DeepL enterprise DPA: how do we request it and what does it cover for GDPR?
Language Translation AI

DeepL enterprise DPA: how do we request it and what does it cover for GDPR?

11 min read

Most legal and security teams reach the same point with any AI or translation vendor: “Show us the DPA, prove GDPR compliance, and clarify exactly what happens to our data.” DeepL Enterprise is designed for that level of scrutiny—and the Data Processing Agreement (DPA) is a core part of the documentation set.

Below, I’ll walk through how to request DeepL’s enterprise DPA, what it typically covers from a GDPR perspective, and how it fits into a broader due‑diligence and rollout process.


How to request the DeepL Enterprise DPA

For enterprise customers and organizations evaluating DeepL, the DPA is usually shared as part of the sales and legal review process rather than as a “click-to-download” file on the homepage.

1. Contact Sales to initiate the process

To obtain the DeepL Enterprise DPA:

  • Go to: deepl.com/contact-us
  • Under “Contact Sales” (or similar), provide:
    • Your company name and country
    • Intended use cases (e.g., “legal document translation,” “customer support,” “internal knowledge base,” “multilingual meetings with DeepL Voice for Meetings”)
    • Approximate team size / usage volume
    • A short note that you’d like to review DeepL’s DPA and GDPR documentation as part of vendor assessment

Behind the scenes, this triggers a sales-led process where:

  • Your account executive shares the standard DPA and relevant security/compliance factsheets
  • If needed, they loop in DeepL’s legal and security teams for specific GDPR or data residency questions

2. Align the DPA with your chosen DeepL products

DeepL’s Enterprise offering is modular. When you request the DPA, be explicit about which surfaces you intend to use:

  • DeepL Translator (web, desktop, browser extensions, add-ins for Word/Outlook/PowerPoint, etc.)
  • DeepL Write Pro (for editing and improving business writing)
  • DeepL Voice for Meetings (multilingual subtitles and translations in Microsoft Teams and Zoom)
  • DeepL API (embedding translation into your own apps, systems, or products)
  • DeepL Agent (AI coworker for automating routine language tasks from simple instructions)

This matters because:

  • Data flows differ slightly between text translation, document translation, voice/subtitles, and API usage.
  • Your internal records of processing (RoPA) and DPIAs should reflect the correct product-specific behavior.

When you request the DPA, you can phrase it like:

“We’re evaluating DeepL Enterprise for [Translator, Write Pro, Voice for Meetings, API]. Please provide the corresponding DPA and GDPR documentation, including details on data processing, retention, and training usage.”

3. Use the DPA alongside security & compliance documentation

For a robust GDPR assessment, legal and security teams will typically review:

  • DPA – contractual GDPR commitments and data-processing details
  • Security & compliance docs – confirming:
    • ISO 27001, SOC 2 Type II, HIPAA, GDPR alignment
    • Availability (e.g., 99.9% for Enterprise)
    • Access control and admin features (SSO/MFA, SCIM/SCIM-like user provisioning, domain capture, audit logs)
  • Product-specific data-handling statements, such as:
    • For DeepL Pro/Enterprise: Content is deleted after processing and not used for model training
    • For Voice for Meetings: Transcription/translation data is not permanently stored

You can combine these into your internal vendor risk assessment and DPIA.


What DeepL’s Enterprise DPA covers for GDPR

Every vendor’s DPA has its own structure, but DeepL’s should address the same core GDPR questions your legal team will ask: who is doing what, with which data, where, under which safeguards, and for how long.

Below are the key areas you can expect the DeepL Enterprise DPA to cover and how they map to GDPR obligations. This is descriptive, not a substitute for reading the actual contract.

1. Roles under GDPR: controller vs processor

The DPA clarifies roles and responsibilities:

  • Customer – acts as the data controller
    • Determines the purposes and means of processing (e.g., “translate contracts for cross-border deals”)
    • Decides what content is sent to DeepL and which features are enabled
  • DeepL – acts as the data processor
    • Processes personal data only on documented instructions from the controller (GDPR Art. 28)
    • Provides tools and information to help the controller meet their GDPR duties

In practice, that means:

  • Your internal policies should control what types of personal data employees are allowed to process via DeepL.
  • DeepL commits, in the DPA, not to repurpose your Enterprise/Pro content for model training or unrelated purposes.

2. Categories of data and data subjects

The DPA typically describes:

  • Categories of personal data
    Examples (depending on your use case):
    • Names, job titles, contact details in contracts and emails
    • Customer support content (tickets, chat logs)
    • HR data in policies and internal communications
    • Meeting speech content when using DeepL Voice for Meetings
  • Categories of data subjects
    • Employees
    • Customers and prospects
    • Vendors and partners
    • Other individuals referenced in documents or meetings

From a GDPR perspective, this helps you populate your records of processing activities and DPIAs with realistic categories and risk profiles.

3. Purpose and nature of processing

DeepL’s DPA sets clear purposes for processing, tied to the services you use:

  • Machine translation of text and files in 100+ languages, while preserving layout and visual context
  • Editing and rewriting business communication with DeepL Write Pro (style, tone, clarity improvements)
  • Multilingual subtitles and transcription for meetings via DeepL Voice for Meetings
  • Programmatic translation via DeepL API (e.g., in customer support, product interfaces, document pipelines)
  • Operational and security purposes – e.g., service monitoring, fraud detection, troubleshooting

This matters for GDPR because:

  • Processing must be purpose-limited and necessary for providing the contracted services (Art. 5(1)(b) & (c)).
  • The DPA ensures DeepL can’t arbitrarily expand processing purposes without your consent.

4. Data retention and deletion

One of the most critical GDPR points is: how long is data kept, and can we ensure deletion? DeepL’s product positioning for Pro/Enterprise is clear:

  • Content processed via DeepL Pro/Enterprise is deleted after processing and is not used for training the models.

The DPA typically operationalizes this with:

  • Commitments to delete or anonymize personal data after:
    • It has been translated/processed and delivered back to you, or
    • Your contract ends and the grace period for backup and legal holds passes
  • Clarification of:
    • How long logs or metadata (e.g., timestamps, language pairs, technical identifiers) are retained
    • Whether you have administrative tools or support channels to request deletion earlier where feasible

For GDPR, this helps demonstrate compliance with:

  • Storage limitation (Art. 5(1)(e))
  • Right to erasure (Art. 17), to the extent technically feasible for a processor

5. Data location and international transfers

Multinational companies will look closely at where data is processed and whether transfers outside the EEA are involved.

The DeepL Enterprise DPA will typically:

  • Identify processing locations (e.g., EU data centers and any other regions in use)
  • Confirm that, if personal data is transferred outside the EEA/UK:
    • This is done under valid transfer mechanisms (e.g., Standard Contractual Clauses)
    • DeepL has implemented appropriate technical and organizational measures (TOMs) to protect the data
  • Reference DeepL’s certifications and standards (ISO 27001, SOC 2 Type II, HIPAA, GDPR alignment) as part of the safeguards

For your GDPR documentation, you can then:

  • Record DeepL as a processor potentially involving third-country transfers, if applicable
  • Link to the DPA and transfer mechanisms to support Art. 46 compliance

6. Security measures (Art. 32 GDPR)

Enterprise-grade security is explicitly part of DeepL’s positioning. The DPA is usually accompanied by a security schedule or annex describing:

  • Organizational measures
    • Information security management aligned with ISO 27001
    • SOC 2 Type II controls
    • Policies for access control, secure development, incident response, and vendor management
  • Technical measures
    • Encryption in transit and at rest
    • Network security and segregation
    • Secure authentication (with SSO/MFA available for Enterprise)
    • Role-based access and least-privilege principles
  • Operational controls
    • 99.9% availability commitment for Enterprise
    • Logging and monitoring for anomalous behavior
    • Support for enterprise administration (e.g., domain capture, SCIM for provisioning, audit-logging of user activity where supported)

Your security team can map these measures directly to GDPR Art. 32’s requirement for appropriate technical and organizational measures, taking into account:

  • The nature of data you process (e.g., legal documents, health-related messaging under HIPAA, financial contracts)
  • The volume and sensitivity of content
  • Your own baseline security standards

7. Subprocessors and third-party access

Under GDPR, controllers must know which subprocessors a vendor relies on. DeepL’s DPA typically:

  • Lists current subprocessors or links to a maintained list
  • Describes:
    • The nature of services each subprocessor provides (e.g., hosting infrastructure)
    • The locations in which they operate
  • Commits to:
    • Flowing down equivalent contractual obligations to subprocessors
    • Giving you advance notice of changes (e.g., new subprocessors) and sometimes a mechanism to object

In your documentation, you can:

  • Register DeepL’s subprocessors in your internal vendor map
  • Align this with your third-party risk program and assessments

8. Data subject rights (Art. 15–22)

As a processor, DeepL assists you—the controller—in fulfilling data subject rights:

  • The DPA typically includes obligations to:
    • Support you in responding to access, rectification, erasure, restriction, portability, and objection requests, where technically feasible
    • Promptly forward any data subject requests it receives directly that relate to your content
  • Practically, you will:
    • Centralize DSAR handling internally
    • Where necessary, raise tickets with DeepL to confirm deletion or access logs consistent with your obligations

For most translation use cases, it’s rare that a data subject request targets a specific translation event—but the support mechanism must still exist contractually.

9. Audit, information rights, and DPIA support

GDPR requires controllers to only use processors that provide sufficient guarantees. The DeepL DPA usually gives controllers:

  • Information rights:
    • Access to security and compliance documentation
    • Summaries of audits (e.g., ISO 27001, SOC 2 Type II reports) under NDA
  • Audit rights:
    • A framework for customer audits or third-party assessments, usually under reasonable notice and scope
  • Support for DPIAs:
    • Provision of documentation needed to complete data protection impact assessments

For most enterprises, this means:

  • You can complete a DPIA for DeepL Enterprise using:
    • The DPA
    • Security/compliance reports
    • Product-specific data handling descriptions

10. Incident management and breach notification

Finally, the DPA details how DeepL handles security incidents:

  • Commitment to notify you without undue delay after becoming aware of a personal data breach affecting your data
  • Details on:
    • What information will be shared (nature of incident, likely consequences, measures taken)
    • How DeepL will cooperate with you to manage regulatory notifications and communication to affected data subjects

This is critical for your internal incident response playbooks, ensuring your timelines under Art. 33 and 34 GDPR are supported by your processor.


How DeepL Enterprise features support GDPR-aligned governance

The DPA is the legal backbone; the product features are how your teams actually operate in a GDPR-compliant way day-to-day.

For DeepL Enterprise, key governance and control features include:

  • Unlimited glossaries & style rule lists (fair usage)
    • Standardize legal phrases, product names, and regulatory wording across markets
    • Reduce ad-hoc wording changes that can create compliance risk
  • Translation memory (Enterprise)
    • Reuse vetted translations consistently, instead of re-translating sensitive content from scratch
    • Keep an auditable, structured memory rather than scattered files and screenshots
  • Bring your own key (BYOK)
    • Add another control layer for encryption and key management aligned with your security model
  • Enterprise administration
    • SSO / domain capture / SCIM-style user management
    • Central control over who can access DeepL Translator, DeepL Write Pro, DeepL Voice for Meetings, and DeepL Agent
    • Better auditability and permission hygiene than unmanaged, individual free accounts

From a GDPR perspective, these features help you:

  • Limit access to personal data to appropriate users
  • Standardize outputs to match approved legal language
  • Reduce data sprawl by centralizing translation workflows in enterprise-governed tools

Practical checklist for requesting and evaluating the DeepL Enterprise DPA

If you’re preparing an internal vendor review or DPIA, here’s a concise workflow:

  1. Initiate contact

  2. Clarify your scope

    • List which products you’ll use:
      • DeepL Translator (text + documents)
      • DeepL Write Pro
      • DeepL Voice for Meetings
      • DeepL API
      • DeepL Agent
    • Identify data types: contracts, HR docs, support tickets, etc.
  3. Review GDPR coverage

    • Roles (controller/processor)
    • Purpose of processing
    • Data retention and deletion guarantees
    • Data location and transfer mechanisms
    • Security (ISO 27001, SOC 2 Type II, HIPAA, GDPR)
    • Subprocessors and change-notification process
    • Support for data subject rights and DPIAs
    • Incident response and breach notifications
  4. Align with internal controls

    • Map DeepL user access to SSO and existing IAM
    • Decide which teams may handle personal/sensitive data through DeepL
    • Define when DeepL is used vs. when you require on-premise workflows
  5. Capture the result

    • Update your RoPA, DPIA, and vendor inventory
    • Document DeepL’s explicit commitment that Pro/Enterprise content is not used to train models and is deleted after processing

Final thoughts

From a GDPR and enterprise-security lens, DeepL’s DPA is there to formalize what matters most:

  • Clear processor obligations under Art. 28
  • Explicit stance on data deletion and no training on Pro/Enterprise content
  • Documented security controls (ISO 27001, SOC 2 Type II, HIPAA, GDPR alignment)
  • Support for governed, large-scale use via Enterprise features like SSO, glossaries, rules, translation memory, and BYOK

To move forward, the next step is simply to initiate the conversation with DeepL’s team and request the DPA and compliance pack tailored to your specific use case and region.

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