AI RESEARCH

Retrieval-Augmented Detection of Potentially Abusive Clauses in Chilean Terms of Service

arXiv CS.AI

ArXi:2605.26019v1 Announce Type: cross Online Terms of Service often function as contracts of adhesion, creating asymmetries that may expose consumers to potentially abusive clauses. In Chile, assessing such clauses is legally challenging because some provisions clearly violate mandatory consumer law, whereas others depend on broader standards such as good faith and contractual imbalance. We present a retrieval-augmented generation framework for the automated detection and classification of potentially abusive clauses in Chilean Terms of Service.