Picture an attorney. For most people, the scene in their head is big law: a corner office, city skyline, big-firm logo behind reception. But the reality is different. Every year, millions of Americans draft a will, go through a divorce, or experience a serious injury. And when they do, they turn to a main-street lawyer, not a corporate firm. These are the lawyers handling the everyday moments that shape people's lives. They do it while running the whole firm: from the casework right down to the business itself. Corporate law gets the attention. But it’s main street law that makes the biggest impact.
Lawhive
Law Practice
The AI-native law firm making everyday legal services fairer, transparent and more accessible.
About us
Lawhive is an AI-native consumer law firm transforming how legal services are delivered. We combine experienced lawyers with our proprietary AI operating system to reduce cost, complexity and delay in everyday legal matters - from family law and housing disputes to property, employment and consumer rights. Built to serve both consumers and lawyers, Lawhive helps people access high-quality legal support with greater ease and transparency and while enabling lawyers to scale their practices without being held back by manual processes or legacy systems. Our platform automates core workflows such as client intake, document drafting, research, case management and payments, supported by Lawrence - our AI paralegal working alongside legal teams. In 2026, Lawhive raised $60m in Series B funding, led by Mitch Rales, with participation from GV, Balderton Capital, TQ Ventures & more. The funding is accelerating our growth and the continued development of our AI operating system for consumer law. Founded in the UK and now operating across the US and UK, Lawhive supports tens of thousands of clients each year and powers a growing network of 750+ lawyers delivering modern, efficient consumer law at scale. Join us If you’re a lawyer, learn more and join Lawhive here: 👉 www.lawhive.co.uk/work-with-us For engineering, AI, product, operations and sales roles, apply here: 👉 www.lawhive.co.uk/careers
- Website
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https://lawhive.co.uk
External link for Lawhive
- Industry
- Law Practice
- Company size
- 51-200 employees
- Headquarters
- London
- Type
- Privately Held
- Founded
- 2021
- Specialties
- landlord, Employment Law, Litigation, Will Writing, Civil Disputes, Commercial & Corporate Law, Tenant, Commercial Property, Legal Tech, SaaS, and Family Solicitor
Locations
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Primary
Get directions
London, GB
Employees at Lawhive
Updates
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A few months ago, we ran our first Lawhive Hackathon: 80 builders, six hours, working on real legal AI problems, from intake to document review. Here's what came out of it.
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24 people joined Lawhive in July, across our New York, Austin, and London offices. That's a BIG number for one month: engineers, marketers, and operators who each saw what we're building and wanted to be part of it. A warm welcome to all of our new joiners!
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Lawhive was the world’s first AI-native law firm: lawyers and back office staff working alongside AI agents, on real cases, every day. Starting a firm instead of selling software means we understand what AI actually changes about the business and practice of law, beyond reducing the busywork around the edges. That understanding is exactly what we bring to the firms we partner with, helping them scale and go further. Our founder Pierre Proner goes deeper on this with TQ Ventures. Full conversation in the comments.
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A big welcome to Jesse Hamilton, who's joined Lawhive as Head of M&A. He's one of a small number of people who've actually built legal MSOs through acquisition, with several years of experience doing exactly that. Now he's doing it at Lawhive. We're partnering with main-street law firms across the US, and Jesse will lead how we build those partnerships. Welcome, Jesse. Great to have you on the team.
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The future of legal services will be defined by new operating models, not just by new tools. In the latest episode of The Study by TQ Ventures, our co-founder and CEO Pierre Proner speaks with Schuster Tanger about why we chose not to sell software to law firms, and instead built an AI-native law firm. At Lawhive, that means combining regulated law firms, human lawyers, and the Lawhive agentic operating system to transform how legal work is accessed, delivered and scaled. The conversation also explores one of our core beliefs: that AI will create more opportunity for lawyers, not less. Thank you to Schuster and the TQ Ventures team for the conversation. Watch the full conversation in the comments.
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Lawhive reposted this
Most founders think about acquisitions as a way to grow. For Lawhive co-founder and CEO Pierre Proner, they're a way to distribute software. Lawhive isn't buying law firms to consolidate a fragmented market. It's building an AI-native legal platform by partnering with firms and deploying its operating system. The stakes are real: when the world's largest law firm, Kirkland & Ellis, announced plans to invest hundreds of millions of dollars building proprietary AI systems, it was a reminder that the future won't belong to firms simply using the same off-the-shelf tools as everyone else. In this second episode of The Study, we discuss why Lawhive walked away from the traditional SaaS playbook, how AI changes the economics of roll-ups, and why owning distribution could become the defining advantages of legal AI. Full conversation with Pierre in the comments.
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Building an AI-native product is one thing. Building an AI-native law firm is another. As agentic AI continues to improve, we're spending a lot of time thinking about how we can evolve the way we work, not just the products we build. This is a great example of that in practice. Rather than creating bottlenecks, Max Marroni has built systems that allow teams across Lawhive to safely build, experiment and automate for themselves, while maintaining quality and consistency. The result is that more people can solve problems, move faster and spend time on higher-value work. The most exciting part of AI isn't replacing people, it's giving talented people the tools to have a much bigger impact. Great work, Max.
This month I launched the Claude Skill that replaces me. A couple of months ago, I was wrestling with the problem of what to do now Claude can do most of the technical part of my job. Non-technical people were starting to want to use n8n to build their own automations, but with no guardrails in place we faced an onslaught of slop. The solution I settled on wasn't to lock everything down, but to build a Claude Skill to empower people to build things in the right way. With the system I’ve crafted in the Skill, Claude acts like a senior engineer rather than just saying ‘yes’ to everything: • it asks questions to learn about the user’s operational process, • suggests the best solution to improve that process (which is actually often not to use n8n), • builds it directly in n8n, using best practices like avoiding silent failures, • tests it thoroughly, • documents the workflow in a Notion database. Now every team at Lawhive can build their own automations, so we can build much more than what I could do alone. But thanks to the Skill, the quality remains high and we avoid the slop. My job now shifts to helping people build the hard stuff, and managing the system to ensure we stay ahead as Claude continues to grow in capability. An explicit part of the plan is that we’re probably going to have to change the whole plan by the end of the year!
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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.
Grow your law firm
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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.
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