Generated by a model from the captured document; not read by a person
LowPositive for users
Affected users
All usersPremium subscribersBusiness accounts
DeepL's privacy policy was restructured to add three new sections describing customization features: Translation Memories (8.1), Translation Memory Generation (8.2), and Adaptive Translation (8.3). These sections explain how DeepL stores language assets in user accounts, generates translation memories from uploaded documents, and uses embeddings to personalize translations. The policy clarifies that uploaded source documents used for memory generation are deleted immediately after processing and are not used to train models, and that all stored content and embeddings remain within the user's account only.
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Generated by a model from the captured document; not read by a person
The updated policy discloses how DeepL's customization features (Translation Memories, Memory Generation, and Adaptive Translation) process and store user content. The policy states that source documents uploaded for memory generation are deleted immediately after processing and are not used to train models, and that all stored content and embeddings remain within the user's account only and are never shared with other customers. This clarifies the scope and limits of data processing for these features.
Key Clauses Affected
Generated by a model from the captured document; not read by a person
Translation Memory Generation (8.2)
Clarifies that uploaded source and translated documents are deleted immediately after memory generation and are not used to train or improve models.
Adaptive Translation (8.3)
Discloses that embeddings calculated from reference documents are stored account-only, never shared with other customers, and not used for model training.
Full clause-by-clause analysis available with Insight.
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This change record describes what was added, removed, or modified in the document. Analysis reflects what the updated agreement states or permits. It does not constitute a legal determination about enforceability. Applicability may vary by jurisdiction. Methodology
Wording edits to this record that do not change what it claims. Changes to a claim are published as corrections.
2026-10-11 · Feed summary edited · summary regenerated by summarize_events
Previous text Adds three new account-based storage features (Translation Memories, Translation Memory Generation, Adaptive Translation) with explicit language stating data is used only within user accounts and not
2026-10-11 · Impact summary edited · summary regenerated by summarize_events
Previous text The updated terms establish explicit procedures for three new account-based storage and processing features. Translation Memories allow users to store source and target language segments for reuse; Translation Memory Generation processes uploaded document pairs to generate Translation Memories, then deletes the source documents immediately; and Adaptive Translation uses stored Translation Memories and reference documents to customize translations, with numeric representations (embeddings) calculated and stored in the user's account. The policy states that all content and embeddings are used only within the user's own account, never shared with other customers, and never used to train or improve DeepL's models. The policy specifies GDPR Article 6(1)(b) as the legal basis for processing (contract performance). You can deactivate Adaptive Translation in the relevant Style Profile at any time.
2026-10-11 · Summary edited · summary regenerated by summarize_events
Previous text DeepL expanded its privacy policy in an update detected on September 5, 2026 to introduce three new account-based storage features: Translation Memories (allowing users to store source-target segment pairs for reuse), Translation Memory Generation (processing uploaded documents to create Translation Memories, then deleting the source documents), and Adaptive Translation (using stored Translation Memories and reference documents to customize translations to user terminology and style). The policy also added a new section on the DeepL Partner Program, restructured sections on call recording and transcription, and refined the description of customization features. These changes establish explicit data handling procedures for account-level storage and processing but specify that content is used only within the user's own account and not for model training or other customer use.
2026-10-07 · Change line edited · change line rewritten to the 2026-10-07 template: no detection date, no sentence counts
Previous text DeepL updated their DeepL Privacy Policy on September 05, 2026. Change detected: 26 sentence(s) added, 1 sentence(s) removed, 70 sentence(s) modified. Document contained 641 sentences after update.
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Institutional Analysis
Generated by a model from the captured document; not read by a person
Assessment
DeepL expanded its privacy policy to explicitly describe three customization features and their data handling practices. The additions clarify that uploaded documents are deleted after processing, that stored content remains account-specific, and that embeddings are …
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ConductAtlas provides verified policy intelligence sourced directly from platform documents. All analysis is intended to support, not replace, legal and compliance review. Record CA-X-004902.
DeepL added two new statements to its Terms and Conditions: a declaration that only the English language version is legally …
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