Harvey collects publicly available information, including court judgments, decisions, and public filings, and uses this information to develop, train, and improve its AI platform. This category of information is listed as a data source across multiple processing purposes throughout the policy.
This analysis describes what Harvey AI'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
Publicly available information about individuals or entities may be incorporated into Harvey AI's training data without those individuals being Harvey AI customers or having any direct relationship with Harvey AI.
Interpretive note: The excerpt states two independent purposes for collecting publicly available information: (1) to offer and provide Services, and (2) to develop, train, and improve the AI platform. The canonical claim states the primary AI training purpose; the service-offering purpose is recorded in omitted_material.
Under this provision, publicly available information including judgments, decisions, and public filings may be collected and used to train Harvey's AI models. The agreement states that Harvey does not attempt to reidentify de-identified or aggregated data unless required by law, and a linked resource describes the sources and privacy impact minimization steps taken in connection with AI training data.
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"We collect publicly available information about customers and prospects to help offer and provide our Services. We use publicly available information (for example, judgments, decisions, public filings, etc.,) to develop, train, and improve our AI platform ("Publicly Available Information").Excerpt from Harvey AI's Privacy Policy
(1) REGULATORY LANDSCAPE: This provision may require evaluation under GDPR's data minimization and purpose limitation principles (Articles 5 and 6) in the context of using publicly available personal data for AI training, particularly where individuals …
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Publicly available information about individuals or entities may be incorporated into Harvey AI's training data without those individuals being Harvey AI customers or having any direct relationship with Harvey AI.
Under this provision, publicly available information including judgments, decisions, and public filings may be collected and used to train Harvey's AI models. The agreement states that Harvey does not attempt to reidentify de-identified or aggregated data unless required by law, and a linked resource describes the sources and privacy impact minimization steps taken in connection with AI training data.
ConductAtlas has identified this type of provision across 279 platforms. See the full comparison.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by Harvey AI.