Launching AI products that win: Legora

What set Legora apart from the countless AI and vertical software companies we’ve come across wasn’t the technology. Rather than shipping a tool, they shipped a partnership. The Legora team found a surefire way to embed themselves into the actual workflows at legal firms, working directly alongside lawyers from first contact through enterprise rollout.

From the beginning, Legora went after buyers known for “marking up contracts for sport”—major law firms and large enterprises—by partnering with them from Day One to ensure the product actually worked for each specific use case. The platform crossed $100 million in annual recurring revenue in just 18 months, marking a historic feat among fast-growing enterprise software companies, and doubled to $200 million ARR less than six months later.

Even before our initial investment, we’ve followed Legora’s journey closely. We sat down with Max to learn how a founder with no legal background and no traditional sales team built the fastest rocketship we’ve seen in enterprise software history. This is the full story about a different kind of founder, and a different kind of product.

Key founder lessons from Legora’s rocketship trajectory

1. Treat sales and distribution equal to the technology. Max made this a founding principle. His GTM team was built before a traditional sales team existed. Legora’s first commercial hires came from McKinsey, not SaaS sales. Treating distribution as a first-class problem was one of the earliest and most important decisions the company made.
2. Sell the partnership, not the product. Legora’s early pitch focused on the opportunity to work together on shaping what AI would become in a customer’s business. “This is not a destination,” Max told early clients. “The product you’re buying right now might not be the product you have two years from now, but we’re going to work our ass off to keep you at the frontier.” Getting enterprise clients to root for you requires a special kind of talent, and Legora earned it early.
3. Be patient for product-market fit before you push. Max recognized when the product wasn’t ready and when to take a beat before onboarding new customers. In a world where everyone is racing to grow, the counterintuitive move of slowing down to protect product-market fit preserved the foundation for everything that followed.
4. Price based on what’s feasible for the industry you’re in. Legora started with seat-based pricing and moved to consumption-based as the platform became more agentic, and usage increasingly variable across users, teams, and organizations. Your pricing model must follow your product’s actual value delivery.
5. Every function of the company must re-qualify every quarter. Max’s self-described ethos—that he personally has to re-qualify for his own role as the company evolves—extends to every team. Legora has effectively been a different company every quarter, and the leaders who thrive there are the ones who grow faster than the company does.

Finding the solution to legal AI in a pressure cooker

By 2023, the pressure on legal teams was building from two directions at once. On one side, enterprise CIOs were being handed mandates to roll out ChatGPT and Claude across their organizations. Most found that general-purpose AI trained on everything, specialized in nothing, couldn’t meet the bar legal work demands. Lawyers who experimented with early tools often walked away skeptical since a wrong answer was a liability.

On the other side, law firms were watching their own business model come under fire. Legal has long run on the billable hour, where the more time a task takes, the more a firm earns. A technology that can make lawyers dramatically faster challenges the economics of the firms using it. Wanting to protect the status quo was understandable, but as Max saw it, the status quo had an expiration date. “If you’re a law firm or a service provider and you refuse to adopt that technology, it turns out your clients are gonna go elsewhere,” he says. “What AI can do, it will do.”

“What AI can do, it will do.”

The question about whether legal AI would transform the industry turned into a question of who would build something lawyers actually trusted. The technical unlock came when Max and the team got access to GPT-3.5, and it became possible to ground a model’s responses in source documents and generate precise citations. For legal work, this was the missing piece. This upgrade in technology could point a lawyer to the exact clause, case, and source behind every answer. This is what would earn trust.

Building the AI-powered operating layer for the legal industry

Fine-tuning the models for precision

Max had a contrarian view when building Legora. He knew the foundational models were going to keep improving, and betting against giants like Anthropic and OpenAI was a losing strategy. The real opportunity he found was in what you build on top of the models, such as the scaffolding, the software, and the user experience for a specific domain and a specific kind of legal professional.

That perspective shaped how Legora’s product was built. Rather than diverting engineering resources into model development, the team focused on the layer that mattered most to lawyers: reliability. From the earliest days, Legora grounded every model response in source documents and generated precise citations back to the underlying material. “This drives trust for the system in a way that the generic LLM models just didn’t do,” says Max. At a time when legal AI tools were producing technically fluent but unverifiable answers, citations were the differentiator. This gave lawyers something they’ve needed all along to trust AI: a way to fact-check.

To measure and maintain that reliability, Legora built an evaluation system from the start. The team constructed large datasets to run across different models, testing performance and hallucination risk before anything reached a client. That eval function has now grown into a dedicated team, which has become one of the less visible but most consequential investments the company has made to date.

The localization roadmap

From the beginning, Legora’s product architecture accounted for where legal work was headed with both human lawyers and agents—agentic workflows handling complex, multi-step legal processes end to end, with a human in the loop for every task. It was a bet that most competitors weren’t making at the time. As the industry moved toward autonomous workflows, Legora’s infrastructure was primed for the shift.

The company’s localization story follows this logic. As Legora expanded beyond Sweden, the team discovered that legal work didn’t just vary country to country and that there were even more jurisdictions and hurdles to jump through. Each new market brought new procedural requirements, document standards, and compliance expectations. So rather than building a localization roadmap in advance, Legora let clients take the lead. “They simply tell us, ‘Hey, it doesn’t work here. Can you add this?’ to which we say, ‘Give us two days’,” shared Max. Building with that mindset, Legora is now available in over 50 countries and is uniquely shaped by the feedback of the lawyers working there.

Stabilizing the rocketship with a growing team

At now over 900 people, the question of how to maintain velocity without creating chaos at Legora is real. Max’s answer is structural rather than cultural. Roles are clearly defined, so that every person knows what they own and is empowered to run without waiting for permission. For the product organization specifically, Legora made the choice to hire ex-founders and former YC company builders. In other words, people who had taken products to market themselves. “We have a lot of ex-founders on our product team and can act a little as CEO over their part,” shared Max. “You have to make very tasteful and correct decisions more so than scaling a big sales organization.” Company-wide goals provide shared direction while individual ownership provides the speed.

Legora also reinvents itself every quarter, and Max expects everyone in the company to do the same. “I tell the company that we’re gonna be a different company every quarter,” he said. “It forces every function to grow, both as a team and as a contributor to that team and the company.” But that expectation starts at the top. When Sameer pointed out that what Legora needs from Max changes as often as most companies change in a year, Max didn’t push back. “Yeah, it’s probably every quarter,” he says. “I also have to re-qualify for it. I have that view of myself.”

Transparency became a forcing function when the leadership team started a Slack leaderboard to track the ratio of open-channel communications to direct messages—a simple tactic that pushed information into the open rather than letting it accumulate in private threads. Additionally, the team convenes offline once a quarter to align on the next three months ahead: what needs to get done, and which cross-functional blockers need a designated owner to move the needle. It was at one of those offsites that the consumption pricing transition got a sponsor and a plan.

How Legora priced, sold, and scaled

Finding the right price for legal teams

“Many of our customers are using hundreds of thousands or millions of dollars worth of LLM usage,” says Max. With the platform becoming more agentic, with variable usage between different users, seat-based pricing doesn’t accommodate that reality. Outcome-based pricing wasn’t an option because, though it seems intuitive at first, the moment you try to apply it to Legora’s product, it breaks down. This is because Legora doesn’t just solve one use case in legal; it solves thousands. A data processing agreement review, a master service level agreement, a share purchase agreement, a loan agreement—should they all have a different price? And if so, how should that be done? “You just end up with too many permutations for an outcome-based pricing model to make any sense,” says Max.

The shift to consumption-based pricing was the answer, and it became one of the most operationally complex decisions Legora has made. The pricing decision touched every function in the company and required a dedicated sponsor to own the project end to end. But before any pricing conversation could begin with enterprise customers, Legora had to earn the right to be in the room. The team had to make a deliberate decision to turn enterprise procurement into their strength rather than a challenge before talking numbers.

Selling a partnership from first pitch to full deployment

“Almost nobody had a sales background,” Max recalls.

“Almost nobody had a sales background,” Max recalls. “I don’t have a sales background. I’m an engineer.” The early team at Legora were problem solvers, people trained to walk into a client environment, understand what was broken, and figure out how to fix it. That profile was just what legal teams needed.

The pitch itself reflected whoever was making it. Legora was selling a relationship based on shaping what AI was going to look like for the customer. Max was also frank with early clients: “The product that you are buying now might very well not be the product that you have two years from now.”

Max ran sales himself from the beginning, closing Legora’s first customers on sheer conviction before the product had earned it on its own. During time at Y Combinator, the company went from $50,000 to nearly $1 million in ARR, driven almost entirely by founder-led selling. The wall came when Max’s sales role became more like a customer success manager and his calendar was at capacity.

“One of my biggest onboardings was like 350 people, the entire firm,” Max recalled. It was at this point, the motion needed to scale beyond what one person could handle. But Legora’s first sales manager wasn’t a conventional sales hire. Leonard “Leo” Schreij was an ex-founder who had just sold his company for $50 million. When Max approached him, Leo’s first instinct was to offer introductions, but Max politely declined: “No, I want you.”

Max’s hiring intuition to go after the person rather than the archetype is what led Legora to build its Legal Engineers. These are tech-savvy, entrepreneurial lawyers who previously had just two career options: make partner at a law firm, or go in-house. Legora created a third path where they earn equity, a dynamic environment, the chance to work alongside engineers and marketers, and client relationships with real ownership. As Max describes it, they come in early in their careers and get to operate like a law firm partner, managing relationships, working on real problems, and driving adoption practice area by practice area from initial demo to full deployment. These people didn’t need to be taught about legal work. They already had the knowledge and ability to sit down with an M&A team and speak their language—something no traditional sales hire could replicate.

Legora’s product push philosophy

An early philosophy Max had was that distribution had to be treated as equal to the technology. But equal didn’t mean simultaneous. Before Legora could push hard commercially, the product had to be ready to hold up. “I think we were maybe patient enough to know that we had to get the product right before we really started to push,” says Max. Around their Series A, Max and the team even took a months-long beat from onboarding new customers to regroup on the product. When the product was ready, the team always hit the ground running. That patience, applied at the right moment, protected what Legora had built and laid the foundation for everything that followed.

Building vertical solutions for an agentic world

In their conversation, Max and Sameer reflect on lessons for builders in vertical industries. There is “this wave building up behind you, coming pretty fast,” Max describes. “Like a tsunami,” Sameer says without missing a beat. And Legora has remained ahead of the curve. For what’s next, Max envisions agents and software will handle a significant amount of legal work, so now Legora is focusing on where that agentic work will happen, and who owns the infrastructure to make it possible.

“There’s this element of human and machine intelligence that both have to live together and collaborate to deliver outcomes,” Max says. “The operating system becomes the place where that work happens. Legora, in effect, becomes the place where legal work happens. And when you can do the work and manage the work, we very clearly become a very value-generative part of the legal function in an enterprise.”

That positioning—not a tool, but the infrastructure—is what separates Legora’s ambition from a regular product roadmap. It’s a bet that the legal function, inside both law firms and enterprises, will increasingly be organized around a single operating layer. Legora is building to own that layer. For other founders, Max’s advice is blunt:

Be honest with yourself about what you’re building that a general-purpose model won’t eventually subsume. “You need to be quite clear and honest to yourself about answering: What are we building that won’t automatically fall into the bucket of ‘Claude does this’?”

“If your core thing is a chat UI, you have to really think deeply about what you do differently,” claims Max. The blue ocean is still there, but the window for building something genuinely different is narrowing, and the companies that survive will be the ones that ran when they had the chance.

About Legora

Legora is the agentic operating system for legal work, supporting lawyers in research, review, and drafting across complex matters. It is used by more than 100,000 legal professionals at more than 1,800 leading law firms and in-house legal teams across over 50 markets.