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The agreement explicitly states that Writer will not use user-submitted Input or Output, collectively defined as Materials, to train its AI models. This restriction applies to Materials as defined in the agreement and operates separately from the metadata aggregation authorization.
This analysis describes what Writer's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology
This provision establishes a clear contractual commitment that user-submitted content will not be used for AI model training, which is a specific and operationally significant restriction in the context of AI platform services. The commitment is stated directly and without qualification in the document.
The agreement states that Writer will not use user-submitted Input or Output to train its AI models. This commitment is limited to Materials as defined in the agreement and does not restrict Writer's use of aggregated, de-identified metadata derived from user activity.
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"We will not use your Materials to train our models.Excerpt from Writer's Terms of Service
REGULATORY LANDSCAPE: Commitments not to use user content for AI training are relevant to GDPR data minimization and purpose limitation principles, and to the EU AI Act's requirements for transparency in AI system development. The FTC has also addressed data use representations in the context of AI development. Accuracy and completeness of this commitment is a potential area of regulatory interest. GOVERNANCE EXPOSURE: Low for this specific commitment, given that it is explicitly stated and unqualified in the document. However, organizations should assess whether the commitment is verifiable through audit rights or contractual mechanisms, as the agreement does not specify an enforcement or verification procedure for this restriction. JURISDICTION FLAGS: EU organizations subject to GDPR should assess whether this commitment is sufficient to satisfy their obligations as data controllers when deploying Writer for organizational use. The Data Processing Agreement referenced in the Terms may contain additional relevant provisions for organizational accounts. CONTRACT AND VENDOR IMPLICATIONS: The no-training commitment is a material vendor representation for organizations with data governance policies restricting AI training on proprietary content. Procurement teams should document this commitment in vendor risk assessments and confirm whether the Enterprise Platform Services Agreement contains the same or equivalent commitment. The absence of an audit right or verification mechanism means reliance is based on contractual representation alone. COMPLIANCE CONSIDERATIONS: Legal teams should assess whether the no-training commitment satisfies applicable data protection obligations in relevant jurisdictions and confirm that the commitment extends to any subprocessors or third-party model providers Writer may engage. The commitment should be cross-referenced with Writer's published subprocessor list and any applicable DPA provisions.
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This provision establishes a clear contractual commitment that user-submitted content will not be used for AI model training, which is a specific and operationally significant restriction in the context of AI platform services. The commitment is stated directly and without qualification in the document.
The agreement states that Writer will not use user-submitted Input or Output to train its AI models. This commitment is limited to Materials as defined in the agreement and does not restrict Writer's use of aggregated, de-identified metadata derived from user activity.
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