Wilson AI founder Gus Neate: Designing for Zero Cognitive Load
Wilson AI founder Gus Neate: Designing for Zero Cognitive Load
Words by Gus Neate Founders Factory
November 27th 2025 / 8 min read
When people think about innovation in legal tech, they often picture the kind of enterprise software, usually complete with complex dashboards and workflows, that needs a six-month onboarding plan just to get started. At Wilson AI, we take the opposite view; the more complex the system behind it, the simpler the interface should feel.
Wilson AI is an intelligent legal operations platform that helps businesses streamline their internal and external legal work. By using AI to review and redline contracts, extract key insights and answer recurring questions, Wilson AI enables legal teams to operate faster and more efficiently. The platform integrates seamlessly with company data and existing tools , automating repetitive tasks while maintaining oversight for the legal team. The result is a smarter, more efficient legal function, freeing up lawyers to focus on higher-value, strategic work.
That philosophy, designing for zero cognitive load, has shaped how we’ve built every part of our product. And it’s a lesson that applies far beyond legal tech. Whether you’re building in AI, fintech, or logistics, the hardest, and most valuable, thing you can do is take something deeply complex and make it feel effortless.
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Subscribe on SubstackSubscribe on LinkedinThe paradox of productivity tools
Before building Wilson, I qualified and worked as a lawyer. I’d seen first-hand how much time legal professionals spend buried in administrative work, redlining contracts, tracking terms in spreadsheets, and manually updating systems that were supposed to automate their job.
The irony was that most “productivity” tools didn’t save time. They just moved the complexity around.
I’ve met teams who spent an entire year implementing new contract management systems, only to discover that the time they’d lost setting it up outweighed the time they were meant to save. The software promised speed, but came with configuration fatigue built on new forms to fill out, new meta-tags to label, and new training materials.
It’s a trap that many of us as founders fall into too. We design tools that optimise processes but forget about people. True productivity is about removing friction as much as adding capability.
Wilson AI: A snapshot
Year founded: 2024
Joined Founders Factory: 2025 (backed by Aviva)
Employees: 6
Total raised: $1.8M
Key markets: Europe, US
Simplicity is the hardest thing to build
People often assume that “simple” design is built by a graphic designer in Figma. But behind every “one-click” experience you’ve ever used are a thousand decisions about what not to show the user.
My co-founder Alex, who leads design at Wilson, talks about simplicity as a constant act of restraint. You can’t just strip away features, you have to surface the right ones at the right time.
Our users aren’t pure tech enthusiasts, they’re lawyers. They don’t want to learn a new workflow. They want familiar systems that work with Microsoft Word, speed up reviewing contracts, and allow them to get on to strategic priorities . That’s what we built Wilson for. When you open Wilson, it feels as natural as using ChatGPT, except instead of writing poems or recipes, it’s identifying risky clauses, proposed tracked change redlines, and add explanatory comments in plain English.
Behind that simplicity is a mountain of agents, secure data handling, and guardrails that ensure every suggestion is traceable and grounded. But the user never sees all that complexity. If you’re a founder, I’d say that simplicity is expensive, but always worth it.
Cognitive load is the silent killer of adoption
Cognitive load is a term from psychology that describes the total mental effort used in working memory. In product terms, it’s the measure of how much thinking a user has to do to get value from your product. Too much, and they churn.
When we were early in development, we noticed something interesting. Legal teams didn’t resist AI because they feared it, they resisted it because it felt like work. Setting up, prompting, or verifying outputs took more effort than just doing the task manually. So we designed Wilson to get value from the first click. A lawyer uploads a document, and Wilson starts helping instantly, extracting key terms, flagging risks, suggesting changes, and showing exactly where each point came from in the source text.
That first moment, the “aha” of instant value, is crucial for any founder building a product in a complex industry.It doesn’t matter how powerful your backend is if it takes 20 minutes to explain. One of the biggest lessons I’ve learned is that usability isn’t just a design problem, it’s a growth strategy. Reducing cognitive load reduces time-to-value. And the faster users see value, the faster you grow.
Learning through feedback, not assumptions
Our product didn’t become simple by accident. It only became simple because we talked to our customers constantly.
We release new iterations every two to three days. I personally do five to ten customer calls a week. That might sound excessive, but it’s how we avoid building complexity that no one asked for.
We had one early user who told us, “Wilson is the first thing I log into every morning, you can’t take it away from me.” That’s how you know you’re building something sticky: when the product feels like an extension of someone’s workflow, not an interruption to it.
It’s easy to assume you know what your users want, especially if you’ve worked in the industry like I have. But every iteration, every redline, and every complaint we’ve heard has made the product cleaner.
Flow is the real design goal
When we talk about simplicity at Wilson, what we’re really aiming for is flow. Flow is the state where someone is completely absorbed in what they’re doing, not distracted by clicks, screens, or prompts.
Most software interrupts flow. It makes people jump between tools, reformat data, or double-check logic. We wanted to build something that disappears into the background, where the AI doesn’t feel like an app, but like a silent collaborator.
When Wilson redlines a contract, the experience mirrors the way a lawyer naturally works. Clauses are highlighted inline, comments appear in the margin, and every AI suggestion is backed by a citation to the exact sentence it came from.
You don’t have to learn a new workflow. You stay in yours. Zero cognitive load really means not simplicity for simplicity’s sake, but flow by design.
Make it invisible
I’ve always believed that the most powerful technology eventually becomes invisible. Electricity, WiFi, GPS; they just work. You don’t think about them anymore.
That’s what good AI will look like in the next few years, a 24/7 extra pair of hands that quietly improves how you work. We’re already seeing that shift. When users talk about Wilson now, they don’t describe it as “AI,” they describe it as “how I do contracts.” That’s the point.
If you’re building in any space where users rely on trust, process, or expertise, healthcare, finance, logistics, the same rule applies. Don’t make AI the headline. Make it the infrastructure.
Simplicity scales, complexity doesn’t
As founders, it’s tempting to think that adding more features equals progress. But every new toggle, dashboard, and configuration is another point of friction, another thing to explain.
The products that scale are the ones that simplify as they grow. The ones that require no manual, no walkthrough, no explanation, because they just work.
That’s the biggest lesson I’ve learned building Wilson: Complexity is inevitable. But it’s our job as founders to carry that complexity so our users don’t have to.
When you design for zero cognitive load, you’re not just making better UX, you’re building trust, speed, and adoption into your product’s DNA. And in any industry where trust is everything, that’s what really scales.
About Gus
Gus Neate is the founder of WilsonAI, a legal AI platform that removes bottlenecks for in house legal teams. He began his career as an engineer at Oxford, where he was awarded the Lefèvre scholarship, before qualifying as a private equity lawyer at Clifford Chance. Gus has co founded and exited a tutoring company and worked in product at a legal tech startup, giving him a rare blend of technical, commercial, and legal experience. After spending time inside three in house teams and seeing how much time is lost to repetitive legal work, he started WilsonAI to automate contract reviews, term extraction, and legal research, turning hours of work into minutes.
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