Cohere states that content you submit through its services may be used to train and improve its AI models, unless you are covered by a separate enterprise agreement with different terms.
This analysis describes what Cohere'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 determines whether the prompts, documents, and queries you submit to Cohere's AI services are retained and used to further develop Cohere's models, which has implications for confidentiality of submitted content and data minimization obligations.
Interpretive note: The exact language of this provision could not be directly extracted from the truncated HTML document; the description is based on available document fragments and the policy's stated scope. Enterprise tier distinctions add interpretive complexity.
The updated policy removes explicit language describing data retention timelines and deletion request procedures that were previously available. The prior policy stated that Enterprise Users' inputs and outputs were retained for 30 days, that Trial Users and Researchers were not intended to process personal information, and that deletion requests would normally be responded to within one month (up to three months for complex requests). The updated policy now contains only a general reference to 'retention practices' without specifying these timelines, response windows, or user-type distinctions. Users cannot determine from the updated policy what retention periods apply to their account category or what timeline to expect for deletion requests.
View change record →Under the default terms, inputs submitted through standard service tiers may be used for AI model training, meaning content you provide to the service could influence future model outputs. Enterprise API customers may have contractual protections that limit or exclude this use.
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 may use the inputs and outputs from your use of our Services to improve and train our AI models. If you are an enterprise API customer, your agreement with us may contain different terms regarding the use of your data for model training.Excerpt from Cohere's Privacy Policy
(1) REGULATORY LANDSCAPE: This provision engages GDPR Articles 5, 6, and 9 regarding lawful basis and purpose limitation for processing personal data, particularly where user inputs contain personal data of third parties.
Enforcement risk, jurisdiction flags, contract triggers, and due diligence action items.
Ad personalization controls removed. Contact scanning added. Advertiser data partnerships quietly dropped. A timeline of every change.
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This provision determines whether the prompts, documents, and queries you submit to Cohere's AI services are retained and used to further develop Cohere's models, which has implications for confidentiality of submitted content and data minimization obligations.
Under the default terms, inputs submitted through standard service tiers may be used for AI model training, meaning content you provide to the service could influence future model outputs. Enterprise API customers may have contractual protections that limit or exclude this use.
ConductAtlas has identified this type of provision across 290 platforms. See the full comparison.
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