Which company's case study is this?
Thomson Reuters is a global leading company providing information services for professionals in law, tax, accounting, and compliance. Building on its vast accumulated expertise and data over many years, it combines cutting-edge technologies like generative AI to develop and deliver solutions that fundamentally transform the way professionals work.
The challenge they wanted to solve
Legal professionals, such as lawyers and corporate legal staff, daily need to quickly find accurate information relevant to specific cases from a vast amount of legal documents, precedents, and regulatory information. This research work was extremely time-consuming and a major barrier to increasing productivity. Traditional keyword searches often yielded many irrelevant results, requiring significant effort to arrive at the truly necessary information.
How AI was used
Current official material presents the legal generative-AI capability as CoCounsel AI-Assisted Research. A user asks a legal question in plain language, and the service draws on trusted legal content in Westlaw Precision to produce an answer with links to authority. It requires the applicable Westlaw Precision subscription and is an assistance tool that legal professionals must review.
Introduction effects and key points to watch
- ▸It researches Westlaw Precision legal content from a natural-language question and returns an answer with citations.
- ▸Links to supporting cases and materials allow the user to verify the response.
- ▸CoCounsel does not replace a lawyer's independent judgment and requires professional oversight.
- ▸The article's claim that work taking hours or days is reduced to seconds or minutes was not supported as a general measured result by the reviewed primary sources.
What Japanese companies can learn
This case shows how specialized knowledge and proprietary data can ground AI-assisted answers. The important design choices are letting users reach and verify supporting authority and keeping professionals responsible for final judgment. In law, finance, healthcare and other accuracy-sensitive fields, source review and clear accountability matter more than generation speed.