089-x Copyright © 2025 for the individual papers by the papers' authors. Copyright © 2025 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# AMELR 2025
Argument Mining and Empirical Legal Research 2025

### Proceedings of the First Argument Mining and Empirical Legal Research Workshop
co-located with the 20th International Conference on Artificial Intelligence and Law (ICAIL 2025)

### Chicago, United States, June 20, 2025.

Edited by

### Tomas Koref 1, 2
Lena Held 3, 4
Ivan Habernal 4

1 Center for Critical Computational Studies, Goethe University Frankfurt, Frankfurt am Main, Germany
2 Department for Legal Theory and Legal Doctrines, Faculty of Law, Charles University, Prague, Czechia
3 Trustworthy Human Language Technologies, Technical University of Darmstadt, Darmstadt, Germany
4 Trustworthy Human Language Technologies, RC-Trust & Ruhr University Bochum, Bochum, Germany

## Table of Contents

- Preface
  Summary: There were 8 papers submitted for peer-review to this workshop. Out of these, 6 papers were accepted for this volume, all as regular papers..

- Legal Argument Mining: Recent Trends and Open Challenges 1–14
  Rūta Liepiņa, Francesca Galloni, Francesca Lagioia, Marco Lippi, Mariaceleste Musicco, Burcu Sayin, Andrea Passerini, Giovanni Sartor
- Dynamic Demonstrations Selection for Few-Shot Legal Argument Mining 15–29
  Francesco Alfieri, Giulia Grundler, Francesca Galloni, Rūta Liepiņa, Francesca Lagioia, Andrea Galassi, Paolo Torroni
- Decoding Green Justice: An AI-Assisted Exploration of Indian Environmental Court Rulings over Five Decades 30–38
  Patrick Behrer, Shareen Joshi, Olexiy Kyrychenko, Viknesh Nagarathinam, Peter Neis, Shashank Singh
- Improving Legal Question Answering through Structured Knowledge Representation 39–45
  Ankita Gupta, Frank Schilder
- Generating Legal Commentaries from Case Databases via Retrieval, Clustering, and Generation 46–54
  Max Prior, Niklas Wais, Matthias Grabmair
- Rabula: A Benchmark for Evaluating LLMs in Brazilian Legal Tasks 55–62
  Eduardo Caruso Barbosa Pacheco, Fernanda Mattar Suriani, Ricardo Ribeiro

2025-10-21: submitted by Ivan Habernal, Lena Held, metadata incl. bibliographic data published under Creative Commons CC0
2025-11-09: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|