Changemakers Archives - 成人VR视频 Blog https://blogs.thomsonreuters.com/general-blog/topic/chosen-by-changemakers/ Wed, 05 Aug 2026 16:11:01 +0000 en-US hourly 1 https://wordpress.org/?v=6.8.7 How 成人VR视频 is using AI to reimagine how we work听 https://blogs.thomsonreuters.com/general-blog/how-thomson-reuters-is-using-ai-to-reimagine-how-we-work/ Wed, 05 Aug 2026 11:20:41 +0000 https://blogs.thomsonreuters.com/general-blog/?p=21869 By Jason Escaravage Chief Information Officer at 成人VR视频 At 成人VR视频, we power the world’s business-critical professions with trusted, …

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By Jason Escaravage
Chief Information Officer at 成人VR视频


At 成人VR视频, we power the world’s business-critical professions with trusted, AI-powered technology built for high-stakes work. That’s not just a promise we make to our customers 鈥 it’s a standard we hold ourselves to every single day, inside our own walls. Because to deliver the kind of professional-grade technology that changemakers rely on, we must operate like the modern tech company we’re becoming.

We’re using AI to reimagine how we work 鈥 not as a one-time project with a set end date, but as a fundamental and ongoing shift in how 成人VR视频 thinks, builds, and moves.

The imperative is clear

The world is changing rapidly, and we must build the operational discipline and technology and talent strategy to pivot quickly, reimagine work in real time, and act fast while obsessing over our customers. This is not optional. Our opportunity 鈥 and our responsibility 鈥 is to shape the future now, both for 成人VR视频 and for the professionals who depend on us.

With a听鈥減owered by AI, driven by people鈥澨齧indset, we鈥檙e reimagining听how we work 鈥 simplifying听processes, embedding听AI responsibly and empowering听colleagues to move faster and deliver measurable impact.听We leverage our听key differentiators 鈥 our content, our听editorial听and technology听expertise and go-to-market capabilities that no competitor can replicate.听

A transformation built on proven foundations

成人VR视频 launched its internal AI transformation听over three years ago, co-led by our Technology听and听Human Resources听teams. We took a holistic approach 鈥 one that required technology deployment,听culture听change,听security and听governance frameworks听鈥 in parallel with听evaluating core skills听across the workforce听and how we measure success.

As part of our ongoing maturity journey,听in 2024-2025,听we听established secure access to听a range of听AI solutions, on a dedicated employee AI platform and听within our听collaboration tools.听We听promoted a culture of听experimentation听and scaled our platforms to support听450听key听use cases.听In听2025, we听built the foundation. Now, we听are听narrowing the gap between adoption and value.听As of听April 2026, 70% of employees use AI tools consistently.听2026 is about听habit-building and听meaningful听use,听scaling what works and听transforming end-to-end workflows.听But that is not good enough. We expect听ALL employees at 成人VR视频 to听be using AI, every听day.听

Why it matters

Leading in鈥疉I鈥internally鈥痠s essential. Work has become more intense, with competing demands鈥痑nd鈥痗onstant contextswitching.听We can鈥檛 offer our customers the products and service levels we aspire to offer them without it.听The greatest value鈥痜rom鈥疉I doesn鈥檛 come鈥痜rom鈥痮neoff use. It comes鈥痜rom consistent habits over time鈥 treating鈥疉I鈥痑s鈥痑鈥痶hinking鈥痑nd鈥痺orkload partner, enabling productivity鈥痑cross鈥痑ll dimensions of our work.听In parallel听with technical听skills,听we听nurture听uniquely听human skills听which increasingly complement听successful AI adoption: critical听thinking, curiosity听and judgment.听听

Reimagining work in 2026 and beyond

In听2026 our focus听has听shifted听to driving听operational and business impacts听across all of 成人VR视频:听improved cycle times, quality, customer outcomes and productivity.听Our targeted areas of focus include AI transformation to augment and upskill talent and eliminate or automate workflows; building a high-performance culture that attracts top talent; streamlining vendor management and commercial systems; and expanding digital channel opportunities.

This requires more than new tools. It requires a true mindset shift. To reimagine the future, we need agile design thinking, rapid testing and iteration, and the commitment to challenging traditional ways of working. Leaders across 成人VR视频 must play a critical role 鈥 exploring opportunities for automation and AI-first workflows, and actively upskilling talent for the AI-enabled future.

At the individual level, that means asking “how could I use AI as a thinking and workload partner?” before starting any task. At the team level, it means holding managers accountable to coach and mentor their teams to听be a part of听our AI transformation.听It means actively engaging in strategic conversations about听our AI tool strategy听and how workflows, team structures, and roles can and should evolve with an AI-native听approach.

The infrastructure that makes it possible

Reimagining how we work requires a foundation strong enough to support the ambition. Our internal AI platform, Open Arena, is accessible to all 26,000 成人VR视频 employees 鈥 offering secure access to听seven听large language model providers spanning 52 distinct models, with the ability to build multi-step workflows, conduct deep research, and operate within robust data protection controls.听We continue to expand access to Microsoft听365 Copilot, Claude.ai听as well as听a range of function-specific tools tailored to how each team actually works.听We听are actively evaluating frontier AI technologies听and agentic听capabilities embedded in听workflows听so that we can听equip our workforce to听innovate and deliver strategic value.听听

Operating AI-first also requires us to transform how we use data across the organization so that our teams have ready access to intelligence that facilitates decision making and better outcomes for the professionals we serve.听

Built by the people who’ve done the work

What makes this transformation meaningful 鈥 not just measurable 鈥 is that it’s inseparable from the promise we make to our customers. 成人VR视频 uniquely combines deep domain expertise, authoritative content, and connected workflow solutions,听to offer our customers听fiduciary-grade AI. That expertise isn’t a quality check after the fact 鈥 it’s a foundational input. It’s structural.听When we reimagine how we work internally, we do it with that same standard in mind.听We elevate the quality听and speed of decision听making听鈥 and our trust in those decisions. We’re not approximating what a modern technology company looks like. We’re building one 鈥 from the inside out 鈥 with the same rigor, the same听thought leadership, and the same commitment to getting it right that our customers expect from us.

The work continues

We cannot take our foot off the pedal. Our success in 2026 is critical for 2027 and 2028. The professionals who rely on 成人VR视频 鈥 the lawyers, accountants, tax specialists, and compliance experts who shape the world around them 鈥 deserve a partner that is always moving forward.

It is why 鈥Chosen by changemakers鈥 is more than a campaign line for us. It describes the professionals we build for: people whose decisions carry consequence, whose work creates certainty, and whose impact reaches far beyond the task in front of them.听Meeting and exceeding their听standards听are听both our challenge and opportunity.听听

That is what it means to be chosen by changemakers. Built by people who’ve done the work. Reimagining what’s possible 鈥 inside and out.

The right technology can change everything

The right technology can change everything

The best don't just do their work. They change what is possible.

See how 鈫

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The tools that keep Reuters journalists 鈥 and its customers 鈥 ahead of the story https://blogs.thomsonreuters.com/general-blog/the-tools-that-keep-reuters-journalists-and-its-customers-ahead-of-the-story/ Thu, 23 Jul 2026 14:16:45 +0000 https://blogs.thomsonreuters.com/general-blog/?p=21864 By Mahesh Ramachandran Chief Technology Officer, Reuters Journalism has always been a race: to understand what happened, verify it, add …

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By Mahesh Ramachandran
Chief Technology Officer, Reuters


Journalism has always been a race: to understand what happened, verify it, add context and reach the people who need to know. That mission hasn鈥檛 changed. What has changed is the terrain 鈥 and the tools that help journalists navigate it.

The latest tool, generative AI, buys journalists the one thing they need most in a race: time. By fundamentally slashing the time required to send news alerts from a press release, translating a story into Japanese or German or turning a transcript into a first drafts from hours into seconds, it creates space for higher-value work. That reclaimed time is where the real advantage lies.

At , we have spent the last two years building tools that close that gap in ways that preserve what a 175-year-old news organization cannot afford to compromise: accuracy, trust and editorial accountability.

When building AI-assisted editorial tools, the temptation is to optimize for speed: get the alert out faster, and get the summary live before the competition. Speed is fundamental and incredibly valuable at Reuters 鈥 and our clients depend on it.

But we understood that speed unmoored from accuracy is the opposite of what our customers need. A fast wrong answer is worse than a slow right one. Our tools had to be fast and correct, or they were not Reuters tools at all.

Two kinds of AI tools

The editorial tools we have built fall into two broad categories: tools that reduce friction in production, and tools that expand what is possible.

In the first category: our AI summarization skill, which now generates bullet-point summaries for 94 percent of major news stories, up from 33 percent before the tool existed. CheckMATE, our generative AI tool for enhancing machine translation quality, is used by more than 100 Reuters translators across French, Spanish, Portuguese, Italian, Korean, Chinese and Japanese. These tools do not produce content that goes straight to readers. They produce better starting points for journalists who then edit, verify and are accountable for the result.

In that same category sits LAMP, our packaging platform. Pairing a story with the right images, video and related items used to be careful manual work. LAMP uses a large-language model to match assets to stories with markedly high accuracy. The journalist still owns the final package. The machine just removes the assembly work.

In the second category: AI-voiced video packages in Spanish and Portuguese, which let us serve global markets at a scale that was previously out of reach. And Super Summaries, our AI-driven earnings intelligence product launched in July 2025, has expanded Reuters earnings coverage with more than 3,600 additional companies thus far. These tools create new value, not just faster versions of things we already did.

Video is the next frontier for that kind of reach. Live events generate hours of raw footage that someone must watch, log and cut before a single clip reaches a client. For the World Cup, we built an AI video-enrichment pipeline that helps turn the relentless volume of press conference footage into edited, ready-to-use raw video, at scale. It is the difference between covering a single moment and covering everything that is happening around it.

Why journalists have to be in the room

The most important lesson from this work is one that any technologist building for knowledge workers will recognize: the people closest to the work know things the technology does not.

Every tool we have deployed went through multiple rounds of development with journalists in the room 鈥 not as test users at the end of the process, but as co-designers from the beginning. When our alert suggestion and text annotation tool FactGenie got a news judgment call wrong, it was our journalists who could articulate exactly why it was wrong and what the model had missed. When CheckMATE flagged a translation error, it was our translators who knew whether the fix preserved the right register and tone. You cannot build that kind of editorial intelligence into a system without editorial intelligence built into the process itself.

The journalists who use our tools are not the only beneficiaries. The clients who depend on Reuters are as well.

When a financial professional opens a Super Summary on a company Reuters previously could not cover, that is a direct consequence of AI-powered scale applied with editorial judgment. When a media client receives a news package in Spanish that would previously have required a separate production workflow, that is AI-enabled reach. When an alert reaches a client鈥檚 screen ahead of the competition, that is AI-assisted speed, backed by the same editorial standards that have defined Reuters since 1851.

We are also building AI tools into the platforms our clients use directly. Reuters Connect has integrated AI-driven search. Reuters Imagen is deploying new features to speed up and enhance video editing. We launched the Reuters AI Suite in April 2025, starting with transcription and translation tools tuned specifically for news use. The goal is not just to give clients better content. It is to give them better workflows.

Setting the bar for what comes next

The professionals Reuters serves 鈥 journalists, financial analysts, media organizations, tech companies and consumers 鈥 share something with every changemaker: their work carries consequence. The decisions they make reach further than the task in front of them.

That is the opportunity AI presents for us: not to replace the judgment that makes Reuters valuable, but to give the people who exercise that judgment more time, more reach and better tools. AI helps them get to the story faster, understand more of the world and serve their audiences with depth and accuracy.

The technology that earns a place in this newsroom is technology that meets our standards. That is a high bar. And it is the same bar we are setting for everything we build next.

The right technology can change everything

The right technology can change everything

The best don't just do their work. They change what is possible.

See how 鈫

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Behind every changemaker are trusted partnerships https://blogs.thomsonreuters.com/general-blog/changemakers-need-trusted-partners/ Thu, 23 Jul 2026 14:05:31 +0000 https://blogs.thomsonreuters.com/general-blog/?p=21931 By Camillo Speroni Head of Partnerships and Alliances at 成人VR视频 Those who drive real change don鈥檛 do it themselves. …

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By Camillo Speroni
Head of Partnerships and Alliances at 成人VR视频


Those who drive real change don鈥檛 do it themselves.

They find the right partners. They move fast. They stay focused on outcomes, not optics. And they build trusted relationships that create real, visible business results.

That’s what changemaking looks like in partnerships.

Change in legal, tax, and compliance doesn鈥檛 wait for consensus. I鈥檝e watched firms overhaul their infrastructure and move to the cloud while competitors were still debating the business case. I鈥檝e seen AI go from an emerging capability to the backbone of professional workflows in the span of a few years. The window to lead doesn鈥檛 stay open long. The firms that moved decisively won ground they haven鈥檛 given back. The ones that hesitated are still catching up.

But here鈥檚 the part that gets underestimated: Speed and ambition only get you so far on your own. The real leverage, the kind that creates durable competitive impact, comes from partnerships built on complementary strengths, genuine trust, and a shared obsession with the outcome.

That’s the lens we bring to every partnership at 成人VR视频: real results for real professionals

I see the same pattern in the work we鈥檙e doing alongside Anthropic and Google. Our new MCP integration with Anthropic connects Claude directly to CoCounsel Legal. Attorneys can move seamlessly between general-purpose AI and fiduciary-grade legal workflows without leaving either environment. With Google, we鈥檙e extending our solutions through advanced cloud infrastructure so enterprise customers can pursue their broader cloud and AI strategies without sacrificing the security and scalability their work demands.

Our partnership history goes far beyond AI partners and platforms. The Big Four consulting firms have worked closely with 成人VR视频 for decades to find the best compliance solutions for their clients to enable changemakers in large, multinational enterprises. Specialized legal partners like DeepJudge听– bringing AI-powered knowledge management to law firms – and Sterne Kessler, where we built a analysis together, show the same pattern at a different scale. So do our longstanding partnerships with leading ERP providers, where 成人VR视频 content and workflows are embedded directly into the enterprise systems and advisory practices professionals already rely on.

The partners who move markets share a few things in common.

The best ones know their lane and they own it. They bring deep, differentiated expertise and trust you to bring yours. That clarity is what makes the collaboration valuable. Sterne Kessler didn鈥檛 need to become a content/data company. They needed a partner who was one.

They also engage at every level. The most productive partnerships aren鈥檛 managed at arm鈥檚 length through quarterly business reviews. They鈥檙e built through ongoing dialogue, real accountability, and people on both sides genuinely invested in making it work. The relationship is the infrastructure.

What separates the best from the rest, though, is the ability to operate in uncertainty. This industry is changing too fast for anyone to have all the answers upfront. The partners who create the most impact make sharp decisions with incomplete information and adjust as clarity develops. Paralysis in the face of ambiguity is expensive.

And underlying all of it: a genuine focus on the mutual win. The best partnerships aren鈥檛 zero-sum. They鈥檙e structured so that growth for one creates growth for the other. That alignment of incentives is what drives scale and engagement across companies, teams and individuals.

Every significant shift I’ve seen in my career has been accelerated by the right partnerships forming at the right time. We’re in one of those moments now…. AI is moving fast, the regulatory environment is shifting, and the professionals we serve are under more pressure to do more with less. The partnerships we build today will determine what this industry looks like in five years.

The right technology can change everything

The right technology can change everything

The best don't just do their work. They change what is possible.

See how 鈫

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We didn’t come here to watch the transformation. We came to lead it. https://blogs.thomsonreuters.com/general-blog/we-didnt-come-here-to-watch-the-transformation-we-came-to-lead-it/ Fri, 17 Jul 2026 14:33:12 +0000 https://blogs.thomsonreuters.com/general-blog/?p=21856 By Raghu Ramanathan President, Legal Professionals at 成人VR视频 When a lawyer relies on a source to advise a client, …

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By Raghu Ramanathan
President, Legal Professionals at 成人VR视频


When a lawyer relies on a source to advise a client, when a legal department builds a workflow around a platform, when a compliance team puts their risk strategy on the line, they are making a bet on a partner they believe will get it right. Every single time. That trust is not given. It is earned over decades, and it can be lost in a moment.

That is the lens through which my team and I approach everything we do. We are not observers of a transformation happening around us. We are changemakers, and we hold ourselves to that standard.

The question that actually matters

Our 2026 AI in Professional Services Report makes something clear: the window for AI experimentation has closed. Enterprise-wide AI usage nearly doubled across legal, tax, and corporate sectors in a single year. More than 80% of professionals using AI today do so at least weekly. And 87% expect it to be a central part of their workflow within five years. The early adopter advantage is gone. What remains is the question of who builds on the right foundation, and who doesn’t.

Almost every AI system today can help professionals move faster. The harder question, the one that actually matters in high-stakes legal work, is whether you can stand behind the answer. Speed is the easy part. Knowing you can stand behind the answer, that is what we are focused on.

The same report found that accuracy and reliability concerns remain the top reasons professionals hesitate to trust AI. That is not a technology problem. It is a trust problem. And trust, in legal work, is not abstract – a missed citation, an unsupported analysis, an output no court would recognize are not productivity losses. They are professional failures. In some cases, they are justice failures.

Not all AI is used in the same way, and it cannot be held to a single standard. This is especially true in industries with professional liability; AI must meet a higher bar than general productivity tools. Where outputs shape legal judgments, regulatory filings, or client advice, 鈥渁lmost right鈥 falls short. 成人VR视频 defines this higher bar as Fiduciary-Grade AI, the standard for how AI should perform in high-stakes professions, and the standard we build to.

What this looks like practice

CoCounsel Legal is that standard. Built on Anthropic’s Claude Agent SDK, it is a unified agentic platform that plans, retrieves authoritative content, and adapts mid-workflow 鈥 just as a senior associate would. It is built with Westlaw and Practical Law natively embedded, guided by 35 million West Key Number classifications. The lawyer stays in control throughout, able to see the agent’s reasoning, challenge its assumptions, and redirect its approach.

When , a partner at Troutman Pepper Locke, tested it on a complex TCPA question, her conclusion was that she had found not a faster tool, but a different kind of tool. That distinction is everything.

One million professionals across 107 countries have now chosen CoCounsel, including 97 of the Am Law 100 firms and 95 of the Fortune 100. That number doesn’t represent market share. It represents professionals who needed to get it right and trusted us to help them do it.

How changemakers build

Changemakers don’t wait for certainty before moving. They move when the direction is right and the foundation is sound, and then they build in partnership with customers. That is exactly how we launched the next generation of CoCounsel Legal: as a beta, with leading firms, inviting them to shape what the product becomes.

We hold ourselves to the same accountability standard we ask our customers to hold themselves to. The professionals who move the world, who uphold the rule of law, defend the wrongfully convicted, and keep the engines of commerce turning deserve AI that is worthy of the work they do.

That is what we are building. And that is why, when professionals choose who they want to build this future with, they keep choosing 成人VR视频. That is what it means to be chosen by changemakers.

The window for AI experimentation in legal has closed. What comes next is building on the right foundation. I share what that means for legal professionals, and why the question that actually matters is not whether AI is fast, but whether you can stand behind what it produces.

CoCounsel Legal

AI built to the standard the profession demands

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Chosen by changemakers: Building AI people can stand behind https://blogs.thomsonreuters.com/general-blog/building-ai-people-can-stand-behind/ Fri, 17 Jul 2026 13:56:23 +0000 https://blogs.thomsonreuters.com/general-blog/?p=21778 Systems will not only respond to questions. They will plan, coordinate tools, reason across context, act across workflows, and move …

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Systems will not only respond to questions. They will plan, coordinate tools, reason across context, act across workflows, and move complex work forward. That is a remarkable shift. It will change how work gets done across every industry.

But for the professionals 成人VR视频 serves, agentic AI is not enough. In legal, tax, risk, compliance, and other high-stakes environments, a system that can act is only valuable if it can act with the right context, within the right controls, from the right sources, and with a clear path for human verification. Autonomy without accountability is not progress. It is risk. The next category will not be defined by autonomy alone. It will be defined by accountable autonomy.

What is means to be a Changemaker

It is why 鈥Chosen by changemakers鈥 is more than a campaign line for us. It describes the professionals we build for: people whose decisions carry consequence, whose work creates certainty, and whose impact reaches far beyond the task in front of them.

When AI can generate a credible answer in seconds, expertise moves up a level. It becomes less about producing every output yourself and more about knowing what to ask, what to trust, what to challenge, and what you are willing to stand behind.

That is what changemakers do.

To me, changemakers are not defined by how quickly they adopt new technology. They are defined by what they do with it. They are the professionals who use better tools to make better decisions, reduce risk, create certainty, protect rights, strengthen institutions, and help businesses and societies move forward.

Changemakers are not looking for technology that replaces their judgment. They need technology that sharpens it. That belief is shaping how we build at 成人VR视频.

Introducing Fiduciary-Grade AI

For 175 years, professionals have chosen 成人VR视频 because their work carries consequence. Our next chapter is about taking the trust, authority, and expertise this company has built over generations and expressing it in a new form: Fiduciary-Grade AI.

Fiduciary-Grade AI is our standard for AI in high-stakes professions: grounded in authoritative, domain-specific content, shaped by subject matter experts, protected by rigorous privacy and security safeguards, and designed to produce outputs professionals can verify, explain, and defend. If agentic AI is the capability, Fiduciary-Grade AI is the standard that makes it usable in professional work.

That distinction matters because the market is moving quickly from AI assistants to AI agents. But in professional work, the end state is not a collection of agents completing isolated tasks. The real opportunity is agentic work systems: trusted systems that can reason across professional context, coordinate content and tools, act across steps, support verification, and keep the human professional in control. This is the shift from AI as a side tool to AI as part of the system of work itself.

What this looks like in practice

What that looks like depends on the professional context.

In legal, it is matter-aware agentic work across documents, legal authorities, matter context, drafting tasks, review workflows, and verification needs.

In tax, it is engagement-aware agentic work across filings, workpapers, notices, compliance, planning, advisory, and client-specific context.

For corporate professionals, it is business-aware agentic work across contracts, policies, obligations, risk, compliance, regulatory requirements, and enterprise workflows.

Across all of these environments, the goal is the same: AI that does not simply answer questions, but helps professionals understand, decide, act, and verify with confidence.

That is why 成人VR视频 is built to lead this next era. Our advantage is the unique combination of authoritative content, unmatched domain expertise, and technology built around the way professionals actually work. In the AI era, that combination becomes even more valuable.

That is technology with purpose.

 

Why 成人VR视频 is positioned to lead

That is why this moment is so consequential for 成人VR视频 and for the customers we serve. We are not simply adding AI to existing products. We are re-architecting how professional work gets done, with CoCounsel becoming the trusted AI experience where professionals can bring together their work, their documents, their trusted sources, their tools, their collaborators, and the agentic intelligence needed to move complex work forward.

This is one of the most significant transformations in our company鈥檚 history. It requires us to move with speed and ambition, but also with the responsibility that comes from serving professions where trust is non-negotiable.

The easy path in AI is to celebrate what the technology can do. The harder and more important path is to build for the professionals who must understand, verify, explain, and own the outcome.

That is what changemakers deserve. Real change does not start with technology alone. It starts with people willing to take responsibility for a better future.

That is what it means to be chosen by changemakers. It means building technology for the people who do not just adapt to the future, but create it, and who need AI they can trust when the work matters most.

The right technology can change everything

The right technology can change everything

The best don't just do their work. They change what is possible.

See how 鈫

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