Replit states that content you submit to the platform, including code and AI prompts, may be used to train or improve Replit's AI models as part of operating the service.
This analysis describes what Replit'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 authorizes Replit to use code, prompts, and other user-submitted content for AI model improvement, which may affect users who submit proprietary, sensitive, or commercially significant code to the platform.
Interpretive note: The document references AI model training use but the full scope of which content categories are included and whether opt-out mechanisms exist for this specific use is not fully specified in the available text.
The updated policy organizes personal data collection into specific categories: registration data (name, email, phone), content created (code, files, prompts), collaboration data (teams, workspaces, permissions), usage logs (pages viewed, searches, interactions), communications (messages, attachments), payment data (card details, billing address, subscription type, collected by third-party processors), device data (IP address, browser type, operating system, device identifiers), and general location inference from IP address (with explicit statement that precise location requires consent). The policy states it 'may collect certain Personal Data' but does not materially expand the types of data collection beyond the prior version's framework. The removal of the explicit Data Processing Agreement reference may affect how EU/UK/Switzerland users exercise data rights, though the policy now cross-references the Terms of Service and indicates DPA compliance may be addressed elsewhere.
View change record →Removal of explicit AI training disclosure may obscure Replit's use of user code for model training, making user content use less transparent despite maintaining this practice.
View full change record →Users who submit code, AI prompts, or other content to Replit's platform should be aware that the policy permits this content to be used for AI training and service improvement purposes, which may have implications for intellectual property or confidentiality depending on the nature of the content submitted.
How other platforms handle this
If you choose to reveal any personal information about yourself to other users, you do so at your own risk. We strongly encourage you to use caution in disclosing any personal information online.
When you are asked to provide information, you may decline to do so; but if you choose not to provide information that is necessary to provide some of our Services, you may not be able to use those Services.
You may contact our privacy team with any requests of disclosure, correction, or deletion of your personal information. You may also request suspension of use or suspension of sharing of your personal information with certain third parties.
"We use the information we collect to provide, maintain, and improve our Services, including to train and improve our AI models. This includes using the content you create, upload, or submit through the Services, such as code, prompts, and other inputs.Excerpt from Replit's Privacy Policy
REGULATORY LANDSCAPE: This provision engages the FTC Act's standards for unfair or deceptive practices if the scope of AI training use is not adequately disclosed at the point of collection.
Enforcement risk, jurisdiction flags, contract triggers, and due diligence action items.
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This provision authorizes Replit to use code, prompts, and other user-submitted content for AI model improvement, which may affect users who submit proprietary, sensitive, or commercially significant code to the platform.
Users who submit code, AI prompts, or other content to Replit's platform should be aware that the policy permits this content to be used for AI training and service improvement purposes, which may have implications for intellectual property or confidentiality depending on the nature of the content submitted.
ConductAtlas has identified this type of provision across 290 platforms. See the full comparison.
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