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The document states that Apple Intelligence processes tasks using on-device models wherever possible, citing email, message, and notification summaries as examples of features that run entirely on the user's device without data being transmitted externally.
This analysis describes what Apple Intelligence'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 provision establishes that on-device processing is the default architectural approach for Apple Intelligence, with server-side routing to Private Cloud Compute occurring only when the task requires computational capacity beyond what the device can provide. The distinction between on-device and server-side processing is operationally significant for data flow mapping and regulatory classification of personal data processing.
The document establishes that Apple Intelligence defaults to on-device processing for tasks such as generating summaries of emails, messages, and notifications, meaning that data associated with those tasks does not leave the device. Server-side processing via Private Cloud Compute is described as a supplementary pathway for tasks requiring greater computational capacity.
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"When possible, Apple Intelligence models run entirely on device so that a task can be completed without data leaving your device. For example, when Apple Intelligence provides you with preview summaries of your emails, messages, and notifications, these summaries are generated by on-device models.Excerpt from Apple Intelligence's Privacy Report
(1) REGULATORY LANDSCAPE: The on-device processing architecture is relevant to GDPR data minimization and storage limitation principles because it limits the personal data that is transmitted to external systems. CCPA and similar state privacy laws require disclosure of data collection practices, and the on-device architecture limits the categories of data subject to that disclosure for many Apple Intelligence features. (2) GOVERNANCE EXPOSURE: Low. The on-device default reduces data transfer risk and simplifies data flow mapping for compliance purposes. The primary governance consideration is whether the boundary between on-device and server-side processing is clearly defined and consistently implemented in practice. (3) JURISDICTION FLAGS: EU and EEA organizations benefit from the on-device processing approach under GDPR data minimization principles, but should confirm that the determination of which tasks are processed on-device versus via Private Cloud Compute is documented and auditable. (4) CONTRACT AND VENDOR IMPLICATIONS: The on-device processing architecture reduces but does not eliminate the need for data processing documentation covering Apple Intelligence, because server-side routing via Private Cloud Compute remains a conditional pathway. Procurement teams should ensure that Apple's enterprise documentation addresses both processing pathways. (5) COMPLIANCE CONSIDERATIONS: Compliance teams should map which Apple Intelligence features are documented as on-device versus server-side to ensure that data flow records reflect the architecture described in this disclosure, and should monitor Apple's documentation for any changes to the on-device versus server-side processing boundary.
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This provision establishes that on-device processing is the default architectural approach for Apple Intelligence, with server-side routing to Private Cloud Compute occurring only when the task requires computational capacity beyond what the device can provide. The distinction between on-device and server-side processing is operationally significant for data flow mapping and regulatory classification of personal data processing.
The document establishes that Apple Intelligence defaults to on-device processing for tasks such as generating summaries of emails, messages, and notifications, meaning that data associated with those tasks does not leave the device. Server-side processing via Private Cloud Compute is described as a supplementary pathway for tasks requiring greater computational capacity.
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