Thomson Reuters may use your personal information to train its AI and machine learning systems, including those built into its products, and states it will seek consent where the law requires it.
This analysis describes what Thomson Reuters'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 means personal data you provide, or that Thomson Reuters collects about you, could be used to build AI systems, raising questions about what data is used, for how long, and whether individuals have effective control over that use.
Interpretive note: The provision conditions consent on applicable law rather than applying it universally, creating jurisdictional variance in when and how this use is permissible.
Removal of explicit consent requirement for AI training purposes eliminates key protection, replaced implicitly by broader AI prompt collection provision without consent safeguard.
View full change record →Your personal information, potentially including professional history, correspondence content, or research queries, may be used to develop or improve AI models embedded in Thomson Reuters products, with consent sought only where applicable law mandates it rather than as a default practice.
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"We may use the personal information we collect to develop, train, and improve artificial intelligence and machine learning models, including those used in our products and services. Where required by applicable law, we will obtain your consent before using your personal information for AI training purposes.Excerpt from Thomson Reuters's Privacy
REGULATORY LANDSCAPE: This provision engages GDPR Articles 5 (purpose limitation, data minimisation), 6 (lawful basis), 9 (sensitive data), and 22 (automated decision-making), as well as CCPA and CPRA provisions on secondary use of personal information.
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 means personal data you provide, or that Thomson Reuters collects about you, could be used to build AI systems, raising questions about what data is used, for how long, and whether individuals have effective control over that use.
Your personal information, potentially including professional history, correspondence content, or research queries, may be used to develop or improve AI models embedded in Thomson Reuters products, with consent sought only where applicable law mandates it rather than as a default practice.
ConductAtlas has identified this type of provision across 290 platforms. See the full comparison.
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