Thomson Reuters has implemented Snowflake (NYSE: SNOW) as its enterprise data foundation to support AI and analytics operations across the organization, according to a company statement from Snowflake Summit 26.

The content and technology company now uses Snowflake to manage more than 37,500 governed tables and 350 data sources through its internal My Data Space platform. More than 1,500 Thomson Reuters employees, including data engineers, analysts, and business leaders, access the platform daily for business decisions and AI-driven insights.

Thomson Reuters selected Snowflake in 2021 and has since consolidated data pipelines supporting products including CoCounsel and Westlaw. Key workloads now run up to 3.4 times faster, with some analysis that previously required weeks now completed in seconds.

The company uses Snowflake Cortex AI to process regulatory data and accelerate application development. Thomson Reuters also employs Snowflake CoCo, the platform's coding agent, to modernize legacy systems and transform them into Snowflake infrastructure.

"With Snowflake Cortex, we're accelerating how we build and scale AI across Thomson Reuters," said Caitlin Halferty, Head of Data & Analytics at Thomson Reuters. "The real value is not just speed. It is the ability to innovate in a governed environment where our teams can turn complex regulatory data into actionable insights while maintaining the trust, control, and reliability required for high-stakes professional use."

The implementation has eliminated manual data preparation across key workflows, allowing teams to focus on decision-making rather than data processing tasks. Thomson Reuters operates in legal, tax, and regulatory intelligence sectors where data accuracy and compliance are required.