Real estate is the world’s biggest asset class (valued at $140T!), but its legal side is still stuck in the past. Orbital is on a mission to change that by building AI tailored to real estate law, combining document automation, spatial mapping, and property data to speed up deals and eliminate costly mistakes.
The company just raised a $60 million Series B led by Brighton Park Capital, bringing total funding to $75 million. Other backers include REV (RELX’s VC arm), JLL Spark, Seedcamp, and Grosvenor.
This fresh capital is fueling Orbital’s US expansion, right after its New York office launch last year.
Making every real estate deal faster, cheaper, and more reliable
Co-founders Will Pearce and Ed Boulle launched Orbital in 2018 to drag real estate law into the digital age.
Pearce shares with TFN, “We actually started in 2018, working with satellite imagery and real estate data before the LLM boom. But as we developed our AI capabilities, we started looking at where they could have the most impact. That led us to real estate legal work. Real estate is the world’s largest asset class, but the legal work underpinning it was stuck in the past. Lawyers spend days combing through hundreds of pages, trawling for specific risks. It’s unprofitable for firms, expensive for clients, and frankly inefficient for everyone involved.”
He continues, “What struck us was that real estate isn’t just about legal text. It’s spatial, location-based, tied to old maps and local jurisdictions. You’re connecting fragmented documents, maps, and historical deeds to the property’s actual reality, giving lawyers a complete view of risk on the page and on the ground. These workflows require years of training to understand, and we had both the AI capability and people with real estate legal backgrounds who knew these nuances firsthand. The technology existed, it just hadn’t been properly applied to something this complex and traditional.”
Orbital’s AI is purpose-built for real estate, trained on legal docs and location data. Core features include automated contract review (with linked docs), interactive property maps, and visual dashboards that flag risks in seconds. This includes high accuracy in UK and US title issues, collaboration tools for multiple stakeholders, and easy integration with existing title and REIT workflows.
Pearce elaborates, “Our models have been trained and tested by people who’ve actually practised real estate law. Many of our team are former real estate lawyers, and that’s not incidental; it’s central to why our technology works. “
Unlike broad legal AI like Harvey or Casetext (now Thomson Reuters), Orbital is laser-focused on real estate.
What’s next?
This round will help Orbital expand across the real estate ecosystem and double down on building a single, secure workspace for legal work across the entire asset lifecycle.
Pearce concludes, “Beyond the expansion, it’s about connecting the ecosystem. Real estate transactions don’t happen in isolation; they involve law firms, title companies, brokers, surveyors, and lenders, all working off fragmented information. We’re building to bring those parties together, so the ecosystem functions as it should rather than in disconnected silos.”
TFN contacted Orbital for comment regarding diversity and inclusion; no response was received at the time of publication.
