Does Anthropic Act as a Data Processor or Controller? Anthropic stated that under its Commercial Terms of Service, organizations using Claude for Work (Team or Enterprise plans) are the "Controller" of data submitted by their users, while Anthropic acts as a "Processor" on the customer's behalf. Anthropic said it does not use data shared on commercial products to train its models unless the customer opts into the Development Partner Program, and that customers can access and export user data such as conversation history. This article is about our commercial products such as Claude for Work and the Anthropic API. For our consumer products such as Claude Free, Pro, Max and when accounts from those plans use Claude Code, see here https://privacy.claude.com/en/collections/10663362-consumers . When a commercial customer creates a Claude for Work account Team or Enterprise plan , under our Commercial Terms of Service https://www.anthropic.com/legal/commercial-terms the customer is the "Controller" of the data submitted by its Users. This means: - The customer has control over who can be a member of their team and provides us with instructions for how submitted data can be used. - The customer may access and export data such as conversation history submitted by its Users. - Anthropic acts as a "Processor" of the data on behalf of the customer. Anthropic only processes the data as instructed by the customer in order to provide the Claude service. - Anthropic does not use the data you share when using our commercial products to train our models, unless you choose to participate in our Development Partner Program https://support.claude.com/en/articles/11174108-about-the-development-partner-program . In summary, for Claude for Work, the customer organization maintains control over their Users' data, and Anthropic only processes that data to provide the service on the customer's behalf, according to our agreement. You should consult with your organization's administrators regarding Claude usage policies. Resources For more details on our data practices, please see the: