DeepL · DeepL Terms and Conditions · View original document ↗

Mutual Exclusion of Indirect and Consequential Loss

High severity High confidence Explicitdocumentlanguage Common · 288 of 352 platforms
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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)

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

Consumer impact (what this means for users)

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

Tinder Medium

TINDER ASSUMES NO RESPONSIBILITY FOR ANY CONTENT THAT YOU OR ANOTHER USER OR THIRD PARTY POSTS, SENDS, RECEIVES, AND/OR ACTS ON THROUGH OUR SERVICES, NOR DOES TINDER ASSUME ANY RESPONSIBILITY FOR THE IDENTITY, INTENTIONS...

Perplexity AI Medium

we do not warrant that Offering descriptions are accurate, complete, reliable, current, or error-free.

Skillshare Medium

Please note that these third parties are responsible for their own privacy practices.

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▸ 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 DeepL Terms and Conditions

Applicable regulations

FTC Act Section 5
United States Federal

Provision details

Document information
Document
DeepL Terms and Conditions
Entity
DeepL
Document last updated
May 5, 2026
Tracking information
First tracked
May 20, 2026
Last verified
May 20, 2026
Record ID
CA-P-045071
Document ID
CA-D-00449
Evidence Provenance
Source URL
Wayback Machine
Content hash (SHA-256)
d1609857ce95917e69ae41f91e9eb648d2a71d4094bc790166b60a2ddd87b296
Analysis generated
May 20, 2026 23:29 UTC
Methodology
Evidence
✓ Snapshot stored   ✓ Hash verified
Citation Record
Entity: DeepL
Document: DeepL Terms and Conditions
Record ID: CA-P-045071
Captured: 2026-05-20 23:29:36 UTC
SHA-256: d1609857ce95917e…
URL: https://conductatlas.com/platform/deepl/deepl-terms-and-conditions/provision/CA-P-045071/mutual-exclusion-of-indirect-and-consequential-loss/
Accessed: July 12, 2026
Permanent archival reference. Stable identifier suitable for legal filings, compliance documentation, and research citation.
Classification
Severity
High
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 288 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.