This post is co-written by Ramdev Wudali and Kiran Mantripragada from Thomson Reuters.
In 1992, Thomson Reuters (TR) released its first AI legal research service, WIN (Westlaw Is Natural), an innovation at the time, as most search engines only supported Boolean terms and connectors. Since then, TR has achieved many more milestones as its AI products and services are continuously growing in number and variety, supporting legal, tax, accounting, compliance, and news service professionals worldwide, with billions of machine learning (ML) insights generated every year.
With this tremendous increase of AI services, the next milestone for TR was to streamline innovation, and facilitate collaboration. Standardize building and reuse of AI solutions across business functions and AI practitioners’ personas, while ensuring adherence to enterprise best practices:

Automate and standardize the repetitive undifferentiated engineering effort
Ensure the required isolation and control of sensitive data according to common governance standards

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