AI email sorting processes personal data, including sender addresses, subjects and message excerpts. Whether that processing is appropriate for your organization depends on its purpose, legal basis, recipients and retention—not on a product’s “private AI” label.
Separate reading, transmission and retention
The application accesses the mailbox to process messages. Its per-message classifier constructs a model prompt from the sender, subject and up to 1,000 characters of the body preview. Sender categorization uses shorter sampled previews, up to 500 characters each. These code limits do not prove that an entire email’s processing footprint is confined to those fields.
History keeps metadata and action information rather than a complete copy of the message body. Subjects and sender addresses can still be personal data. An invoice number or a person’s name may appear in a subject, so “metadata only” does not mean “no sensitive information.” Also assess operational logs, backups and the selected model provider’s retention policy.
Check every recipient of message data
| Configuration or action | Privacy question |
|---|---|
| Hosted application with your own model | Who operates the application that accesses the mailbox? |
| Custom model endpoint | Is a default provider configured as a fallback if it fails? |
| Self-hosted application and local model | Do configuration and observed network traffic exclude external inference? |
| Forwarding with a summary | Is the recipient authorized to receive the original message too? |
In the current code, a custom endpoint can fall back to a configured default model provider. Selecting your own model does not exclude external processing. Forwarding attaches the original message as forwarded.eml; an AI summary does not limit disclosure to that summary.
Make minimization specific to the task
GDPR Article 5 sets the principles for personal-data processing. For a sorting workflow, document which fields each step needs, who receives them and how long they remain available. There is no universal rule that a sender and subject are always sufficient or that using a short preview establishes compliance.
Start a deployment review with a synthetic message. Trace normal classification, a model failure and a forwarding action. Do not use client or employee correspondence as an unapproved test set. Record the relevant agreements and transfer arrangements for your actual providers.
What is verified here
The field limits, conditional provider fallback and original-message attachment were checked against the application source. This is not a legal assessment, a certification or an end-to-end privacy audit of a deployment. See Bring Your Own LLM, private sorting and forwarding behavior for the product boundaries.