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
The restriction prevents DeepL from pooling or cross-applying one customer's Training Data to benefit other customers or DeepL's general models.
The customer's Training Data is contractually ring-fenced to their own use case and cannot be applied by DeepL to other customers or broader purposes.
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We evaluate Service Data to help us improve the performance and functionality of Cloud Services.
Where the law allows us to, we may use the content you and other users have posted for training or to help us to improve the way we filter content on our platform.
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"DeepL shall only make use of Customer Training Data exclusively in connection with the translations or improvements of the respective Customer.— Excerpt from DeepL's DeepL Terms and Conditions
We read the privacy policies and terms of service of 38 AI platforms. Here is what they say about training, retention, arbitration, and liability.
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The restriction prevents DeepL from pooling or cross-applying one customer's Training Data to benefit other customers or DeepL's general models.
The customer's Training Data is contractually ring-fenced to their own use case and cannot be applied by DeepL to other customers or broader purposes.
ConductAtlas has identified this type of provision across 277 platforms. See the full comparison.
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