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 clause establishes a differentiated data handling framework between free and paid service tiers. It specifies that system improvement activities are conditioned on service tier, creating distinct operational parameters for each user class.
Free-tier users operate under terms that authorize DeepL to store and repurpose their submissions for AI development. Pro subscribers operate under terms that restrict such storage and reuse, establishing a contractual distinction between service tiers regarding text data retention and application.
How other platforms handle this
Training Datasets. In some cases, we access datasets provided by third parties for our model training purposes. These datasets may include personal data (even if such third parties and Mistral AI use good practices to filter out such personal data), proprietary data, or public data. [...] Data publi...
Only models with a post-mitigation score of "medium" or below can be deployed. Only models with a post-mitigation score of "high" or below can be developed further.
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"If you use the free version of our services, DeepL may store the texts you submit and use them to improve our translation and other AI systems. DeepL Pro subscribers benefit from a higher level of data protection: DeepL does not store texts submitted by DeepL Pro subscribers and does not use them to improve our systems.— Excerpt from DeepL's DeepL Terms and Conditions
How Meta, TikTok, and Supabase restructured governance language across documents, jurisdictions, and consent frameworks through incremental document updates.
How 10 AI platforms describe the use of user data for model training, improvement, and development, based on archived governance provisions.
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The clause establishes a differentiated data handling framework between free and paid service tiers. It specifies that system improvement activities are conditioned on service tier, creating distinct operational parameters for each user class.
Free-tier users operate under terms that authorize DeepL to store and repurpose their submissions for AI development. Pro subscribers operate under terms that restrict such storage and reuse, establishing a contractual distinction between service tiers regarding text data retention and application.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by DeepL.