@inproceedings{padro-etal-2026-llm,
title = "An {LLM}-Based Assistant for Debt Waiver Court Procedures",
author = "Padro, Lluis and
Ferr{\'e}s, Daniel and
Saur{\'i}, Roser and
Artigot, Mireia",
editor = "Piperidis, Stelios and
Bel, N{\'u}ria and
van den Heuvel, Henk and
Ide, Nancy and
Krek, Simon and
Toral, Antonio",
booktitle = "Proceedings of the Fifteenth Language Resources and Evaluation Conference",
month = may,
year = "2026",
address = "Palma de Mallorca, Spain",
publisher = "ELRA Language Resource Association",
url = "https://aclanthology.org/2026.lrec-1.35/",
doi = "10.63317/57sfssjpk6di",
pages = "505--514",
abstract = "Spanish Insolvency Law 1/2020 of the 5th of May enables individuals to apply for debt waiver under certain conditions. The large number of applications submitted each year places a heavy burden on judges and court officers, who must examine heterogeneous documentation before issuing a ruling. This paper presents an AI-based assistant designed to support the processing of debt waiver cases. The system integrates PDF-to-text conversion, rule-based document classification, large language model (LLM)-based information extraction, and post-processing to consolidate fragmented or duplicated records. A front-end interface provides structured summaries of the application content, and can automatically generate draft rulings. Evaluated on a set of real applications, the system achieves over 92{\%} F1 in document classification and up to 91{\%} F1 in personal data extraction, showing the potential of open-source LLMs to reduce administrative workload and accelerate judicial procedures, while keeping the final decision with the judge."
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<abstract>Spanish Insolvency Law 1/2020 of the 5th of May enables individuals to apply for debt waiver under certain conditions. The large number of applications submitted each year places a heavy burden on judges and court officers, who must examine heterogeneous documentation before issuing a ruling. This paper presents an AI-based assistant designed to support the processing of debt waiver cases. The system integrates PDF-to-text conversion, rule-based document classification, large language model (LLM)-based information extraction, and post-processing to consolidate fragmented or duplicated records. A front-end interface provides structured summaries of the application content, and can automatically generate draft rulings. Evaluated on a set of real applications, the system achieves over 92% F1 in document classification and up to 91% F1 in personal data extraction, showing the potential of open-source LLMs to reduce administrative workload and accelerate judicial procedures, while keeping the final decision with the judge.</abstract>
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%0 Conference Proceedings
%T An LLM-Based Assistant for Debt Waiver Court Procedures
%A Padro, Lluis
%A Ferrés, Daniel
%A Saurí, Roser
%A Artigot, Mireia
%Y Piperidis, Stelios
%Y Bel, Núria
%Y van den Heuvel, Henk
%Y Ide, Nancy
%Y Krek, Simon
%Y Toral, Antonio
%S Proceedings of the Fifteenth Language Resources and Evaluation Conference
%D 2026
%8 May
%I ELRA Language Resource Association
%C Palma de Mallorca, Spain
%F padro-etal-2026-llm
%X Spanish Insolvency Law 1/2020 of the 5th of May enables individuals to apply for debt waiver under certain conditions. The large number of applications submitted each year places a heavy burden on judges and court officers, who must examine heterogeneous documentation before issuing a ruling. This paper presents an AI-based assistant designed to support the processing of debt waiver cases. The system integrates PDF-to-text conversion, rule-based document classification, large language model (LLM)-based information extraction, and post-processing to consolidate fragmented or duplicated records. A front-end interface provides structured summaries of the application content, and can automatically generate draft rulings. Evaluated on a set of real applications, the system achieves over 92% F1 in document classification and up to 91% F1 in personal data extraction, showing the potential of open-source LLMs to reduce administrative workload and accelerate judicial procedures, while keeping the final decision with the judge.
%R 10.63317/57sfssjpk6di
%U https://aclanthology.org/2026.lrec-1.35/
%U https://doi.org/10.63317/57sfssjpk6di
%P 505-514
Markdown (Informal)
[An LLM-Based Assistant for Debt Waiver Court Procedures](https://aclanthology.org/2026.lrec-1.35/) (Padro et al., LREC 2026)
ACL
- Lluis Padro, Daniel Ferrés, Roser Saurí, and Mireia Artigot. 2026. An LLM-Based Assistant for Debt Waiver Court Procedures. In Proceedings of the Fifteenth Language Resources and Evaluation Conference, pages 505–514, Palma de Mallorca, Spain. ELRA Language Resource Association.