Fiduciary‑Grade AI is �������� standard for how AI should work in high‑stakes professions. It’s AI designed for professionals with duties of care and regulatory oversight – drawing on our authoritative, domain‑specific content; protected by rigorous privacy and security safeguards; shaped by subject‑matter experts; and designed to produce transparent outputs that can be verified.

Almost Right is Not Good Enough��

Before professionals operating in high-precision fields can fully embrace deeper AI integration into their everyday workflows, they need to know that the AI they are using stands up to scrutiny and that its outputs are reliable and verifiable.

For generations, professional trust has been defined by standards, certification, and fiduciary duty. When someone carries a designation like CPA in accounting or JD in legal, we understand both their qualifications and the obligations that govern how they must act. If we expect AI to start to take on more meaningful shares of human time, then as we assess a human’s fitness for purpose for a job, we must also validate an AI’s fitness for purpose.

High Stakes Professional Work Requires a Different Standard

In regulated professions that prioritize accuracy, accountability, and trust, AI must be built to a Fiduciary-Grade standard. That means real, factual, authoritative sources, traceable reasoning, and transparent outputs that are ready for human review and verification under professional and regulatory expectations.

As AI takes on more responsibility in completing professional work, it does not assume any additional accountability. That accountability remains entirely human. Professionals remain responsible for the judgments made, the advice delivered, and the outcomes that follow. Fiduciary- Grade AI is designed to support human judgment, not replace it, by producing work that can be examined, explained, and defended under real-world professional and regulatory scrutiny.

The Four Principles of Fiduciary-Grade AI��

Fiduciary‑Grade AI is defined not just by what it produces, but by what it is allowed to access, retain, and rely upon in generating outputs that inform professional judgment.

AI grounded in authority; with access to the right context.
A Fiduciary-Grade AI system must derive its substantive outputs from authoritative, curated, and domain-specific content, not just information scraped from the open internet, while also operating with the full context required to complete professional work. Every material output must be traceable to a source that a qualified professional can independently locate, cite, verify, and trust. And only when AI agents can access, know, and act on the specific data, knowledge, systems, and tools can they complete the complex, multi-step tasks that professional work demands.

Data privacy and security are imperative.
Where privacy is paramount, Fiduciary‑Grade AI is built to protect it. Privacy and security must be structural features of the system’s architecture, not policy overlays or configurable options.

Built with human expertise, not just human oversight.
Professional workflows must be designed, tested, and continuously refined with meaningful involvement from credentialed subject matter experts in the relevant professional domain. When ambiguity or risk arises, the system must recognize its limits and bring professionals back in rather than generating an output that overstates its reliability, keeping accountability human and outcomes defensible. Fiduciary-Grade AI requires that customers have access to real-time human support to ensure transparency and trust.

Transparent, verifiable reasoning.
By clearly surfacing and referencing the sources it relies on, AI must be able to provide a reviewable trail of what the system did and what it relied on, sufficient to allow a qualified professional, and, where applicable, a regulator, court, or auditor – to evaluate the basis for the output and determine whether the result is reliable and defensible. Making each step in its planning, reasoning, and execution process visible to the user is vital to helping young professionals learn and grow.

This is the standard we build to at ��������, and the standard delivered through CoCounsel for legal, tax, audit, and compliance professionals. As AI moves deeper into regulated work, the defining question is no longer whether a system can generate an answer – it’s whether professionals can verify and stand behind the result.

In law, starting work has never been a constraint. Finishing it accurately, defensibly, and at a professional standard is. We are already seeing that distinction begin to shape how this market is evolving. While AI is expanding where work begins whether that’s in a general-purpose AI tool, an email, or inside a document workflow, it is not the system that can stand behind the result. In practice, the control point in legal AI is not the interface where work is initiated. It is the system where that work is validated, grounded, and completed.

AI can now draft, summarize, and analyze in seconds. This is changing how legal work begins. But legal work does not end with a draft. It ends when someone can put their name on it. That requires outputs to be grounded in authoritative sources, validated for accuracy, and traceable back to their origin. These are system-level requirements.

There is a growing narrative that AI will replace enterprise systems. What’s actually emerging is a separation of roles: AI is where work begins; professional systems are where it is executed, validated, and completed. AI assistants are becoming the place where work begins, while professional systems are where that work is executed, validated, and completed. These roles are complementary, but not equal. The layer where work begins is broad, fast-moving, and increasingly interchangeable. In practice, the layer where work is completed is where trust and accountability sit. It is also where meaningful differentiation shows up, because that is the layer responsible for producing outputs professionals can stand behind. Trust is built into the architecture, including the content, the validation, and the way outputs are produced.

As AI becomes embedded across more tools and environments, work can start almost anywhere. The question is where it resolves, and what system ensures it is right. Our expanded partnership with Anthropic, as outlined in our recent announcement, reflects how this is starting to take shape. , connecting that work directly into professional systems helps ensure it carries through to completion with the rigor required in professional settings. This is less about embedding a system into every interface and more about ensuring that wherever work begins, it can be completed in systems designed to stand behind the result.

The most advanced legal organizations are already operating this way. They use general-purpose AI to accelerate early thinking and exploration, and professional systems to complete high-stakes work. This is already happening in firms like . The pattern is not that AI replaces the system, but that the two now perform distinct and complementary roles. AI is not replacing the system. It is changing how work flows into it.

As this architecture evolves, the distinction between where work starts and where it finishes is becoming more important, not less. Work will begin everywhere, but it will not finish everywhere. When that validation layer is missing, the consequences are already visible, from hallucinated citations to filings that cannot withstand scrutiny. Systems that can validate it, ground it in authoritative content, and make it defensible in real professional contexts. The next generation of CoCounsel Legal, now in beta, reflects this shift, with customers increasingly relying on it to complete workflows end to end.

“The new version of CoCounsel is now one of the first tools I turn to when I want to get work done. Where I once used CoCounsel for specific tasks, I now start nearly everything with it.”
— Sterne, Kessler, Goldstein & Fox PLLC

The next phase of this market is unlikely to be defined by who helps professionals start work fastest. It will be defined by who enables them to finish it with confidence.

Recent media reporting has speculated about how our data is used by government agencies and third-party technology platforms – in our view this reflects misunderstandings about how our products are governed and safeguarded. Given these topics sit at the intersection of national security, public safety, and individual rights, we think it’s important to share the facts and provide some context that may be missing from the conversation.

Our Products

We provide technology and services that support investigations into areas of national security and public safety, such as child exploitation, human trafficking, narcotics and weapons trafficking and financial crime. In time-sensitive investigations when a child is missing, an active crime scene is unfolding, or an illicit drug interception is in progress, our tools provide law enforcement access to critical information when every second counts. It’s important to note our investigative solutions are not surveillance tools and do not have surveillance capabilities.

One of these products is �������� CLEAR, a research and investigative tool that is licensed exclusively to select businesses, law enforcement and government agencies to help expedite investigative processes in legitimate legal investigations. Much of the data CLEAR provides – such as court and property records – is publicly available. All of this data is licensable directly from third parties. CLEAR does not contain the types of information that law enforcement traditionally need a warrant to obtain, and CLEAR does not include information about an individual’s citizenship or immigration status. In fact, immigration status is not a search field in CLEAR.

Some of the recent speculation in the press has confused CLEAR and License Plate Recognition (LPR), a Motorola product that we offer. These are two separate products. A customer can subscribe to either or both. ��For example, our $22.8 million DHS contract does not include CLEAR. Regardless, LPR is not capable of tracking real time locations of a vehicle; it provides access to ad hoc images collected randomly.

Our Governance

We take seriously the legality and legitimacy of our products. They are provided under strict contractual terms, subject to applicable law, and governed by strong safeguards that limit and monitor how our products and services are used. We are confident in these controls. The appropriate use of CLEAR is also supported by credentialing to ensure our customers have a valid legal use for the solution, compliance requirements, and controls to monitor the product’s use to ensure it is being used appropriately. Where potential misuse is identified, we act promptly and decisively, including suspending and/or cancelling access when warranted. Our standard terms do not allow the redistribution of CLEAR data to third parties, and, after a contract is ended, they provide that no CLEAR data may be retained by any customer.

Palantir is not a customer of CLEAR.

Our Human Rights Commitments

Respecting human rights is core to how we operate, and we’ve built a governance framework to make sure that commitment is inherent in how we operate. It’s aligned with internationally recognized standards, and it helps us build awareness and accountability into our operations, products, and services.

We are aligned with the��, which is the global standard for identifying and addressing human rights risks connected to business activity. It gives companies like ours an internationally accepted framework to work from.

We look closely at how we can keep improving. ��As outlined in our , we have recently completed our second human rights saliency and impact assessment (HRSA/HRIA) covering our global operations, services, and products, including our investigative solutions. The 2025 assessment was carried out with an independent consultancy that specializes in human rights and responsible innovation and with legal counsel for ongoing assessment work. We are confident the risk indicators applied in this assessment are robust and relevant today. We plan to publish key findings on our website later this year.

When we think about the potential human rights impacts of how our products and services are used, we listen carefully – to both external voices and those of our own employees. Our Code of Conduct lays out clear channels for colleagues to raise questions or concerns, and we take employee feedback seriously. Our current focus is to help our teams better understand our products in context, so they can engage with the issues and address any misconceptions along the way.

Why context matters

These topics deserve scrutiny. They also benefit from accuracy and clarity.

�������� remains focused on supporting lawful investigations that make a positive impact on communities through our people, products, and partnerships, while maintaining strong safeguards around responsible data use.

Both priorities guide our work.

The accolade, announced on April 23,��2026,��is awarded to �������� for��This purpose-built agentic AI platform is designed for professionals who prioritize accuracy, accountability, and trust. ��

Built for fiduciary-grade AI��

Since its launch in March 2025,����has been adopted by firms of��all sizes across the��United States,��with��users reporting time savings of��32% per task. The solution��draws on��Thomson��Reuters Checkpoint expert-authored��content, as well as primary sources including the IRS, FASB, GASB, AICPA, and IFRS, with every answer cited and defensible.����

Judges praised����for��demonstrating��“strong innovation��in enterprise AI by delivering��an agentic AI platform that integrates research, analysis, and workflow automation into a secure,��authoritative��environment��for accounting��professionals.”��Others��highlighted��its��“strong enterprise credibility and clear positioning in a regulated domain,”��and its��“intriguing use of AI to complement human work in a notoriously complex field.”��

“CoCounsel��Tax & Audit was built to solve real problems for real professionals, and this recognition is a testament to the transformative work our team has done to reimagine what’s possible for tax and accounting professionals,”��said , President, Tax & Accounting Professionals, ��������.��“I’m proud of the meaningful, measurable impact we’re delivering for thousands of firms across the country.”��

More than 3,700 nominations from organizations of all sizes and industries were submitted this year for consideration. More than 230 professionals worldwide participating in the judging process to select this year’s Stevie Award winners.��

“Organizations across the United States continue to set a high standard for innovation and performance,”��said��Maggie Miller,��Stevie Awards President.��“The breadth and quality of nominations submitted to the 2026 American Business Awards reflect a dynamic and competitive business environment, where organizations are finding new ways to drive growth, deliver value, and make an impact.”��

Recognition beyond the Stevie Award��

The Stevie��Award��follows��,��which��recently highlighted �������� as one of the vendors most visibly shaping the agentic AI conversation in the tax industry. The��scale of��CoCounsel’s��adoption and its integration across the broader �������� stack��are��cited��as meaningful competitive differentiators in its ‘Agentic AI Tax Race’ series.����

Behind the scenes, we’re evolving our engineering culture, accelerating development cycles, and embedding AI into the way we work, because to deliver professional-grade technology externally, we must operate like a modern tech company internally.

Here’s what that transformation looks like in practice.

From Technical Debt to Engineering Velocity:

Every technology company navigates the balance between maintaining legacy systems and building for what’s next. For us, our .NET applications were a major bottleneck, slowing down innovation and tying up engineering time in maintenance instead of forward progress.

To tackle this, we partnered with AWS and joined the private preview of AWS Transform, an agentic AI-powered code modernization tool. The impact was immediate. What once took months of painstaking manual updates became a two-week sprint. Using agentic AI, we cut technical debt dramatically and lowered cloud operating costs by 30%.

But the bigger shift was cultural. Our engineers now spend less time managing legacy code and more time creating value. That’s what transformation looks like.

“This isn’t just a modernization story—it’s a mindset shift,” said Matt Wood, VP of AI Products at AWS. “�������� showed what’s possible when you combine large-scale enterprise systems with next-generation AI tools. They didn’t just migrate—they accelerated how they build, think, and deliver.”

Cloud at Scale:

Innovation can’t thrive without a strong foundation. That’s why we undertook one of the most ambitious cloud migrations in our history: moving over 500 terabytes of data and 18,000 databases to Microsoft Azure SQL Managed Instance. This shift supported over 70,000 users across 7,000 firms and dramatically improved performance, scalability, and reliability. Working side by side with Microsoft’s engineering teams, we used automation, phased rollouts, and custom tooling to modernize without disruption. We eliminated legacy bottlenecks, streamlined backup and restore processes, and reduced infrastructure complexity across the board.

“Microsoft was invaluable, working closely with us to optimize load and troubleshoot at every stage,” said Bart Matzek, Senior Director of Technology, Solutions Engineering at ��������. “This deep collaboration empowered us to build new technical capabilities and resilience. Our team emerged stronger—better equipped to deliver reliable, high-performance solutions to our customers.”

“We’re proud to support �������� in this journey,” said Arpan Shah, General Manager of Azure Infrastructure at Microsoft. “Their scale, complexity, and ambition make them a model for how modern enterprises can evolve their platforms to unlock agility, reliability, and innovation through the cloud.”

This wasn’t just about lifting and shifting infrastructure. It laid the foundation for everything we’re building next: agentic AI systems, real-time decisioning, and seamless integration across domains.

AI Agents in Action:

We’re not just building agentic AI for customers. We’re embedding it into how we operate.

One powerful example is our AI Data Analyst Agent, built in partnership with the Snowflake AI Data Cloud. This system interprets natural language queries, performs operations, and surfaces real-time insights to non-technical teams across support, finance, and operations.

“Before this agent, analyzing support cases was a manual, monthly process,” said Rittika Jindal, Principal Engineer at ��������. “Now it happens daily, automatically, and gives time back to teams to focus on the customer experience.”

We’ve built this using Snowflake’s unified platform and deployed it with governance, scalability, and reliability top of mind. Powered by LLMs like Anthropic’s Claude via Snowflake Cortex AI and observable with tools like TruLens and AgentBench, this system is secure by design. Our data never leaves Snowflake.

This is AI that works, not just in theory, but at scale and with trust.

The Bigger Picture: Operating Like a Technology Company

These aren’t isolated initiatives. They’re signals of a broader shift. Across ��������, we’re applying the same mindset we bring to customer-facing products: agile, AI-powered, and engineering-led.

We’re modernizing our tech stack. We’re hiring and empowering top-tier engineering talent. And we’re building AI into everything from code migration to platform orchestration.

This is what becoming a technology company looks like, from the inside out.

Because for us, it’s not just about what we sell. It’s about how we think, how we build, and how we move.��