terms-of-service-abusive-clause-detection-7f5c04c9·1 events·first seen Aliases: Terms of Service abusive clause detection
Researchers present a RAG framework for automated detection and classification of potentially abusive clauses in Chilean Terms of Service agreements, designed for local execution with open-weight language models. They introduce the Chilean Abusive Terms of Service Extended corpus with 100 contracts and 10,029 annotated clauses across 24 legally grounded categories. Experiments show RAG prompting substantially improves performance, enabling local models to approach larger cloud-based systems at reduced computational and token cost. The work also contributes a refined legal annotation scheme for AI-assisted consumer contract review.