You keep ownership of the data and content you put into Anyscale, but you give Anyscale a free license to use it to run and improve the platform.
This analysis describes what Anyscale'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 clause establishes the ownership framework and permitted scope of Anyscale's use rights. By limiting Anyscale's license to what is necessary for service provision, the clause defines the boundary between user ownership and Anyscale's operational rights.
While users retain ownership of their data, the broad license granted to Anyscale to use, copy, and modify user content to provide the services could encompass sensitive proprietary training data and model weights, creating IP confidentiality risk for enterprise users.
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"As between you and Anyscale, you retain ownership of any content or data you submit to the Services. By submitting content to the Services, you grant Anyscale a worldwide, non-exclusive, royalty-free license to use, copy, modify, and distribute such content solely to the extent necessary to provide the Services to you.— Excerpt from Anyscale's Anyscale Terms of Service
(1) REGULATORY FRAMEWORK: Implicates US copyright law (17 U.S.C.); trade secret law (Defend Trade Secrets Act 18 U.S.C. §1836); GDPR Art. 6 (lawful basis for processing user-submitted personal data); CCPA §1798.100 (rights over personal information submitted by users); and EU AI Act obligations regarding data governance for high-risk AI systems (Chapter III). (2)
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This clause establishes the ownership framework and permitted scope of Anyscale's use rights. By limiting Anyscale's license to what is necessary for service provision, the clause defines the boundary between user ownership and Anyscale's operational rights.
While users retain ownership of their data, the broad license granted to Anyscale to use, copy, and modify user content to provide the services could encompass sensitive proprietary training data and model weights, creating IP confidentiality risk for enterprise users.
ConductAtlas has identified this type of provision across 1 platforms. See the full comparison.
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