$TRI

THOMSON REUTERS CORP /CAN/

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Thomson Reuters develops AI model in push for AI sovereignty

Thomson Reuters launched Thomson, an AI model for legal and tax tasks, starting with document review in CoCounsel Legal. The model, costing $40M to develop, uses proprietary content and specialized training. It aims to enhance AI sovereignty, reducing reliance on third-party models. Thomson Reuters plans to expand its use and develop an API for direct access.

Analysts Offer Insights on Industrial Goods Companies: Thomson Reuters (TRI), Nano Nuclear Energy Inc. (NNE) and MasTec (MTZ)

Analysts updated ratings for industrial goods companies. BMO's Tim Casey maintained a Buy rating on Thomson Reuters (TRI) with a C$165 target. Nano Nuclear Energy (NNE) was rated Hold by Truist's Christopher Souther. Guggenheim's Joseph Osha reiterated a Buy on MasTec (MTZ) with a $518 target. Consensus ratings and price targets were also provided for each company.

Why is Thomson Reuters stock sliding today?

Thomson Reuters (TRI) shares fell 3.2% to $145.42 after Google launched Gemini Enterprise for Legal, raising concerns about competition in legal AI. TRI's own AI model launch was overshadowed. Broader market gains did not offset the decline. Analysts note TRI's data assets are a competitive advantage, but investors question its defensibility against tech giants.

TRI sentiment & insider activity

Over the past 7 days, alphai's AI scored 6 news stories mentioning TRI (THOMSON REUTERS CORP /CAN/). Coverage has skewed bullish: 3 bullish, 2 neutral, and 1 bearish.

Recent TRI coverage spans technology, market movers and financial news.

What's driving TRI

alphai scores every news story that mentions TRI with an AI model for sentiment and relevance, and aggregates insider trades from THOMSON REUTERS CORP /CAN/'s SEC EDGAR Form 4 filings. Figures refresh continuously.

News on $TRI

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Thomson Reuters develops AI model in push for AI sovereignty

Thomson Reuters launched Thomson, an AI model for legal and tax tasks, starting with document review in CoCounsel Legal. The model, costing $40M to develop, uses proprietary content and specialized training. It aims to enhance AI sovereignty, reducing reliance on third-party models. Thomson Reuters plans to expand its use and develop an API for direct access.

Analysts Offer Insights on Industrial Goods Companies: Thomson Reuters (TRI), Nano Nuclear Energy Inc. (NNE) and MasTec (MTZ)

Analysts updated ratings for industrial goods companies. BMO's Tim Casey maintained a Buy rating on Thomson Reuters (TRI) with a C$165 target. Nano Nuclear Energy (NNE) was rated Hold by Truist's Christopher Souther. Guggenheim's Joseph Osha reiterated a Buy on MasTec (MTZ) with a $518 target. Consensus ratings and price targets were also provided for each company.

$TRIMed

Why is Thomson Reuters stock sliding today?

Thomson Reuters (TRI) shares fell 3.2% to $145.42 after Google launched Gemini Enterprise for Legal, raising concerns about competition in legal AI. TRI's own AI model launch was overshadowed. Broader market gains did not offset the decline. Analysts note TRI's data assets are a competitive advantage, but investors question its defensibility against tech giants.

Thomson Reuters Leverages its World-Class Data Assets to Launch Its Own Frontier Model

Thomson Reuters (TRI) launched Thomson, its proprietary large language model, trained on its proprietary content and expertise. The model was developed for $40 million, a fraction of typical frontier models' costs, and is fully controlled by the company. Thomson is initially deployed in CoCounsel Legal and will expand across legal and tax portfolios. The company aims to leverage its decades of content and expertise to build AI with high trust and accuracy standards.

$TRILow

Thomson Reuters Builds Custom AI Model on Qwen · Digg

Thomson Reuters developed a proprietary AI model for legal work, fine-tuning Alibaba's open-source Qwen. The company aims to reduce dependence on Anthropic's Claude, according to the CTO. The model handles document analysis, research, and workflow automation, in partnership with DatologyAI.

1 AI Model to Rely Less on Anthropic

Thomson Reuters launched its AI model, Thomson-1, based on Alibaba's open-source Qwen model. The company aims to reduce reliance on costly AI from Anthropic, focusing on document review. Thomson Reuters will still use Anthropic's Claude for its AI legal assistant, CoCounsel. The shift is driven by cost savings and leveraging in-house expertise, according to CTO Joel Hron.

Biocurious: Trivarx hones the radiation-free approach to cancer oncology

TrivarX (ASX:TRI) is developing Stable-Im, a non-radioactive imaging tool for brain cancer detection. The company acquired the technology from Nucleic, paying $250,000 and issuing performance rights. TrivarX plans to launch a phase I trial by year-end, with a budget under $1 million. CEO Dr. Danielle Meyrick emphasizes the potential of Stable-Im to complement MRI and PET imaging, offering safer and more efficient diagnostics.

Why Thomson Reuters (TRI) Stock Is Up Today

Thomson Reuters (TRI) stock rose 3.5% today, likely due to positive reaction to its Q2 2026 results, which showed 9% revenue growth and raised full-year outlook. The company also announced a $500M deal for its Global Print business and increased capital returns. Analysts have set various price targets for TRI, with a median of $138.0.

DHS surveillance spending tops $2.9B as domestic enforcement architecture expands

A Brennan Center for Justice analysis, using a contract spreadsheet reviewed by Biometric Update, says DHS recorded over $2.9B in obligations since Jan 2021 for technologies used to watch, identify, locate, and profile people in the US. It cites accelerating spending since Trump’s return, with major shares for biometrics ($1.1B), video surveillance ($793M), and analytics ($611M), including Palantir.

Terabytes of credentials leaked in massive supply-chain attack

Security firms CloudSEK and Hudson Rock reported that a supply-chain attack involving LiteLLM exposed credentials for about 434,000 CI/CD pipelines. They said compromised LiteLLM versions were downloaded from PyPI during a 40-minute March window, extracting keys and secrets from a 195TB dataset. Firms urged affected users to rotate and revoke credentials, citing related infections from Trivy.

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