Privacy has increasingly become an area of focus for corporate legal departments, as they seek to better understand what data they hold and mitigate data risks that can and will arise. One new start-up coming out of stealth today with a host of funding hopes to not only pinpoint those privacy risks in legal documents and data, but actively stop them before they occur by integrating privacy into the development process.

Relyance AI announced today that it is launching from stealth, having secured $30 million in seed and Series A capital from Unusual Ventures and Menlo Ventures. The company is looking to apply machine learning to privacy compliance, creating a tool that both identifies privacy issues down to the level of code analysis, while also connecting to a company’s engineering pipeline to help developers spot privacy issues before code is pushed live.

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