10 Total
2 High severity
7 Medium severity
1 Low severity
Summary

This agreement establishes the terms under which Cohere provides API access to its language models for text generation, search, and embeddings services to enterprise customers and developers. The agreement authorizes Cohere to use data submitted through the API to train and improve its models, unless the customer configures an opt-out election through the data processing addendum. The agreement limits Cohere's liability for all claims to the total fees paid by the customer in the twelve months preceding the claim.

Technical / Legal Breakdown

This document is Cohere's SaaS Agreement governing enterprise and API customer access to Cohere's AI and NLP services, including language model APIs such as Command, Embed, and Rerank, structured as a binding contract between Cohere and the subscribing organization. The agreement states that customers receive a limited, non-exclusive, non-transferable license to access the Services, while Cohere retains all intellectual property rights in its models, outputs, and platform; the terms also authorize Cohere to use customer-submitted data for service delivery and, where not opted out, for model improvement purposes. Notably, the agreement includes broad indemnification obligations running from customer to Cohere covering third-party claims arising from customer's use of the Services or customer data, and limits Cohere's aggregate liability to fees paid in the preceding twelve months, which is a commercially common but operationally significant cap for enterprise deployments. The agreement engages GDPR and applicable data protection frameworks through a data processing addendum structure, and the EU AI Act may require evaluation given Cohere's provision of general-purpose AI models; CCPA obligations may apply depending on the nature of personal data processed through the API. Compliance teams should note that the agreement's governing law is Ontario, Canada, with disputes resolved under Ontario courts, which creates jurisdictional considerations for EU-based and US-based enterprise customers evaluating data sovereignty and dispute resolution options.

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High — 2 provisions
Medium — 7 provisions
Low — 1 provision

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Cross-platform context

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Mapped Governance Frameworks

California AB 2013 AI Training Data Transparency
US-CA
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CFAA
United States Federal
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FTC Act Section 5
United States Federal
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Archival ProvenanceSource & Archival Record
Last Captured May 11, 2026 10:30 UTC
Capture Method Automated scheduled archival capture
Document ID CA-D-000768
Version ID CA-V-002391
SHA-256 46c42fec95b6a33666ab7121a505214dbf327aed310814f04b16c32be6b62d5b
✓ Snapshot stored ✓ Text extracted ✓ Change verified ✓ Hash verified

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