Atlassian's terms authorize the company to use data you submit to or generate within its products to train and improve its AI and machine learning features.
This analysis describes what Atlassian'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
This authorization permits Atlassian to use customer-submitted content and usage data for AI model training and product improvement purposes, which may be material for organizations with confidential data, regulated data, or sector-specific data handling obligations.
Interpretive note: The precise scope of data covered by this authorization and available opt-out mechanisms are not fully detailed in the base agreement; the Data Processing Addendum and Privacy Policy contain additional governing terms that affect interpretation.
Data submitted to Atlassian products, including content created in Jira or Confluence, may be used by Atlassian to train and improve AI and machine learning models under the scope of this authorization, subject to any limitations in the Data Processing Addendum or applicable law.
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"Atlassian may use data submitted to or generated through the products to develop, improve, and provide Atlassian products and services, including to train and improve machine learning models and AI features.— Excerpt from Atlassian's Atlassian Cloud Terms
REGULATORY LANDSCAPE: The AI data use authorization may require evaluation under the EU AI Act, which imposes obligations on providers and deployers of AI systems depending on risk classification. For EU customers, the GDPR applies to any personal data included in training datasets, and lawful basis and data minimization requirements must be satisfied. The FTC has issued guidance on AI data use practices and deceptive claims regarding data handling. GOVERNANCE EXPOSURE: High for organizations in regulated industries or with sensitive data classification requirements. The authorization as stated is broad and may encompass customer-created content, configuration data, and usage metadata. Organizations subject to attorney-client privilege, healthcare data obligations, or financial services data rules should assess the scope of this authorization against their compliance obligations. JURISDICTION FLAGS: EU and UK customers should assess whether the AI training use is compatible with the purposes for which personal data was originally collected, as required by GDPR and UK GDPR. California customers should evaluate whether this use triggers CCPA rights including the right to opt out of certain data uses. Sector-specific rules in healthcare (HIPAA) and financial services may impose additional constraints. CONTRACT AND VENDOR IMPLICATIONS: Procurement teams should request clarification on data anonymization, aggregation, or de-identification practices applied before AI training, and whether customers can opt out of AI training data use. The DPA referenced in the agreement should be reviewed to determine whether AI training constitutes processing under that instrument and what sub-processors are involved. COMPLIANCE CONSIDERATIONS: Legal and privacy teams should update data mapping records to reflect AI training as a downstream use of customer data, review whether existing customer-facing privacy notices accurately describe this use, and assess whether any sector-specific regulatory notifications or consents are required.
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This authorization permits Atlassian to use customer-submitted content and usage data for AI model training and product improvement purposes, which may be material for organizations with confidential data, regulated data, or sector-specific data handling obligations.
Data submitted to Atlassian products, including content created in Jira or Confluence, may be used by Atlassian to train and improve AI and machine learning models under the scope of this authorization, subject to any limitations in the Data Processing Addendum or applicable law.
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