arXiv:2605.26019v1 Announce Type: cross Abstract: 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. Designed for local execution, it com
The proliferation of complex online terms of service necessitates automated solutions for consumer protection, especially as AI capabilities advance in legal text analysis.
This development allows for scalable and efficient detection of potentially abusive contractual clauses, enhancing consumer rights and potentially reshaping how legal compliance is managed by service providers.
The ability to automatically identify problematic clauses reduces reliance on manual legal review, potentially standardizing enforcement and increasing legal scrutiny on online contracts.
- · Consumers
- · Consumer protection agencies
- · AI legal tech companies
- · Companies with opaque ToS
- · Manual legal review services (some aspects)
Companies face increased pressure to ensure fairness and transparency in their online terms of service.
Legal frameworks and regulatory bodies may adapt to incorporate AI-driven clause analysis into their enforcement mechanisms.
This could lead to a global standardization of 'fair use' provisions in online contracts, driven by AI's ability to consistently identify deviations.
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Read at arXiv cs.CL