GitLaw launches AI agent to end legal barriers for UK startups

Legal complexity is one of the biggest hidden barriers to growth for UK startups and SMEs. GitLaw, founded by UK entrepreneur Nick Holzherr, has raised a $3 million pre-seed round to power the launch of its agent – part of GitLaw’s platform built for startups and small businesses, not law firms – that helps teams draft, review, and negotiate contracts in minutes, for free.

Unlike generic AI tools, GitLaw’s agent is powered by a library of more than 1,000 lawyer-approved templates contributed and vetted by verified legal experts across the US and UK. This ensures that every document is grounded in trusted legal standards, not generic AI outputs.

The $3 million pre-seed round was led by Jackson Square Ventures, with participation from Flex Capital, Background Capital, and several angel investors. The funding has fuelled GitLaw’s product development and AI platform expansion across the US and UK.

Greg Gretsch, Founding Partner and Managing Director of Jackson Square Ventures, says: "The market for legal services is enormous and badly underserved, especially for startups and small businesses that can’t afford traditional legal help. GitLaw is tackling that gap with a product that’s as transformative as it is accessible.

“Nick has a rare combination of technical depth and market vision and we have no doubt he’ll drive GitLaw to be the go-to legal infrastructure for this part of the market."

With more than 5.6 million small businesses currently operating in the UK, access to affordable legal support is more important than ever – yet it often remains out of reach. Only 8% of small businesses have their own in-house legal counsel, and outsourcing that expertise can cost UK startups upwards of £6,000 in its first year on contracts, policies, and risk management paperwork. GitLaw’s goal is to automate 80–90% of that work, significantly reducing this cost for startups and small businesses, while preserving high accuracy and security.

Making legal automation accessible

While many founders are turning to tools like ChatGPT to review or generate contracts, Holzherr warns that this approach is risky. “Generic AI tools speak with extreme confidence but their answers often have serious flaws,” says Holzherr. “For example, some only read a fraction of a contract, but still claim to have read it all. I’ve been really surprised at how lazy some of the tools are, probably because they’re trying to save tokens (their cost), and that’s dangerous when legal precision matters.”

GitLaw takes a more rigorous approach. Its agent orchestrates multiple AI models and workflows behind the scenes, mirroring how a human lawyer would handle a task – comprehensively and methodically.

Built on a foundation of lawyer-vetted templates, it enables startups to instantly draft, redline, and review agreements – from NDAs and SaaS contracts to investor terms – delivering ready-to-use contracts in minutes. It can also instantly review or compare incoming agreements against trusted legal standards.

Democratising legal and empowering founders

Using GitLaw’s expanding library of lawyer-approved templates, covering essential documents such as NDAs, contractor agreements, shareholder terms, and SaaS licences, the agent combines professional-grade accuracy with the speed of AI.

“When I founded my first startup, I was shocked by our first legal bills,” says Holzherr. “We were spending thousands on contracts before we had an income. It made me realise how stacked the system is against small teams.

“Legal work shouldn’t take six weeks for a three-day project, and businesses shouldn’t have to choose between moving fast and staying legally safe. GitLaw is my way of fixing that, helping founders get professional-quality contracts instantly without needing a big budget.”

Built for businesses rather than law firms, GitLaw delivers tools to help users prepare agreements efficiently with minimal micromanagement or prior legal knowledge, so founders and teams can get on with business, not legal busywork.

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