114 Total
50 High severity
49 Medium severity
15 Low severity
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Summary

This document governs the terms under which businesses and individual developers access Anyscale's machine learning platform, including payment obligations, data handling, intellectual property rights, and dispute resolution. Anyscale explicitly states it will not use Customer data (Customer Property) to train or improve AI models, but the terms do authorize sharing Customer Property with third-party AI Services when Customers use Support or Optimization Services. Individual US-based users are subject to mandatory binding arbitration through the AAA and a class action waiver, while business users resolve disputes exclusively in California courts.

Analysis

These Platform Terms and Conditions govern Customer access to Anyscale's proprietary machine learning platform services, executed via Order Forms referencing these Terms, with the agreement incorporating by reference a Data Processing Addendum (DPA) and a Data Security Addendum. The terms authorize Anyscale to collect and use Usage Data (log data, metadata, object properties, configuration and performance data) to develop and improve its products, subject to a confidentiality carve-out, and expressly state that Anyscale shall not use Customer Property to train, fine-tune, or improve any AI or machine learning model; the terms further authorize sharing of Customer Property with third-party AI Services for Support and Optimization Services, with Customer's acknowledged consent. Notably, the agreement includes a tiered liability cap structure: general claims are capped at fees paid in the prior 12 months, Data Protection Claims are capped at two times that amount, and Beta Services and free-tier services carry a separate $5,000 USD cap regardless of damages; the arbitration clause applies only to individual (non-business) users based in the United States and requires individual arbitration via the AAA with a class action waiver, while business users are directed to California courts. The DPA and Data Security Addendum engage GDPR, CCPA, and related data protection frameworks, and their applicability depends on whether Customer qualifies as a business entity processing personal data; the arbitration and class action waiver provisions may interact with applicable consumer protection regulations in certain jurisdictions, and the Beta Services liability cap of $5,000 may warrant evaluation where Optimization Services are deployed in production contexts.

What this means for you

The agreement establishes that Customer Property will not be used to train or improve AI models, but authorizes Anyscale to share Customer Property with third-party AI Services when Support or Optimization Services are used, as acknowledged by the Customer. Under these terms, individual US-based users are required to resolve disputes through binding individual arbitration administered by the AAA, with class or representative actions not permitted. You can close your Anyscale account within 30 days of receiving notice of any amendment to the arbitration agreement to avoid being bound by the updated arbitration terms.

Institutional Analysis
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Which mapped governance frameworks each document engages, tied to the specific provisions that engage them.

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Complete Provision Index

Every distinct legal provision identified in this document. Featured provisions appear above with analysis.

114 provisions
12 featured
19 clause types
50 high severity
General Contract Terms 30 9 high
Show all 30 general contract terms provisions
Disclosure and Transparency Requirements 2 1 high
Export Controls & Sanctions 1 1 high
Policy Changes 1 1 high
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Mapped Governance Frameworks

CCPA/CPRA
California, USA
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CFAA
United States Federal
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Connecticut Data Privacy Act Amendments
US-CT
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FAA
United States Federal
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FTC Act Section 5
United States Federal
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GDPR
European Union
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Indiana Consumer Data Protection Act
US-IN
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Kentucky Consumer Data Protection Act
US-KY
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Trump Executive Order on AI Policy Framework
US
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Universal Opt-Out Mechanism Expansion 2026
US
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Archival ProvenanceSource & Archival Record
Last Captured September 20, 2026 01:15 UTC
Capture Method Automated scheduled archival capture
Document ID CA-D-000657
Version ID CA-V-007070
SHA-256 5cf531057c24da1550da5f03720d62daeaaca71d57f2609049c665048927d331
✓ Snapshot stored ✓ Text extracted ✓ Change verified ✓ Hash verified

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