Client Spotlight | Workhelix
Meet the people building businesses with Lawyerly: their industries, their decisions, their successes and the valuable insights they’ve gained along the way.
James Milin, Co-founder + CEO | Workhelix
James Milin spent his career helping large organizations adopt transformative technology — at the Department of Justice, Amazon Web Services, Google, and across a series of venture-backed startups. Workhelix is his answer to the problem he kept running into: companies investing heavily in AI with no rigorous way to measure whether it was working. Built alongside leading economists from Stanford and MIT, and backed by Reid Hoffman, Mira Murati, and Andrew Ng, Workhelix helps enterprises identify where AI creates value, prioritize the right opportunities, and track the outcomes.
In this conversation, James talks about how that team came together, why thinking in tasks rather than jobs changes everything, what most leaders are getting wrong about AI, and how Workhelix built the infrastructure to sell into Fortune 500 companies from day one.
James Milin, Co-founder + CEO | Workhelix
Workhelix brought together a Stanford economist, an MIT researcher and a tech sales veteran to solve one of the biggest questions in business right now. How did that group of people end up in the same room, and what is it you're building together?
James: The short answer is that we were all looking at the same problem from different angles.
Erik Brynjolfsson at Stanford and Andy McAfee at MIT have spent years studying how technology changes work and productivity. Their research consistently pointed to the same conclusion: most organizations think about technology at the level of jobs or departments, but the real impact happens at the level of tasks.
My background is different. I've spent my career helping enterprises adopt major technology platforms at Amazon, Google, and other venture-backed companies. I saw firsthand that organizations were investing heavily in AI but struggling to answer basic questions: Where should we use it? How much value is it creating? How do we measure success?
Workhelix emerged from bringing those worlds together. We combine decades of academic research with enterprise execution. We help organizations identify where AI can create the most value, prioritize those opportunities, and then measure whether they're actually realizing the benefits. Our goal is simple: turn AI from a technology experiment into a measurable productivity engine.
Your career started at the Department of Justice. How does someone with that background end up as a tech CEO backed by the likes of Reid Hoffman and Mira Murati?
James: My career has always centered on large-scale systems and institutional change. Early on, that happened in government. Later, it happened in technology.
What attracted me to tech was the opportunity to help organizations transform how they operate. At Amazon Web Services, Google, and in previous startups, I worked with enterprises navigating major technology shifts. Over time, I became fascinated by a recurring pattern: the technology itself was rarely the biggest challenge. Adoption was.
AI is the most powerful technology shift we've seen in decades, but many organizations are still approaching it with intuition rather than evidence. That's the problem we set out to solve at Workhelix.
I think investors like Reid Hoffman, Mira Murati, Andrew Ng, and others saw that we weren't building another AI model or application. We were building the infrastructure companies need to actually create value from AI at scale. That's a very different problem — and one that affects virtually every large organization.
“Leaders should spend less time debating whether AI will change work and more time understanding exactly how work is changing today. That’s where the competitive advantage is created.”
You've said the workforce of 2035 will look significantly different from today. What do you think most business leaders are getting wrong about how to prepare for that?
James: The biggest mistake is thinking in terms of jobs instead of tasks.
Many leaders ask, "Which jobs will AI replace?" That's the wrong question. Almost every role consists of dozens of tasks. Some will be dramatically accelerated by AI.
The organizations that win won't be the ones that automate the most. They'll be the ones that redesign work most effectively.
I expect most employees will work alongside AI every day. The most valuable workers won't necessarily be the people with the deepest technical expertise. They'll be the people who know how to combine human capabilities and AI capabilities into better outcomes.
Leaders should spend less time debating whether AI will change work and more time understanding exactly how work is changing today. That's where the competitive advantage is created.
Selling into large enterprises means navigating procurement processes, data agreements, security requirements, and complex contracting. How did you build the commercial and legal infrastructure to handle that as an early-stage startup?
James: We made a conscious decision early on to build for enterprise requirements from day one.
When you're working with Fortune 500 companies, trust matters as much as technology. That means having the security posture, data governance, contracting framework, and compliance processes that large organizations expect. It's been critical to be working with nimble partners like Lawyerly who are able to deal with complex and fast-moving needs.
My experience selling into enterprises helped because Lawyerly knows the standard questions procurement, legal, and security teams would ask. We didn't view those requirements as obstacles. We viewed them as part of the product.
We also benefited from having a customer problem that was both urgent and strategic. AI transformation has become a board-level priority. When you're helping executives answer questions about productivity, workforce transformation, and AI ROI, organizations are willing to engage deeply — but they also expect enterprise-grade rigor.
Building that infrastructure early allowed us to move faster later.
What's next for Workhelix?
James: We're still in the very early stages of one of the biggest technology transformations in history.
Today, most organizations are asking where AI can create value. Soon they'll be asking how to continuously optimize an AI-enabled workforce.
Our focus is expanding the breadth and depth of our platform, helping customers analyze more work, track more outcomes, and make better decisions about AI investments. We're also continuing to build the measurement frameworks that allow leaders to separate real impact from hype.
Ultimately, our mission is to help organizations unlock the productivity gains that AI makes possible. We believe the opportunity is enormous — not because AI is new, but because most companies still don't have a rigorous way to deploy it and measure its value. That's the problem we're focused on solving.
These responses are also consistent with Workhelix's positioning around identifying AI opportunities, measuring impact, and accelerating enterprise AI transformation.
