Provision record
DeepL · DeepL Terms and Conditions · View original document ↗

Mutual Exclusion of Indirect and Consequential Loss

High confidence Common · 280 of 343 platforms

Key Facts · in the document’s own words

For what losses is neither party liable to the other under the Agreement?
“Neither Party shall be liable to the other Party under this Agreement...for any (i) loss of profits, loss of business, depletion of goodwill and/or similar losses, or loss or corruption of data or information, or pure economic loss; or (ii) special, indirect or consequential loss.”
Version CA-V-007166, captured Sept. 26, 2026 · live source ↗
Our reading, not the document’s words
Neither party is liable to the other under the Agreement for loss of profits, loss of business, depletion of goodwill, similar losses, loss or corruption of data or information, pure economic loss, or special, indirect, or consequential loss.
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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

ConductAtlas Analysis

Why it matters (compliance & governance perspective)

Generated by a model from the captured document; not read by a person

The mutual exclusion eliminates entire categories of loss that are often the most financially significant in practice, capping recoverable harm to direct losses only.

Recent Activity

This document changed recently

Medium Jul 16, 2026

The updated terms explicitly state that audio files are now included in the definition of 'Content' and that all Content is processed by DeepL's machine learning infrastructure. This formalizes what may have been implicit practice and clarifies the scope of data subject to machine learning processing. The terms also introduce a new access method through third-party AI assistant applications via DeepL's Model Context Protocol endpoint; usage through this pathway counts toward your subscription's usage limits and volumes. You can review the Service Specification for details on how third-party application access operates.

View change record →

Consumer impact (what this means for users)

Generated by a model from the captured document; not read by a person

The customer cannot recover from DeepL for lost profits, lost business, data loss, or other consequential or indirect harm, regardless of the cause of that harm.

How other platforms handle this

Credit Karma

YOU ARE SOLELY RESPONSIBLE FOR ANY DAMAGE TO YOUR PROPERTY (INCLUDING ANY COMPUTER SYSTEM OR MOBILE DEVICE USED IN CONNECTION WITH OUR SERVICES), OR THE LOSS OF DATA THAT MAY RESULT FROM THE USE OF OUR SERVICES

OpenAI

OPENAI'S AFFILIATES, SUPPLIERS, LICENSORS, AND DISTRIBUTORS ARE INTENDED THIRD PARTY BENEFICIARIES OF THIS SECTION.

Kling AI

We may be unable to fulfill certain data requests for legitimate reasons, such as protecting trade secrets, intellectual property, or complying with legal obligations.

See all platforms with this clause type →
▸ View Original Clause Language DOCUMENT RECORD
"
Neither Party shall be liable to the other Party under this Agreement...for any (i) loss of profits, loss of business, depletion of goodwill and/or similar losses, or loss or corruption of data or information, or pure economic loss; or (ii) special, indirect or consequential loss.

Excerpt from DeepL's Terms and Conditions

Provision details

Document information
Document
DeepL Terms and Conditions
Entity
DeepL
Tracking information
First captured by ConductAtlas
April 29, 2026
Text quoted from version
CA-V-007166, captured Sept. 26, 2026
Record ID
CA-P-045071
Document ID
CA-D-000449
Evidence Provenance
Source URL
Wayback Machine
Archived bytes SHA-256 (version CA-V-007166)
cdd70ce7c92b0b58c7e5e40d3143c6229ae30714a8576fe72111e4eef5afe633
Analysis generated
May 20, 2026 23:29 UTC
Methodology
Evidence
✓ Excerpt found in version CA-V-007166, captured Sept. 26, 2026 (checked Oct. 5, 2026)
Citation Record
Entity: DeepL
Document: DeepL Terms and Conditions
Record ID: CA-P-045071
Version: CA-V-007166
Captured: 2026-09-26 00:57:25 UTC
SHA-256: cdd70ce7c92b0b58…
URL: https://conductatlas.com/platform/deepl/deepl-terms-and-conditions/provision/CA-P-045071/mutual-exclusion-of-indirect-and-consequential-loss/
Accessed: Oct. 24, 2026
Permanent archival reference. Stable identifier suitable for legal filings, compliance documentation, and research citation.
Classification
Categories

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Frequently Asked Questions

What does DeepL's Mutual Exclusion of Indirect and Consequential Loss clause do?

The mutual exclusion eliminates entire categories of loss that are often the most financially significant in practice, capping recoverable harm to direct losses only.

How does this clause affect you?

The customer cannot recover from DeepL for lost profits, lost business, data loss, or other consequential or indirect harm, regardless of the cause of that harm.

How many platforms have this type of clause?

ConductAtlas has identified this type of provision across 280 platforms. See the full comparison.

Is ConductAtlas affiliated with DeepL?

No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by DeepL.