{"schema":"https://policywatcher.online/schemas/evidence-packet/v1","schemaVersion":"1.1.0","mappingVersion":"2026-07-29.1","changeId":"cc94dcd8-eca9-46b1-8e0a-1c6a249606f4","screeningDate":"2026-11-07T19:38:43.520Z","publicationGate":"published","company":{"id":"83da1ad9-8891-4372-a9db-bdf82c894d2a","name":"Anthropic","slug":"anthropic","industry":"Tech Giant"},"policy":{"id":"6c74b17f-dccf-4395-a310-04a7476dad31","name":"Terms of Service","type":"terms","jurisdiction":"Global","sourceUrl":"https://www.anthropic.com/legal/terms"},"sourceConfidence":{"state":"verified-retrieval","lastCheckedAt":"2026-11-07T19:38:43.506Z","retrievalChannel":"direct","dataStatus":"Available","publicSnapshotEvidence":true,"limitation":"Source confidence describes recorded retrieval and publication state. 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It does not prove provider execution, semantic completeness or legal correctness."},"captureLineage":{"old":{"provenance":"unknown","sourceUrl":null,"requestedUrl":null,"finalUrl":null,"capturedAt":"2026-07-06T07:20:18.626Z","urlDisclosure":"credentials-query-fragment-redacted"},"current":{"provenance":"captured","sourceUrl":"https://www.anthropic.com/legal/terms","requestedUrl":"https://www.anthropic.com/legal/terms","finalUrl":"https://www.anthropic.com/legal/consumer-terms","capturedAt":"2026-11-07T19:38:43.506Z","urlDisclosure":"credentials-query-fragment-redacted"}},"assessment":{"summary":"Anthropic's updated Terms of Service contain no material changes, maintaining existing policies on data use, AI training opt-out, and user rights.","overallRisk":"Medium","overallScore":6,"previousPublicChange":null,"scoreDelta":null,"direction":"baseline","reasons":[{"icon":"warning","textEn":"AI training opt-out has exceptions for feedback and safety reviews.","textIt":"L'opt-out dall'addestramento AI ha eccezioni per feedback e revisioni di sicurezza.","deltaScore":0,"evidenceQuote":"Even if you opt out, we will use Materials for model training when: (1) you provide Feedback to us regarding any Materials, or (2) your Materials are flagged for safety review to improve our ability to detect harmful content, enforce our po","evidenceSide":"new","relatedKpi":"kpiAiTrainingOptOut","anchorStatus":"verified"},{"icon":"alert","textEn":"Anthropic can report user data to law enforcement at its sole discretion.","textIt":"Anthropic può segnalare i dati degli utenti alle forze dell'ordine a sua esclusiva discrezione.","deltaScore":0,"evidenceQuote":"We reserve the right, at our sole discretion, to report information from or about you, including but not limited to Inputs or Outputs, to law enforcement.","evidenceSide":"new","relatedKpi":"kpiRegulatoryCompliance","anchorStatus":"verified"},{"icon":"warning","textEn":"No clear data retention periods are specified for general user data.","textIt":"Non sono specificati chiari periodi di conservazione dei dati per i dati utente generici.","deltaScore":0,"evidenceQuote":null,"evidenceSide":null,"relatedKpi":"kpiDataRetention","anchorStatus":"not-recorded"}],"keyPoints":[{"textEn":"Users can opt-out of their data being used for AI model training, but exceptions apply for feedback and safety reviews.","textIt":"Gli utenti possono disattivare l'uso dei loro dati per l'addestramento dei modelli AI, ma si applicano eccezioni per feedback e revisioni di sicurezza.","sentiment":"neutral"},{"textEn":"You retain ownership of your inputs, and Anthropic assigns output rights to you, promoting user control over content.","textIt":"Mantieni la proprietà dei tuoi input e Anthropic ti assegna i diritti sugli output, promuovendo il controllo dell'utente sui contenuti.","sentiment":"positive"},{"textEn":"The policy disclaims accuracy for AI outputs, advising users to independently verify information before relying on it.","textIt":"La politica declina la responsabilità sull'accuratezza degli output AI, consigliando agli utenti di verificare le informazioni.","sentiment":"negative"},{"textEn":"EU and Swiss consumers benefit from specific legal rights, including a 14-day cancellation period for subscriptions.","textIt":"I consumatori UE e svizzeri godono di diritti legali specifici, incluso un periodo di recesso di 14 giorni per gli abbonamenti.","sentiment":"positive"}],"regionImpacts":[{"region":"EU","perspective":"Enterprise","riskLevel":"Medium","impactAnalysisEn":"No material changes were found. Enterprises using Anthropic's services should note that employee accounts using business emails may be monitored by their organization. The policy's data portability clause offers some compliance support for DORA, but specific contractual terms for enterprise use are governed by Commercial Terms of Service.","complianceNoteEn":"DORA, GDPR Art. 28"},{"region":"EU","perspective":"Individual","riskLevel":"Medium","impactAnalysisEn":"No material changes were found. Individuals in the EU and Switzerland retain specific consumer rights under local laws, including a 14-day cancellation right for subscriptions. Data processing for AI training has an opt-out, but with exceptions for feedback and safety reviews, which aligns partially with GDPR principles.","complianceNoteEn":"GDPR Art. 17, 21"},{"region":"Global","perspective":"Enterprise","riskLevel":"Medium","impactAnalysisEn":"No material changes were found. Global enterprises must ensure their use of Anthropic's services aligns with local data protection and AI governance regulations. The policy's general nature for individual users means specific enterprise agreements are crucial for comprehensive compliance.","complianceNoteEn":null},{"region":"Global","perspective":"Individual","riskLevel":"Medium","impactAnalysisEn":"No material changes were found. Globally, users benefit from retaining input ownership and assignment of output rights. However, the broad disclaimer on AI output accuracy and the potential for data reporting to law enforcement are significant considerations for all users.","complianceNoteEn":null},{"region":"US","perspective":"Enterprise","riskLevel":"Medium","impactAnalysisEn":"No material changes were found. US enterprises should consider the implications of data use for AI training and the company's discretion to report data to law enforcement. The policy's non-commercial use clause for individual services means enterprises need to refer to Commercial Terms for business use.","complianceNoteEn":null},{"region":"US","perspective":"Individual","riskLevel":"Medium","impactAnalysisEn":"No material changes were found. US individuals should be aware of the broad data usage for model training, even with an opt-out, and the company's right to report data to law enforcement. State-specific privacy laws like CCPA/CPRA may offer additional rights not explicitly detailed here.","complianceNoteEn":"CCPA/CPRA"}],"explanationBoundary":"Score reasons and deltaScore values are stored AI-assisted screening outputs. Verified anchors confirm only that the quoted passage occurs in the named snapshot; they do not prove the interpretation."},"governance":{"boundary":"Mappings identify review relevance between recorded PolicyWatcher KPI fields and framework topics. They are not legal interpretations, conformity assessments, certifications or compliance verdicts.","mappings":[{"framework":{"id":"eu-ai-act","name":"Regulation (EU) 2024/1689 (EU AI Act)","shortName":"EU AI Act","referenceUrl":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","referenceVersion":"Official Journal text, 2024","reviewQuestion":"Which recorded policy statements may be relevant to transparency, automated decisions, data use and human oversight review?","kpiFields":["kpiAiTrainingOptOut","kpiAlgoTransparency","kpiAutomatedDecision","kpiAiBiasFairness"]},"status":"mapped","assessedCount":4,"mappedFieldCount":4,"evidence":[{"field":"kpiAiTrainingOptOut","label":"AI training opt-out","value":"Opt-Out"},{"field":"kpiAlgoTransparency","label":"Algorithmic transparency","value":"Opaque"},{"field":"kpiAutomatedDecision","label":"Automated decisions","value":"Opaque"},{"field":"kpiAiBiasFairness","label":"AI bias and fairness","value":"Absent"}]},{"framework":{"id":"iso-42001","name":"ISO/IEC 42001:2023","shortName":"ISO/IEC 42001","referenceUrl":"https://www.iso.org/standard/42001","referenceVersion":"ISO/IEC 42001:2023 overview","reviewQuestion":"Which recorded policy statements may inform an AI management-system review of transparency, risk oversight and independent assurance?","kpiFields":["kpiAlgoTransparency","kpiAiBiasFairness","kpiIndependentAudit","kpiRegulatoryCompliance"]},"status":"mapped","assessedCount":4,"mappedFieldCount":4,"evidence":[{"field":"kpiAlgoTransparency","label":"Algorithmic transparency","value":"Opaque"},{"field":"kpiAiBiasFairness","label":"AI bias and fairness","value":"Absent"},{"field":"kpiIndependentAudit","label":"Independent audit","value":"Absent"},{"field":"kpiRegulatoryCompliance","label":"Regulatory compliance","value":"Partial"}]},{"framework":{"id":"nist-ai-rmf","name":"NIST AI Risk Management Framework 1.0","shortName":"NIST AI RMF","referenceUrl":"https://www.nist.gov/itl/ai-risk-management-framework","referenceVersion":"AI RMF 1.0; NIST revision in progress, checked 2026-07-29","reviewQuestion":"Which recorded policy statements may support Govern, Map, Measure or Manage review questions?","kpiFields":["kpiAlgoTransparency","kpiAutomatedDecision","kpiAiBiasFairness","kpiContentModeration"]},"status":"mapped","assessedCount":4,"mappedFieldCount":4,"evidence":[{"field":"kpiAlgoTransparency","label":"Algorithmic transparency","value":"Opaque"},{"field":"kpiAutomatedDecision","label":"Automated decisions","value":"Opaque"},{"field":"kpiAiBiasFairness","label":"AI bias and fairness","value":"Absent"},{"field":"kpiContentModeration","label":"Content moderation","value":"Partial"}]},{"framework":{"id":"oecd-ai-principles","name":"OECD AI Principles","shortName":"OECD AI Principles","referenceUrl":"https://oecd.ai/en/ai-principles","referenceVersion":"OECD AI Principles, updated 2024","reviewQuestion":"Which recorded policy statements may be relevant to transparency, fairness, accountability and user agency review?","kpiFields":["kpiConsentMechanism","kpiAlgoTransparency","kpiAiBiasFairness","kpiIndependentAudit"]},"status":"mapped","assessedCount":4,"mappedFieldCount":4,"evidence":[{"field":"kpiConsentMechanism","label":"Consent mechanism","value":"Implicit"},{"field":"kpiAlgoTransparency","label":"Algorithmic transparency","value":"Opaque"},{"field":"kpiAiBiasFairness","label":"AI bias and fairness","value":"Absent"},{"field":"kpiIndependentAudit","label":"Independent audit","value":"Absent"}]}]},"humanReviewQuestions":["Does the original Terms of Service source still match the recorded public snapshot version 2?","Do the cited source passages support each displayed reason, KPI value and regional note?","Which advisory framework topics require specialist legal, risk or governance review for this use case?","Has a later public change superseded this packet before it is reused in a decision or publication?"],"methodologyUrl":"https://policywatcher.online/methodology/confidence","changeUrl":"https://policywatcher.online/change/cc94dcd8-eca9-46b1-8e0a-1c6a249606f4","boundary":"This packet records PolicyWatcher evidence and AI-assisted screening for one public change. It is not legal advice, a compliance verdict, a certification, or proof that the external source remains unchanged.","contentDigest":"3fae1d6f8240e4a810f047cc4b33a247c8393a8769c4348632c216c4115bfe54"}