Cohere may use the text you type into its AI tools and the responses you receive to train and improve its AI models, unless your agreement with Cohere says otherwise.
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 authorization establishes that user interaction data constitutes a data input for model development and service enhancement. The operational significance is that interactions are treated as training material rather than retained solely for transactional or support purposes.
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 →Any text inputs you submit to Cohere's AI models — including potentially sensitive personal or business information — may be used to train Cohere's AI, which could create data exposure risks that persist beyond your use of the service.
How other platforms handle this
To improve the quality of our services, we analyse texts submitted for translation. We ensure that this analysis cannot be traced back to individual users by anonymising the data before analysis. DeepL Pro subscribers' texts are not used to train our machine translation systems.
Only models with a post-mitigation score of "medium" or below can be deployed. Only models with a post-mitigation score of "high" or below can be developed further.
engage in any of the foregoing in connection with any use, creation, development, modification, prompting, fine-tuning, training, testing, benchmarking or validation of any artificial intelligence or machine learning tool, model, system, algorithm, product or other technology ("AI Tool").
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"We may use the content of your interactions with our Services, including inputs you provide and outputs you receive, to train, fine-tune, and improve our AI models and Services, subject to the terms of our applicable agreements.— Excerpt from Cohere's Cohere Privacy Policy
(1) REGULATORY FRAMEWORK: This provision implicates GDPR Art. 6 (lawful basis for processing — legitimate interests or consent required for training use), Art. 5 (purpose limitation principle — training may be incompatible with original collection purpose), and Art. 22 (automated decision-making). Under CCPA/CPRA §1798.100, consumers have the right to know about secondary uses of personal information. Canada's PIPEDA Principle 3 requires limiting use to the purpose for which data was collected. The FTC Act Section 5 prohibits unfair or deceptive trade practices, which may encompass undisclosed model training uses. (2)
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This authorization establishes that user interaction data constitutes a data input for model development and service enhancement. The operational significance is that interactions are treated as training material rather than retained solely for transactional or support purposes.
Any text inputs you submit to Cohere's AI models — including potentially sensitive personal or business information — may be used to train Cohere's AI, which could create data exposure risks that persist beyond your use of the service.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by Cohere.