Lawhive

Nearly a year ago, Lawhive did something that had never been done before. An AI-native law firm acquired a traditional bricks-and-mortar one. Woodstock Legal Services joined the family, and what followed has been one of the most exciting years in our history. We could fill this post with words like "transformative". Instead, we'll let the numbers do the talking. And the numbers are extraordinary. If you're ready to write your law firm's next chapter, get in touch. We'd love to chat.

In a room full of ambitious builds at our Hackathon last Saturday, two that stuck with us were ones that knew exactly what they were doing and why. 🏅Honourable Mention for Novel AI Application: CaseReady Darshan Chheda and Daniel Jiang An AI legal intake pipeline that turns messy human narratives into verified, element-scored case briefs, with a deterministic rules engine underneath. The stack: Next.js, TypeScript, FastAPI with SSE streaming, LangGraph, Claude 4.5/4.6, Voyage AI voyage-law-2 embeddings, Qdrant Cloud hybrid dense/sparse search. Production-grade from frontend to retrieval layer. But the stack wasn't the point, the thinking behind it was. Good legal AI can't be purely probabilistic. Some things need to be deterministic. Darshan and Daniel understood that distinction deeply enough to build for it, and that's rarer than the tech. 🏅Honourable Mention for Product Execution: Recourse Abhishek Bhaduri, Tim Hill, Sudhir B., and Shreyangshi Gupta Tells you where you stand on a contract. That's it. No feature bloat, no over-engineered demo. Just a clean, focused tool a real person could pick up and use today. Knowing what to leave out is a skill. In six hours, Recourse had it. The future of AI-native law won't be built by people who can prompt well. It'll be built by people who care enough about the problem to get it right.

On Saturday, 80 builders packed into Lawhive HQ London for one reason: access to justice. We handed them five briefs. They handed back 24 working products. The most popular was our open brief, and the teams ran with it. One built a legal AI designed to argue against you, on the theory that the tool that shows you how you'll lose is the one that actually keeps you safe. Another built a full Lawhive MCP data layer so people can get legal help wherever they already are, whether that's a DM, Whatsapp, or even ChatGPT. The second most popular was what we called Case in a Box: make getting legal help feel as simple as booking a taxi. It also produced some of the highest quality submissions overall. First place went to Tribunal Navigator, which trained employment tribunal judge agents on over 12,000 real cases. Not a chatbot hazarding a guess, an actual verdict. The themes that kept surfacing: intake and triage, document comprehension, employment disputes. The moments where people are most lost, and where AI has moved furthest, fastest. The teams that stood out didn't start with a cool technology. They started with a specific problem and situation in mind. That's the thinking that's going to change this industry.

We were at SXSW London today for Sifted's Top 100 European Consumer Tech Startups reveal, and Lawhive made the list! Beyond our pride at being featured, it was genuinely interesting to see how the companies were assessed across three criteria: • Reach: how widely adopted the product is • Habit: how deeply embedded it becomes in people's lives • Buzz: the cultural momentum surrounding the brand The best consumer companies aren't just building products. They're changing entire industries. There was one stat that really stuck with us, though. Of the 100 companies on the list, only seven are AI companies. And as an AI-native law firm, Lawhive is one of them. We’re building in law, an industry with a history of outdated systems and processes, and we’re using AI to change the practice of law and improve the experience for both lawyers and clients. Huge congrats to all 100 companies featured. Hearing from founders and operators building the next generation of European consumer brands is our favorite way to spend a Wednesday! #SXSWLondon #Sifted100 #ConsumerTech #AI #LegalTech #Startups #Innovation

After receiving over 400 applications, this Saturday, we brought together 80 builders to recode the law at the Lawhive Hackathon. This wasn’t your typical hackathon crowd. This was a room of engineers, designers, lawyers, founders, product managers and more. The challenge? How can we use agentic AI to make the law more accessible to the millions of people who don’t know where to start, what action to take, or simply can’t afford it. Most of the teams were formed on the day, lawyers teaming up with engineers and PMs. And within minutes of finishing the kick-off meeting, almost every desk and table was covered in laptops and notebooks. The office felt electric. Lawhive mentors were being pulled into rooms. Lawhive founders chatted through ideas with teams in one corner, while a first-build demo was being shown in another. The buzz was undeniable. It might have been a competition, but what we saw was far more collaborative. Every team wanted to win, but participants shared ideas openly and helped advance each other's work. And after a six-hour build, they presented their demos. Not concepts. Not ideas. But systems that already worked. Every single demo that was presented was exceptional, but it wouldn’t be a hackathon without winners. A HUGE congratulations to the teams who presented these creative, innovative and out-of-the-box ideas: 🥇1st Place  Team Members: Shynggys Kassen, Quan Narula, Bilal Mustafa Sheikh Project: Tribunal Navigator; built with data from over 12,000 actual cases, Tribunal Navigator debates your dispute and delivers a certifiable verdict - a huge step up from a chatbot’s guesstimate. Prize: £5,000 🥈2nd Place Team Members: Foo Ming Li, Deekshitha Swarna, Johnathan Kwok, Dheer Maheshwari Project: The Lawfice; a super creative mashup of The Sims and The Office, Lawfice is a fully rendered isometric legal office that processes claims in real-time and provides next-step guidance from agents named after employees of Scranton’s favorite fictional paper company.  Prize: £2,500 🥉3rd Place Team Members: Maria Monge-Navarro, Jonah Ramponi, Charity Huang Project: Lawren; A conversational agent that makes getting initial legal advice accessible and allows lawyers to easily review a matter once it progresses.  Prize: £1,000 If the ideas we saw on Saturday are any indication, the future of AI native law is very bright. A huge thank you to everyone who built, mentored, and judged on the day, and to our sponsors Anthropic, Google Cloud, Google Gemini, GV (Google Ventures), and Balderton for making the day possible. We can’t wait to start planning the next one!

📈 More than 5,000 lawyers now work at UK platform firms, with the consultancy fee-share model increasingly attracting lawyers from established firms - including top 50 and US law firms. Setfords remains the largest platform operator with 653 lawyers, followed by Keystone Law with 586. New AI-powered entrant Lawhive is the fastest-growing. The analysis from legal analytics company Codex Edge. More here: https://lnkd.in/eQ4tEHVE

It’s official: according to the latest Codex Edge firm growth report, Lawhive is the fastest growing law firm in the UK, measured by lawyer recruitment 📈 🚀 Last year we recruited 240 lawyers, reaching 421 lawyers working through our AI native law firm and our legal operating system. Lawhive breaks the dominance of the “big four” platform firms, creating a “big five”. This is validation of the AI native model - we’re building the future of law.

Is there a way to reduce non-billable hours AND have a positive impact on both lawyers and clients? Our CEO & co-founder, Pierre Proner, recently appeared on the Non-Billable podcast to discuss how the tech we’re building significantly reduces non-billable work, almost tripling the throughput of individual lawyers - increasing their earnings while simultaneously lowering the cost of entry for clients. To find out more about our US expansion, our business model, and why we decided to stop selling software and become an AI-native law firm ourselves, check out the full episode in the comments below.

One week to go. The first-ever Lawhive Hackathon is almost here. Judges from Google Cloud, GV (Google Ventures) and Balderton. Engineers, builders, and lawyers. All in one room, with one question: what does it look like to recode the law? If you’re already on the list, we can’t wait to see you at Lawhive HQ on the 30th. And if you’re not, there’s still time to get involved. Apply via the link in the comments below.

When you store 10x more data than Wikipedia, having a team analyze and action lawyer feedback can take - and we write this without a shred of hyperbole - years. But when your mission is to redefine the legal industry, you need to move a hell of a lot faster than that - which is why Scott Matthews, our Senior AI Research Engineer, got to work on how to turn those years into days. He built an agentic system that identified improvement areas, proposed fixes, and learned from its successes and its failures. The result? Our AI legal assistant, Lawrence, saw an almost 100% increase in accuracy in just 6 weeks. To many companies, this would be a crowning achievement which would define their year. At Lawhive, we call it Tuesday. That’s what it means to be the world’s first AI-native law firm. Find out how Scott and the team brought this vision to life via the link below. https://lnkd.in/evhdD3b4