If you pay for a DeepL Pro subscription, the text you submit for translation will not be used to improve or train DeepL's AI models. DeepL states it only processes your text to deliver the translation itself.
This analysis describes what DeepL'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 commitment is particularly important for users who translate confidential, proprietary, or sensitive documents, as it limits how DeepL can use the content they submit.
Interpretive note: The commitment applies to paid Pro subscribers; the document does not clearly specify whether equivalent protections apply to free-tier users or to content submitted via third-party integrations, creating scope uncertainty.
Paid Pro subscribers receive a contractual assurance that their submitted text is not used for AI training purposes, which meaningfully limits DeepL's use of potentially sensitive content. This protection is stated as contractual and is not independently audited or verified within the document itself.
How other platforms handle this
We use information to enhance the quality, reliability, and/or accuracy of our AI Features by creating, developing, training, testing, improving, and maintaining AI and ML models run by Strava or our service providers. We use aggregated, de-identified data for this purpose. We also use personal info...
Depending on where you are located, you may have certain rights regarding your personal information, including the right to access, correct, delete, or restrict processing of your personal information, the right to data portability, and the right to object to or withdraw consent for certain processi...
Depending on your location, you may have certain rights regarding your personal data, including the right to access, correct, delete, or port your data. EU and UK users may also have the right to object to or restrict certain processing. California residents may have the right to know, delete, corre...
Monitoring
DeepL has changed this document before.
Receive same-day alerts, structured change summaries, and monitoring for up to 25 platforms.
"Texts submitted for translation by customers with a paid DeepL Pro subscription are not used to train DeepL's AI systems. DeepL processes submitted texts only to provide the translation service.— Excerpt from DeepL's DeepL Terms and Conditions
REGULATORY LANDSCAPE: This provision engages GDPR, particularly around lawful basis for processing (Article 6), purpose limitation (Article 5(1)(b)), and data minimisation principles. For enterprise customers processing personal data of employees or clients through DeepL, this commitment is relevant to the scope of any Data Processing Agreement under Article 28. The EU AI Act may also be relevant depending on how DeepL's translation models are classified, as training data sourcing is a regulated consideration under that framework. GOVERNANCE EXPOSURE: Medium. The commitment is contractual and meaningful, but the document does not specify audit rights, independent certification, or technical controls that verify compliance with this commitment. This creates a governance gap for enterprise customers who need to demonstrate vendor compliance to their own regulators or clients. JURISDICTION FLAGS: EU/EEA enterprise customers processing personal data through DeepL should ensure a GDPR-compliant DPA is in place and that this no-training commitment is reflected in the DPA's purpose limitation clauses. US customers in regulated industries such as healthcare and financial services should assess whether this contractual commitment satisfies sector-specific data handling requirements. CONTRACT AND VENDOR IMPLICATIONS: Procurement and vendor management teams should confirm that this no-training commitment is incorporated into any executed DPA or master services agreement. The absence of specified audit rights means enterprise customers cannot independently verify compliance, which may be a gap for high-risk data categories. Customers should request written confirmation or supplementary assurances if their data classification policies require it. COMPLIANCE CONSIDERATIONS: Data mapping exercises should reflect this purpose limitation for Pro subscriber content. If an organization's data protection impact assessment (DPIA) covers use of translation services, this commitment should be documented as a mitigating control. Free-tier users should separately review whether equivalent protections apply to their submitted content.
Full compliance analysis
Regulatory citations, enforcement risk, and due diligence action items.
Free: track 1 platform + weekly digest. Monitor: 25 platforms + same-day alerts. No credit card required.
Ad personalization controls removed. Contact scanning added. Advertiser data partnerships quietly dropped. A timeline of every change.
Compliance Governance Intelligence
Need to monitor specific governance provisions?
Compliance includes provision-level monitoring, governance timelines, regulatory mapping, and audit-ready analysis.
Built from archived source documents, structured governance mappings, and historical version tracking.
This commitment is particularly important for users who translate confidential, proprietary, or sensitive documents, as it limits how DeepL can use the content they submit.
Paid Pro subscribers receive a contractual assurance that their submitted text is not used for AI training purposes, which meaningfully limits DeepL's use of potentially sensitive content. This protection is stated as contractual and is not independently audited or verified within the document itself.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by DeepL.