Tabnine · Tabnine Terms of Use

AI Output Ownership and License Grant

High severity
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What it is

You own the code Tabnine generates for you, but by using the service you automatically give Tabnine a permanent, worldwide, free license to use your code inputs and the AI's outputs to improve their product.

Consumer impact (what this means for users)

Every code snippet you type into Tabnine and every AI-generated suggestion you receive can be used by Tabnine to improve its AI, meaning confidential or proprietary code may feed into a shared commercial AI model without additional restriction.

What you can do

⚠️ These actions may provide transparency or partial mitigation but may not fully address the underlying issue. Effectiveness varies by jurisdiction and individual circumstances.
  • Delete Your Data
    Contact privacy@tabnine.com to request deletion of personal data associated with your code inputs and to inquire whether your data has been used in AI model training, citing your rights under GDPR Art. 17 or CCPA §1798.105.

Cross-platform context

See how other platforms handle AI Output Ownership and License Grant and similar clauses.

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Why it matters (compliance & risk perspective)

Code you submit to Tabnine — including proprietary business logic or sensitive algorithms — may be used to train or improve Tabnine's AI models, which could raise IP confidentiality and trade secret concerns for enterprise users.

View original clause language
As between you and Tabnine, you own the output generated by the Services in response to your inputs ("Output"), subject to your compliance with these Terms. You grant Tabnine a non-exclusive, worldwide, royalty-free license to use, reproduce, modify, and distribute the inputs you provide to the Services and the Outputs for the purposes of operating, improving, and developing the Services.

Institutional analysis (Compliance & legal intelligence)

REGULATORY FRAMEWORK: This provision implicates EU GDPR Art. 6 (lawful basis) and Art. 22 (automated decision-making) if personal data is embedded in code inputs. It also engages trade secret law under the EU Trade Secrets Directive (2016/943) and the US Defend Trade Secrets Act (DTSA, 18 U.S.C. § 1836) if proprietary code is transmitted. For US government contractors, DFARS and FAR clauses may restrict submission of government-sensitive code to commercial AI systems. The EU AI Act's transparency obligations for general-purpose AI systems may require Tabnine to disclose training data provenance.

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Applicable agencies

  • FTC
    The broad license to use user code inputs for AI model improvement without granular consent may constitute an unfair or deceptive practice under FTC Act Section 5, particularly if users are not clearly informed at point of submission.
    File a complaint →

Provision details

Document information
Document
Tabnine Terms of Use
Entity
Tabnine
Document last updated
April 29, 2026
Tracking information
First tracked
April 30, 2026
Last verified
April 30, 2026
Record ID
CA-P-004139
Document ID
CA-D-00489
Evidence Provenance
Source URL
Wayback Machine
SHA-256
d53aea8409597898f8a7268061a9cdae6b8d4af083eecee2b2fc3108a92e87a9
Verified
✓ Snapshot stored   ✓ Change verified
How to Cite
ConductAtlas Policy Archive
Entity: Tabnine | Document: Tabnine Terms of Use | Record: CA-P-004139
Captured: 2026-04-30 06:29:45 UTC | SHA-256: d53aea8409597898…
URL: https://conductatlas.com/platform/tabnine/tabnine-terms-of-use/ai-output-ownership-and-license-grant/
Accessed: May 2, 2026
Classification
Severity
High
Categories

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