Connect with us

Technology

Thomson Reuters CoCounsel Tests Custom LLM from OpenAI, Broadening its Multi-Model Product Strategy

Published

on

Global pioneer in professional-grade GenAI first to employ custom model built on OpenAI o1-mini.

Custom model just the latest to be tested on the CoCounsel platform as part of company’s multi-model approach to LLM-powered solutions Thomson Reuters GenAI solutions for professionals, the only such products grounded in the world’s leading content and expertise, provide uniquely sought-after testing ground for LLM technology leaders 

TORONTO, Nov. 25, 2024 /PRNewswire/ — Thomson Reuters (TSX/NYSE: TRI), a content-driven technology company, today announced they are testing a version of their CoCounsel GenAI assistant that employs a custom model built on OpenAI o1-mini, the AI pioneer’s latest large language model (LLM), notable for its enhanced reasoning skills. Because OpenAI o1-mini “thinks” before it responds—”chain of thought” reasoning—it enables CoCounsel to accurately perform certain highly analytical and data-driven tasks for the first time. While this means answers take longer, it also means they’re more detailed, thorough, and accurate.  

Building on Thomson Reuters’ proprietary datasets, the CoCounsel and OpenAI teams have collaborated to create this custom model, now in a proof-of-concept phase ahead of the new LLM’s general availability. The original CoCounsel, launched in March 2023, was the first legal tech tool to publicly announce the use of OpenAI’s GPT-4, and similarly was built in collaboration and early access with OpenAI, on its groundbreaking model. As CoCounsel has evolved and expanded, particularly since becoming the single GenAI assistant across Thomson Reuters products, so has the product team’s strategy for employing LLMs to deliver the best possible performance for CoCounsel customers. Their current multi-model approach has set the standard for testing in-development models in partnership with LLM leaders.  

This is just the latest work between the two technology companies, as  CoCounsel was founded on a deep relationship with OpenAI, being the first legal tech tool to publicly announce the use of the GPT-4 large language model (LLM).  

“We’re proud of our longstanding work with Thomson Reuters and learning how they use o1-mini to power new legal workflows,” said Kevin Weil, Chief Product Officer at OpenAI. “Building a custom o1-mini model into CoCounsel equips legal professionals with advanced AI reasoning capabilities, supporting them in addressing challenging legal problems.” 

Pioneering application of GenAI to professional-grade solutions 

As the first and leading solution of its kind—a professional-grade GenAI assistant—CoCounsel uniquely offers LLM creators a robust installed and daily active customer base, who are ready and willing to test the model evolutions. Many of these customers are early innovators in the GenAI revolution and have been users for more than 18 months. This has in part led to the 1,400% increase in CoCounsel users in less than a year. These users’ multi-step use cases, such as legal workflows, offer particularly valuable testing ground to LLM development teams Additionally, CoCounsel offers LLM teams the opportunity to evaluate new models’ performance across several products—including CoCounsel Core, Westlaw Precision, Practical Law Dynamic Tool Set, and CoCounsel Drafting—that tackle a wide range of sophisticated tasks.  

Thomson Reuters’ LLM evaluation program includes in-product testing of new models from several AI providers, alongside current models. The goal is not just to determine which perform “better,” but rather which—and in which combination—produce output that best meets customers’ needs, for specific, real-life use cases. This process involves pushing the boundaries of what the models can do, giving valuable performance data to their creators—which Thomson Reuters is uniquely equipped to provide—and ultimately creating better technology and better results for customers who use the solutions built on it.  

“Our close cooperation with the technology leaders charting the course for AI allows us to deliver profoundly better CoCounsel outcomes for our customers, empowering them to better serve their clients,” said Joel Hron, chief technology officer for Thomson Reuters. “Through early access to models from OpenAI, Anthropic, and Google, we’ve been able to evaluate each alone and in combination, right in product. And our learnings do more than help us continue pioneering professional-grade applications of GenAI, they help the teams behind these astonishing LLMs improve what the models can do. This benefits the products they power, creating a virtuous cycle of innovation to collectively push the boundaries of how AI can be used to transform professional work.”  

Finding the right technology for each CoCounsel capability 

For Thomson Reuters products for tax professionals, beginning with Checkpoint, the CoCounsel team has been evaluating Anthropic’s Claude 3.5 Haiku and Claude 3.5 Sonnet. The team is also looking at how prompt caching in Claude could be effective for CoCounsel Drafting.  

The integration of Google Gemini 1.5 Pro into the CoCounsel platform has been key to delivering the upgrades in CoCounsel 2.0. The models in this family offer a substantially longer “context window,” enabling CoCounsel to increase processing throughput, better analyze complex patterns in legal documents, and retain the “memory” of legal matters across a series of tasks. 

In addition to collaborating with OpenAI, Anthropic, and Google, Thomson Reuters has begun training their own models, evidenced by their recent acquisition of UK-based startup Safe Sign Technologies, specializing in legal-specific LLMs. This future CoCounsel input will mark yet another opportunity for the team to evolve their multi-model strategy to better serve CoCounsel users. Key to delivering on this opportunity has been access to sufficient computational resources to train and run AI systems. Thomson Reuters has enabled this through close partnership with Amazon Web Services (AWS), becoming one of the early customers for AWS Sagemaker HyperPod. 

Thomson Reuters has also been working closely with Microsoft to bring another significant CoCounsel 2.0 upgrade to its customers: integration with M365. Just as important as ensuring CoCounsel can return the best possible output is empowering customers to streamline the complex work they do. By offering integration with the tools professionals use every day—Microsoft Outlook, Word, Teams, and SharePoint—the CoCounsel team continues its mission of creating a GenAI experience that doesn’t just help professionals work faster, smarter, and better, but actually helps them transform what they spend their time on, what it’s possible to accomplish, and ultimately what it means to work. 

Thomson Reuters 

Thomson Reuters (TSX/NYSE: TRI) (“TR”) informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. The company serves professionals across legal, tax, accounting, compliance, government, and media. Its products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world-leading provider of trusted journalism and news. For more information, visit tr.com.  

Contact 
Ali Hughes +1.763.326.4421 ali.hughes@thomsonreuters.com   

View original content to download multimedia:https://www.prnewswire.com/news-releases/thomson-reuters-cocounsel-tests-custom-llm-from-openai-broadening-its-multi-model-product-strategy-302314877.html

SOURCE Thomson Reuters

Continue Reading
Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

Technology

BinBase Launches 2026 BIN Database Featuring 6-11 Digit Waterfall Lookup for High-Precision Payment Routing

Published

on

By

BinBase introduces its upgraded 2026 BIN Database, offering 3.2M+ card ranges, 29 granular data attributes, and extended 8-11 digit accuracy to eliminate false-positives and optimize routing for global fintechs.

MIAMI, July 21, 2026 /PRNewswire-PRWeb/ — BinBase, a provider of payment intelligence and card issuing data, has announced the official release of its updated 2026 BIN Database. Engineered for payment gateways, acquiring banks, fraud prevention platforms, and e-commerce platforms, the updated dataset solves critical routing inaccuracies caused by the industry-wide shift from legacy 6-digit BINs to extended 8-to-11-digit card ranges.

Relying solely on 6-digit BINs in 2026 means misclassifying card products and losing money on interchange fees. Our 2026 release provides the surgical precision developers need for cost-effective payment routing.

Since ISO/IEC 7812 expanded the standard Bank Identification Number (BIN) length to 8 digits, traditional 6-digit lookup tables have struggled to correctly identify modern card profiles. This leads to false positives, misidentified interchange fees, and failed transactions. BinBase addresses this challenge by introducing a multi-tiered database structure supporting up to 11-digit precision, alongside a recommended “Waterfall Lookup Algorithm.”

To ensure 100% routing and verification accuracy, the Waterfall method executes a descending search sequence: checking 11-digit BIN ranges down through 10, 9, 8, 7, and 6 digits until an exact match is resolved.

Key technical specifications of the 2026 BinBase release include:

Over 3.2 Million Card Ranges: Full global coverage including Visa, Mastercard, Amex, Discover, UnionPay, JCB, and regional networks.Extended Precision: Over 88% of the dataset consists of high-precision ranges (8–11 digits) to accurately isolate sub-brands, currencies, and card tiers.29 Granular Attributes: Beyond core issuer data, the database features advanced parameters including Durbin Regulation status, US Debit/ATM network routing (STAR, NYCE), Fast Funds (Visa Direct / Mastercard MoneySend indicators), commercial Level 2/Level 3 data, and digital wallet token ranges (Apple Pay / Google Pay).

“Modern payment processing requires surgical precision,” said a spokesperson for Damiko Inc. “Relying solely on 6-digit BINs in 2026 means misclassifying card products and losing money on interchange fees. Our 2026 release provides the underlying intelligence developers need to build resilient, cost-effective payment infrastructure.”

Developers and payment teams can evaluate the full 29-field database schema, review integration examples, and download a free 2026 sample dataset on the official GitHub repository.

To learn more about full commercial licensing options, instant CSV downloads, and custom API delivery, visit BinBase.

About Damiko Inc

Damiko Inc is a US-based fintech data provider specializing in card issuer analytics, payment routing data, and global BIN database solutions. Operating through its flagship product, BinBase.com, the company supplies high-precision transaction intelligence to help merchants and payment facilitators worldwide optimize approval rates and mitigate fraud.

Media Contact

Fedor Lavrikoff, BinBase, 1 +17866133333, sales@binbase.com, htttps://www.binbase.com 

View original content:https://www.prweb.com/releases/binbase-launches-2026-bin-database-featuring-6-11-digit-waterfall-lookup-for-high-precision-payment-routing-302829291.html

SOURCE BinBase

Continue Reading

Technology

Redington Limited and AutomationEdge Announce Strategic Partnership to Accelerate Enterprise Automation and Agentic AI Adoption

Published

on

By

MUMBAI, India, July 22, 2026 /PRNewswire/ — Redington, a leading technology aggregator and innovation catalyst, and AutomationEdge, a leading Agentic Process Automation platform for global enterprises, have announced a strategic partnership to accelerate the adoption of enterprise automation and Agentic AI. The collaboration brings together Redington’s extensive distribution ecosystem and partner network with AutomationEdge’s enterprise-grade Agentic Process Automation platform to enable faster, scalable, and outcome-driven digital transformation for organizations.

As a part of the partnership, AutomationEdge’s portfolio of AI Agents and automation solutions is now available through the Redington AI Exchange Marketplace, enabling partners and customers to easily discover, evaluate, and deploy enterprise-ready AI solutions. This availability significantly reduces the time required to adopt AI-driven automation and provides organizations with access to proven use cases that can deliver measurable business outcomes.

The partnership is focused on delivering solution-led automation offerings that simplify adoption for enterprises and channel partners. By combining Redington’s go-to-market reach with AutomationEdge’s 10x automation capabilities, the two organizations aim to help businesses move from fragmented automation initiatives to enterprise-wide orchestration—driving efficiency, agility, and operational excellence.

Through this collaboration, both companies will jointly promote pre-built automation and AI Agent solutions across key business functions, including banking operations, insurance processes, IT / HR operations, customer service, and finance functions. These solutions include ready-to-deploy workflows, AI Agents, demonstration environments, and implementation frameworks designed to accelerate deployment and reduce complexity.

The partnership will also include joint go-to-market initiatives such as partner enablement programs, co-branded workshops, solution showcases, and proof-of-concept (PoC) engagements. These initiatives are designed to equip Redington partners with the knowledge, tools, and support needed to successfully position, sell, and implement AI-powered automation solutions for enterprise and mid-market customers.

Sayantan Dev, Global Head, Software Solutions Group, Redington, said, “The next phase of AI adoption will be defined by execution. Through the Redington AI Exchange Marketplace, we are bringing together the technologies and ecosystem needed to help partners deliver real business outcomes at scale. AutomationEdge’s Agentic AI and automation capabilities strengthen our ability to enable customers to accelerate AI adoption with greater speed, governance, and confidence.”

Prasad Likhite, Chief Sales Officer of AutomationEdge, said, “We are delighted to strengthen our partnership with Redington and accelerate the adoption of next-generation enterprise automation and Agentic AI solutions across the market. The availability of AutomationEdge AI Agents through the Redington AI Exchange Marketplace marks an important milestone in democratizing AI-led transformation, enabling enterprises to rapidly scale intelligent automation initiatives with speed, agility, and measurable business impact. At the same time, it creates significant opportunities for partners to drive innovation, unlock new revenue streams, and deliver greater value to their customers.”

The collaboration also emphasizes localized support, implementation expertise, and customer success services, ensuring that organizations can seamlessly deploy, manage, and scale automation initiatives. By leveraging Redington’s strong partner ecosystem and AutomationEdge’s deep expertise in automation and Agentic AI, the partnership is well-positioned to address the evolving needs of modern enterprises.

As organizations increasingly prioritize productivity, operational efficiency, and AI-led transformation, this partnership marks a significant step toward making enterprise automation and Agentic AI more accessible, scalable, and impactful across industries.

 About Redington

Redington Limited (NSE: REDINGTON) (BSE: 532805), a leading technology solutions provider, empowers businesses in their digital transformation journeys. Guided by its brand narrative “Unlock Next”, Redington goes beyond distribution to remove barriers, accelerate digital adoption, and unlock access, growth, trust, efficiency, and impact—helping businesses, communities, and societies embrace what’s next in technology

About AutomationEdge

AutomationEdge is a leading Agentic Process Automation platform for global enterprises. Its platform enables organizations to automate complex business processes, deploy AI Agents at scale, improve operational efficiency, and accelerate digital transformation initiatives across industries.

Media Contact:
Rahul Wandile
rahul.wandile@automationedge.com

 

View original content to download multimedia:https://www.prnewswire.com/in/news-releases/redington-limited-and-automationedge-announce-strategic-partnership-to-accelerate-enterprise-automation-and-agentic-ai-adoption-302831361.html

Continue Reading

Technology

Applied Intuition Launches Dana, the Agentic Platform for Physical AI

Published

on

By

New platform pairs agentic AI with the tooling, data, infrastructure and domain expertise Applied Intuition has built over nearly a decade to speed the safe development of intelligent machines for the physical world.

Dana is the first agentic platform for building, testing, deploying and operating physical AI systems across industries.Built on nearly a decade of Applied Intuition’s tooling, infrastructure, workflows and engineering expertise, Dana is purpose-built for safety-critical systems operating in the physical world.Dana helps companies build physical AI applications for any industry or use case, from autonomy and software-defined vehicles to fleet operations, robotics, construction, mining and intelligent in-vehicle experiences.Dana has already reduced critical phases of vehicle development from months to days in internal and select customer deployments.

SUNNYVALE, Calif., July 22, 2026 /PRNewswire/ — Applied Intuition, Inc., a leader in physical AI, today announced the launch of Dana, the first agentic platform for building, testing, deploying and operating physical AI systems across industries. Dana combines the power of agentic AI and rapid application development with nearly a decade of Applied Intuition’s tooling, infrastructure and engineering knowledge. The result is a unified system that accelerates the development of intelligent machines in the physical world.

“We believe physical AI will become one of the defining technologies of this century,” said Qasar Younis, co-founder and CEO of Applied Intuition. “Our ambition is to help bring intelligence to a billion machines, and Dana is the platform we built to make that possible.”

Unlike general-purpose AI tools designed primarily for digital workflows, Dana is built for the complexities of machines operating in the physical world. Dana comes with all the platform capabilities needed to build and deploy safety-critical physical AI applications, including data, visualization and tooling, as well as the evaluation, traceability and governance these systems require. The platform was designed to work across industries and with a wide range of use cases, from software-defined vehicle development and advanced driver assistance systems (ADAS) to mining and construction operations, truck fleet management, robotics and intelligent in-vehicle experiences. With Dana, customers can:

Deploy Applied Intuition’s reference applications — spanning autonomy, fleet operations, and more — or build their own.Use both natural language and command-line interfaces to complete complex development tasks more intuitively and accelerate iteration cycles across teams and systems.Integrate the platform with enterprise systems and collaboration tools, like Slack and Jira, helping organizations connect fragmented engineering and operational workflows while embedding agentic capabilities across the development process.

Applied Intuition has used Dana internally since last year, building and delivering solutions on the platform for long-standing customers across automotive, trucking, mining, and agriculture. Dana’s agent-driven workflows have reduced critical phases of vehicle development timelines from months to days in some cases. Applied Intuition has offered limited, early access to select customers, including heavy-equipment manufacturer Komatsu and Isuzu Motors, who is using the platform to accelerate L4 autonomy for its fleet of commercial trucks.

“We’ve been impressed by how Dana can streamline complex engineering workflows and accelerate development,” said Yasuhiro Yazawa, Director, Isuzu Motors Limited, Japan. “Dana gives our engineering teams greater confidence to develop, track and deploy safe autonomous-vehicle capabilities at a much faster pace.”

“Applied Intuition has been a valuable technology partner as we continue advancing the digital capabilities that support the next generation of mining equipment and solutions,” said Peter Salditt, CEO, Komatsu Mining. “Dana represents another step forward, bringing intelligent, agentic capabilities into our engineering workflows to help our teams innovate faster, improve efficiency and ultimately create greater value for our customers’ operations.”

Dana is designed to help companies keep up with the fundamental shift now underway across industries. As autonomous vehicles, robots and industrial systems become more capable, manufacturers need a more integrated way to build, validate and deploy them safely. Dana gives teams a faster path from idea to production, and the confidence to put increasingly intelligent machines into the real world.

The future of AI is physical. Dana was built for it.

To learn more about Dana and Applied Intuition’s physical AI platform, visit AppliedIntuition.com.

About Applied Intuition
Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with nearly two dozen offices across the globe, including in London, Munich, Tokyo, Seoul, and the Washington, D.C. metro area. Learn more at applied.co or press@applied.co.

View original content:https://www.prnewswire.com/apac/news-releases/applied-intuition-launches-dana-the-agentic-platform-for-physical-ai-302831516.html

SOURCE Applied Intuition, Inc.

Continue Reading

Trending