When you use Slack, your organization gives Slack the legal right to access, copy, and use your messages, files, and other content to run and improve the service.
This analysis describes what Slack'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 license establishes the scope of Slack's authorized data processing activities and defines the permissible uses of customer data within service operations. The provision conditions Slack's modification rights on necessity for service delivery, maintenance, and improvement, and ties these uses to the Agreement and Privacy Policy.
Interpretive note: The scope of 'improve the applicable Service' is not exhaustively defined in the document, creating ambiguity about whether AI or machine learning training uses are covered.
Messages, files, and other content sent through Slack are subject to a broad operational license granted to Slack; the extent to which 'improve the Service' encompasses AI or machine learning applications is a material ambiguity that organizations with sensitive data should clarify through their DPA.
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"Customer grants Slack a worldwide, non-exclusive, limited term license to access, use, process, copy, distribute, perform, export, and display Customer Data, and solely to the extent that reformatting Customer Data for display in a Service constitutes a modification or derivative work, to modify and create derivative works of Customer Data, but only as reasonably necessary to provide, maintain and improve the applicable Service as permitted by this Agreement and the Privacy Policy.— Excerpt from Slack's Slack Terms of Service
REGULATORY LANDSCAPE: This provision engages GDPR Article 5 (purpose limitation and data minimization) and Article 6 (lawful basis for processing) for EU/EEA deployments, as processed purposes must align with disclosed and consented purposes. The FTC Act's prohibition on unfair or deceptive practices applies if the scope of use exceeds what users reasonably expect. CCPA service provider restrictions also constrain permissible uses of California resident data. GOVERNANCE EXPOSURE: Medium. The license language is operationally broad. The phrase 'improve the applicable Service' is not exhaustively defined in the agreement text and may require evaluation against the DPA and Privacy Policy for full scope. Organizations in regulated industries should assess whether this license scope is compatible with their sector-specific data handling obligations. JURISDICTION FLAGS: EU/EEA customers face the highest exposure due to GDPR's strict purpose limitation requirements. California customers should assess CCPA service provider agreement language. Healthcare organizations must evaluate whether PHI could be transmitted and whether BAA protections adequately limit this license. CONTRACT AND VENDOR IMPLICATIONS: Procurement teams should confirm that the executed DPA restricts Slack's use of customer data to clearly defined service delivery purposes and does not permit use for Slack's independent commercial benefit. This is a standard vendor assessment trigger for enterprise SaaS procurement. COMPLIANCE CONSIDERATIONS: Legal teams should map what categories of data flow through Slack workspaces and assess whether those categories require heightened contractual restrictions beyond the MSA baseline. Review of the DPA's permitted processing purposes against this license grant is a priority compliance step.
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This license establishes the scope of Slack's authorized data processing activities and defines the permissible uses of customer data within service operations. The provision conditions Slack's modification rights on necessity for service delivery, maintenance, and improvement, and ties these uses to the Agreement and Privacy Policy.
Messages, files, and other content sent through Slack are subject to a broad operational license granted to Slack; the extent to which 'improve the Service' encompasses AI or machine learning applications is a material ambiguity that organizations with sensitive data should clarify through their DPA.
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