In this paper, we propose a new annotation scheme to classify different types of clauses in Terms-and-Conditions contracts with the ultimate goal of supporting legal experts to quickly identify and assess problematic issues in this type of legal documents. To this end, we built a small corpus of Terms-and-Conditions contracts and finalized an annotation scheme of 14 categories, eventually reaching an inter-annotator agreement of 0.92. Then, for 11 of them, we experimented with binary classification tasks using few-shot prompting with a multilingual T5 and two fine-tuned versions of two BERT-based LLMs for Italian. Our experiments showed the feasibility of automatic classification of our categories by reaching accuracies ranging from .79 to .95 on validation tasks.
@article{arxiv.2402.14457,
title = {Annotation and Classification of Relevant Clauses in Terms-and-Conditions Contracts},
author = {Pietro Giovanni Bizzaro and Elena Della Valentina and Maurizio Napolitano and Nadia Mana and Massimo Zancanaro},
journal= {arXiv preprint arXiv:2402.14457},
year = {2024}
}