TRI Share Price Performance

CA$134.93

-104.56 (-43.66%)

CA$174.42

Fair Value

CA$134.93

-104.56 (-43.66%)

22.6% undervalued

CA$174.42

Fair Value

CA$134.93

CA$174.42

CA$201.97

CA$153.96

Tue, 8 Sep 26

Fair ValueCA$174.42

Share Pricen/a

TRI Community Narratives

AnalystConsensusTarget's

Fair Value

Fair Value CA$174.42 22.6% undervalued

Agentic AI Will Transform Legal And Accounting Workflows

yiannisz's

Fair Value

Fair Value CA$201.97 33.2% undervalued

Thomson Reuters Stock: When Legal Intelligence Becomes Mission-Critical Infrastructure

AnalystLowTarget's

Fair Value

Fair Value CA$153.96 12.4% undervalued

AI Competition And Execution Risks Will Challenge Operations Yet Ultimately Support Long-Term Upside

About TRI

Founded: 1799
Employees: 27100
CEO: Stephen Hasker
WebsiteView website: www.thomsonreuters.com

Thomson Reuters Corporation operates as a content and technology company in the Americas, Europe, the Middle East, Africa, and the Asia Pacific. It operates through five segments: Legal Professionals, Corporates, Tax, Audit & Accounting Professionals, Reuters News, and Global Print. The Legal Professionals segment offers research and workflow products focusing on legal research and integrated legal workflow solutions that combine content, tools, and analytics to law firms and governments. The Corporates segment provides a suite of content-driven technologies, including generative AI and integrated compliance workflow solutions to small businesses and multinational organizations. Tax, Audit & Accounting Professionals segment offers research and workflow products to tax, audit, and accounting firms. The Reuters News segment provides business, financial, and international news to media organizations, professional, and news consumers through Reuters News Agency, Reuters.com, Reuters Events, Thomson Reuters products, and to financial firms. The Global Print segment offers legal and tax information primarily in print format. The company was formerly known as The Thomson Corporation and changed its name to Thomson Reuters Corporation in April 2008. The company was founded in 1799 and is headquartered in Toronto, Canada. Thomson Reuters Corporation is a subsidiary of The Woodbridge Company Limited.

Recent TRI News & Updates

Announcement • Aug 25

Thomson Reuters Launches Proprietary Large Language Model Thomson

Thomson Reuters announced the launch of Thomson, the company's first proprietary large language model, developed in-house. Thomson, the company's proprietary LLM, was trained and is run at a fraction of the cost of comparable frontier models and remains fully owned and controlled by Thomson Reuters. Frontier labs have typically spent billions of dollars on compute and years of infrastructure investment to reach the frontier. Thomson Reuters took a different path: starting from a strong open-source foundation and investing $40 million to train Thomson into the right intelligence for the jobs that matter most, covering talent and compute. The result is a model Thomson Reuters fully controls, without the heavy inference costs of typical frontier models. Thomson was built on decades of proprietary content, technology, and domain expertise. Training on that foundation is what made Thomson possible: a model built to Fiduciary-Grade standards, at a fraction of the typical cost. Thomson starts from a strong open-source foundation. What makes it different is what happens next: mid-training and post-training techniques, drawing on decades of authoritative content from Westlaw, Practical Law, Checkpoint, and Reuters, with hundreds of subject matter experts integrated from the design of training objectives through to the final evaluations. Early evaluations put Thomson on par with the latest frontier models across a range of tasks. The model has been trained on less than 10% of Thomson Reuters content so far, and what comes next is not simply feeding it more data. It is continued discovery of new kinds of specialization and understanding, made possible only by building on decades of proprietary content and editorial expertise. Thomson shows a meaningful uplift from its base model in instruction following, the ability to execute complex, multi-part professional instructions precisely. It demonstrates an even greater uplift in navigating dense, domain-specific content, the kind of nuanced reasoning the hardest professional tasks require. It is also able to be trained alongside Thomson Reuters proprietary tools like Westlaw and Practical Law, which makes it more sophisticated and nuanced in its work. Proprietary training and human subject matter expertise, applied to a strong foundation, produces gains that content access alone does not. Evaluations of Thomson's underlying foundation model are available in the technical report about the model's development. Thomson Reuters began opening the model to a group of legal and AI academics for direct evaluation. Thomson Reuters is also making a "small" version of Thomson available as an open-weight model on Hugging Face for academic and non-commercial use to further aid in this validation. Thomson Reuters is developing domain-specific AI for customers with the highest expectations of trust and accuracy. Thomson's first deployment is inside Tabular Analysis in CoCounsel Legal, exactly the kind of high-volume, structured document review where a purpose-built model's advantage shows up immediately. CoCounsel Legal remains multi-model by design, applying Thomson where it delivers the clearest advantage and other leading models elsewhere. Thomson will be available in Tabular Analysis for law firms and corporate legal departments in the upcoming release. There are also plans to extend Thomson models across the legal and tax portfolio with more sovereign AI options to follow. The launch of Thomson marks a new chapter for Thomson Reuters. The company has always owned the content, the expertise, and the tools professionals rely on every day. Now it owns the model too.

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Agentic AI Will Transform Legal And Accounting Workflows

Thomson Reuters Stock: When Legal Intelligence Becomes Mission-Critical Infrastructure

AI Competition And Execution Risks Will Challenge Operations Yet Ultimately Support Long-Term Upside

Thomson Reuters Stock: When Legal Intelligence Becomes Mission-Critical Infrastructure

Agentic AI Will Transform Legal And Accounting Workflows

AI Competition And Execution Risks Will Challenge Operations Yet Ultimately Support Long-Term Upside

AI And Automation Catalysts Will Reshape Long Term Earnings Power

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Thomson Reuters Stock: When Legal Intelligence Becomes Mission-Critical Infrastructure

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About TRI

Recent TRI News & Updates

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TRI: Proprietary Legal AI Platform Will Drive Future Upside Potential

Thomson Reuters Launches Proprietary Large Language Model Thomson

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