TRI News & Events

Snowflake (SNOW) announced at Snowflake Summit 26 that Thomson Reuters (TRI) is building its enterprise AI and data platform on Snowflake to deliver trusted, governed intelligence at scale. Thomson Reuters selected Snowflake in 2021 for its ability to bridge enterprise-grade governance and security capabilities with scalable data infrastructure. Since then, the company has created a single, secure source of truth across more than 37,500 governed tables and 350 data sources. This foundation powers its internal My Data Space platform, where centralized teams build and share trusted data products across the organization. Today, more than 1,500 internal users, including data engineers, analysts, and business leaders, rely on Snowflake to access governed data and generate insights in their daily workflows.

Sterne, Kessler, Goldstein & Fox and Thomson Reuters announced a co-development partnership that has produced the first attorney-built AI workflow within CoCounsel Legal. The Patent Claim Eligibility Analyzer is a new AI tool designed to assist patent litigators with Section 101 patent eligibility analysis. Section 101 is often a decisive factor in patent litigation, and one of the quickest ways to win or lose a case, yet it is also one of the most difficult to navigate. Key concepts lack clear definitions, courts apply the same test differently across similar inventions, and the analysis is precedent heavy. It is an area of law that is time-consuming and costly. The new Patent Claim Eligibility Analyzer aligns with how courts approach Section 101. The tool quickly analyzes patent claims, surfaces highly relevant precedents, and explains why those cases matter. It provides a faster, more consistent, precedent-backed starting point to support attorney judgment.