Writer promises it will not use the content you or your employees submit to its platform to train its AI systems unless you have explicitly agreed to allow that.
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 is one of the most practically significant protections in the policy for enterprise users, directly addressing a common concern about AI platforms using business content to improve their models without consent.
Interpretive note: The policy statement is clear, but enforceability depends on whether this language is reflected in the executed contractual DPA and subscription agreement, which are separate documents not reproduced here.
Users' submitted content, including documents, prompts, and business data, is not used to train Writer's AI models unless the customer has specifically authorized it, providing a meaningful layer of data protection for sensitive business information.
How other platforms handle this
Data publicly available on the Internet. Our artificial intelligence models are trained on data that is publicly available on the Internet by third parties, which may contain personal data, even if we use good practices to filter out such personal data. [...] Training Datasets. In some cases, we acc...
We may use the content you provide to us, including prompts and generated images, to train and improve our AI models and services.
We are simplifying our Terms of Use, including clarifications around the use of AI tools, and their data use. We have moved the terms that describe AI Features, which were previously written for a Creator audience and located under the AI-Based Tools Supplemental Terms and Disclaimer, into the User ...
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"Writer does not use Customer Data to train its AI models without explicit customer permission. Customer Data means the data, content, and information that customers and their end users submit to or through the Services.— Excerpt from Writer's Writer Privacy Policy
REGULATORY LANDSCAPE: This provision engages GDPR Article 5 data minimization and purpose limitation principles, as well as CCPA/CPRA restrictions on using personal information beyond the disclosed purpose. The FTC Act's prohibition on unfair or deceptive practices is also relevant if this commitment were to be inconsistently applied. The provision as stated is a contractual commitment, and its enforceability depends on the specific language in the applicable DPA and subscription agreement. GOVERNANCE EXPOSURE: Medium. The provision creates a meaningful contractual protection, but compliance teams should verify that the definition of 'Customer Data' in the DPA aligns with their understanding of what data is submitted, and that operational controls exist to enforce this commitment across sub-processors and internal ML teams. The distinction between Customer Data and usage/telemetry data (which may be used for product improvement) requires careful mapping. JURISDICTION FLAGS: EU and UK GDPR-regulated organizations will view this as relevant to purpose limitation under Article 5(1)(b). California CPRA-regulated entities should confirm this aligns with service provider agreement requirements. Organizations in healthcare or legal services should assess whether any submitted data constitutes regulated data under HIPAA or professional privilege rules. CONTRACT AND VENDOR IMPLICATIONS: Procurement teams should confirm this commitment appears in the executed DPA and subscription agreement, not only in the privacy policy, to ensure contractual enforceability. The policy-level statement may not be sufficient for vendor due diligence purposes under GDPR Article 28 processor requirements. COMPLIANCE CONSIDERATIONS: Compliance teams should conduct data mapping to distinguish Customer Data from usage data in the Writer environment, verify that any AI training opt-in mechanism is documented if permission is granted, and include this commitment in vendor risk assessments. Annual review of Writer's sub-processor list is advisable to confirm the commitment flows through to all processors handling Customer Data.
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This is one of the most practically significant protections in the policy for enterprise users, directly addressing a common concern about AI platforms using business content to improve their models without consent.
Users' submitted content, including documents, prompts, and business data, is not used to train Writer's AI models unless the customer has specifically authorized it, providing a meaningful layer of data protection for sensitive business information.
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