The terms likely cap Cohere's financial liability to users and disclaim warranties regarding model output accuracy or fitness for a particular purpose, which is standard for AI API providers.
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
Limitation of liability provisions determine the maximum financial recourse users have if the service fails, outputs are inaccurate, or service disruption causes loss, which is particularly material for enterprise deployments.
Interpretive note: Specific limitation of liability clause language was not extractable from the truncated HTML document; this provision is inferred from standard AI API terms of service structures.
Users relying on Cohere's AI model outputs for consequential decisions should be aware that the terms likely disclaim warranties about output accuracy and cap Cohere's liability, meaning users bear the risk of errors in AI-generated content.
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To the maximum extent permitted by applicable law, Kit shall not be liable for any indirect, incidental, special, consequential or punitive damages, or any loss of profits or revenues, whether incurred directly or indirectly, or any loss of data, use, goodwill, or other intangible losses, resulting ...
To the maximum extent permitted by applicable law, Pinterest shall not be liable for any indirect, incidental, special, consequential, or punitive damages, or any loss of profits or revenues, whether incurred directly or indirectly, or any loss of data, use, goodwill, or other intangible losses, res...
You will remain responsible for any amounts you fail to pay in connection with your subscription, including collection costs, bank overdraft fees, collection agency fees, reasonable attorneys' fees, and arbitration or court costs.
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(1) REGULATORY LANDSCAPE: Broad liability disclaimers in AI model terms interact with the EU AI Act's liability framework for general-purpose AI models, the EU Product Liability Directive proposals, and applicable consumer protection law which may limit the enforceability of liability exclusions for consumers in certain jurisdictions. In the US, warranty disclaimers under the Uniform Commercial Code and state consumer protection laws may constrain the scope of enforceable disclaimers. (2) GOVERNANCE EXPOSURE: High for enterprise users. If Cohere's models produce inaccurate outputs that cause downstream harm in a commercial application, the limitation of liability provision determines whether Cohere bears any financial responsibility. For high-stakes applications (medical, legal, financial), the standard limitation of liability provisions in consumer-facing Terms of Use are typically insufficient risk allocation for enterprise deployments. (3) JURISDICTION FLAGS: EU consumer law (Unfair Contract Terms Directive) may limit the enforceability of broad liability exclusions against consumers. UK consumer contract regulations similarly restrict unfair terms. Enterprise B2B customers typically have fewer protections against liability caps, though negotiated enterprise agreements may provide different terms. (4) CONTRACT AND VENDOR IMPLICATIONS: Enterprise procurement teams should negotiate specific liability caps, indemnification provisions, and SLA remedies in any enterprise agreement, as standard Terms of Use limitation of liability provisions typically do not provide adequate coverage for production commercial deployments. (5) COMPLIANCE CONSIDERATIONS: Organizations deploying Cohere's models in regulated contexts (healthcare, financial services, legal) should assess whether the standard limitation of liability provisions are compatible with their own regulatory obligations and should seek enhanced liability provisions in enterprise agreements.
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Limitation of liability provisions determine the maximum financial recourse users have if the service fails, outputs are inaccurate, or service disruption causes loss, which is particularly material for enterprise deployments.
Users relying on Cohere's AI model outputs for consequential decisions should be aware that the terms likely disclaim warranties about output accuracy and cap Cohere's liability, meaning users bear the risk of errors in AI-generated content.
ConductAtlas has identified this type of provision across 266 platforms. See the full comparison.
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