Snowflake supported Thomson Reuters' enterprise AI implementation in the legal, tax, and regulatory sectors, expanding data governance-based AI use cases within the regulated industry. Through Snowflake, Thomson Reuters integrated over 37,500 data tables and 350 data sources into a single environment, enabling more than 1,500 employees to utilize trusted data.

Snowflake announced on the 10th that Thomson Reuters, which provides content and technology services to professionals in the legal, tax, and regulatory fields, has established a governance-centric enterprise AI and data environment based on its platform. Both companies are expanding systems to transform complex specialized data into AI-based insights and utilize them for internal operations and product development.

Thomson Reuters has been overhauling its enterprise data infrastructure by adopting Snowflake since 2021. Currently, data products are being developed and shared across the organization through the internal platform 'My Data Space,' and data engineers, analysts, and business leaders are working in the same data environment.

Results are also emerging. As the data pipelines supporting the legal AI service CoCounsel and the legal information service Westlaw were integrated, the processing speed of some core workloads increased by up to 3.4 times. Complex analysis tasks that previously took weeks have been reduced to seconds, and manual data preparation processes have also been reduced.

Snowflake Cortex AI and the coding agent CoCo were utilized as core technologies for this implementation. CoCo supports the migration of legacy systems to the Snowflake environment, while Cortex AI assists in the development of AI applications and the extraction of insights within a governed data environment.

This case demonstrates that the core of AI adoption in the legal, tax, and regulatory industries is shifting from the simple application of models to data management systems. Given the high demands for accuracy, accountability, and security in these fields, data sources, access rights, and quality management are critical during the utilization of AI.

Through this Thomson Reuters case, Snowflake emphasized that AI and data governance can be scaled on a single platform even in highly regulated industries. The industry believes that data reliability and control frameworks will be the criteria determining actual usability as enterprise AI spreads.