Thomson Reuters Integrates DeepJudge into CoCounsel Legal Platform

Oct 24, 2025
Thomson Reuters has partnered with DeepJudge to integrate the AI startup’s knowledge platform into its CoCounsel Legal suite, allowing law firms to combine internal know-how with Thomson Reuters’ proprietary content in a unified environment.

Thomson Reuters and DeepJudge have formed a legal data partnership to integrate DeepJudge’s AI knowledge platform into CoCounsel Legal, according to Artificial Lawyer. The integration will enable legal teams to search their firm’s internal knowledge alongside Thomson Reuters’ proprietary content such as Westlaw and Practical Law within a single environment.

The collaboration provides users with a unified workspace where firm-specific documents, precedents, and internal know-how can be accessed together with authoritative legal sources. DeepJudge’s technology indexes internal systems including iManage, NetDocs, SharePoint, and HighQ, allowing CoCounsel Legal to deliver a comprehensive view of both internal and external knowledge while maintaining existing access permissions.

Initially, the integration will be available through CoCounsel Drafting, supporting lawyers as they prepare documents by surfacing relevant internal materials and verified content from Thomson Reuters. Customers will be able to subscribe to both solutions through a single contract managed by Thomson Reuters.

Both companies stated that the partnership is strategic and not a precursor to an acquisition. DeepJudge joins Thomson Reuters’ broader AI ecosystem, which includes collaborations with OpenAI, Anthropic, Google, and Microsoft.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Legal AI Weekly, Enterprise AI Brief or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Legal AI Weekly

The source for the Legal AI software news, analysis, emerging applications: contract review, e-discovery, research.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.