Security·6 min read·By Angel Translation Corp.·Updated Oct 2026

Is AI Translation Secure? Data Retention, NDA, and Model Training Explained

What actually happens to your files in an AI-assisted workflow: retention, training use, NDA coverage, and the questions to ask any vendor.

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Who this is forLegal, IT security and compliance teams reviewing a language vendor.

The risk is the tool, not the concept

Security depends on the specific service, account settings, features and agreement. A consumer chat account and an enterprise API may have different controls; neither label alone proves that a particular file is suitable to upload.

Separate model-training use from retention, access and transfer location. A no-training policy is not a zero-retention policy. For example, OpenAI documents default API abuse-monitoring retention and separate eligibility for reduced-retention controls; verify the endpoint and configuration actually proposed for your project.

The questions that actually distinguish vendors

Does content get used to train models? Where is it stored, and for how long? Does NDA coverage extend to the linguists and reviewers, or only to the company you contract with? What happens to the files at project end?

That third question separates providers more than any other. A vendor whose NDA covers only the corporate entity, while work is distributed to freelancers under no equivalent obligation, has a gap where it matters most.

Record the service and endpoint, subprocessors, transfer and storage locations, retention of files and logs, deletion exceptions, permitted users and evidence of the selected settings. An NDA does not itself configure these controls or establish compliance with privacy law.

How we handle it

Our published confidentiality policy describes need-to-know access and confidentiality obligations for the people handling the work. If your project requires no training use, tell us before sharing files so the processing route and terms can be confirmed.

Before sending sensitive files, agree any client NDA and special requirements for AI use, personal data, location, retention or destruction. ISO 17100 and ISO 9001 are not information-security certifications and do not establish a particular data residency or zero-retention configuration.

Before files change hands

For regulated or sensitive data, confirm the processing route first. If the proposed controls do not meet your requirements, resolve the gap before sharing the files.

Security briefingKeep policy promises separate from project-specific evidence.
Ask forEvidence to record
Training usePolicy, contractual terms and relevant opt-in settings.
Retention and locationEndpoint-specific storage and log rules, locations and deletion exceptions.
Access and confidentialityNamed roles, subcontractor obligations and signed special terms.

Questions

Will our documents be used to train an AI model?
If no-training is required for your project, tell us before sharing files so we can confirm the processing route and applicable terms. Retention and deletion requirements can be agreed at the same time.
Does your NDA cover the individual translators?
Our policy requires appropriate confidentiality terms for the people handling client material, including reviewers. Request evidence of the coverage required for your project before work starts.
Can you work under our NDA rather than yours?
We can review your NDA template. Send it before confidential files so any changes can be agreed and signed before the material is shared.
What happens to our files after delivery?
Our general policy permits retention needed for delivery and legitimate business or legal obligations. Agree a project-specific removal schedule and any exceptions at the start if required.

Sources

  • OpenAI — API data controlsExample of a provider distinguishing training use, abuse-monitoring logs and feature-specific storage. This does not verify Angel’s account settings.

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