Orbital builds software that reads property paperwork - leases, titles, surveys, contracts - flags the risk, and drafts the report. The tedious 70% of legal diligence, handled in minutes.
Real estate is often called the largest asset class on earth. The law that governs it still moves at the speed of a filing cabinet. Orbital is the company betting that AI can change that.
Every property deal - a lease renewal, a warehouse sale, a portfolio refinance - drags a trail of documents behind it. Title reports, surveys, mortgages, decades-old handwritten deeds. Somewhere, a junior lawyer is reading all of it, line by line, so nothing nasty is missed. It is careful, expensive, slow work, and for years there was no real alternative to a human doing it by hand.
Orbital, founded in London in 2018 by Will Pearce and Edmond Boulle, started closer to the map than the contract - visualising property boundaries and data. Over six years it moved up the stack, from showing lawyers where a property sat to telling them what its paperwork actually said. The result is Orbital Copilot, an AI agent built specifically for real estate law that reviews complex documents, answers questions with source citations, and drafts the first version of a report the way a property lawyer would.
The pitch is narrow on purpose. Orbital's Copilot does not try to be a general legal brain. It knows real estate - and that focus is what has convinced some of the most conservative buyers in the profession to let it near their diligence.
Real estate law remains slow, fragmented and largely manual. Orbital is changing that with AI purpose-built for real estate.
Orbital Copilot ingests the messy reality of property files - clean PDFs, blurry scans, handwritten margins - and turns them into structured, searchable analysis. It extracts key provisions, follows information trails across multiple documents, flags risk, and produces first-draft reports and even first-draft leases and closing packages from agreed terms.
Crucially for a profession that cannot afford to guess, every answer comes with a source citation and transparent reasoning, so a lawyer can check the machine's work in seconds.
More than 5,000 professionals across leading law firms and corporates rely on Orbital, supporting roughly 200,000 residential and commercial transactions a year. Named clients span Magic Circle and AM Law 100 firms.
A B2B SaaS platform sold by seat to law firms, in-house teams, developers, title companies and REITs.
A real estate domain-specific AI agent that reviews titles, leases, surveys, mortgages and contracts, flags risk, and drafts reports with transparent citations.
The cloud platform for property diligence - aggregating and visualising property data, legal risk, interactive site plans and boundary mapping.
A version tailored for American attorneys, handling US title, survey and lease workflows as part of the company's stateside expansion.
Applying the same AI to residential real estate transactions alongside Orbital's commercial offering.
Orbital reports its impact not in features shipped but in minutes returned to lawyers. Illustrative figures the company has cited publicly.
General legal AI tools such as Harvey, Luminance, Robin AI and Legora aim wide. Orbital aims deep.
Where broad platforms promise to help with any legal document, Orbital limits itself to one domain and goes as far into it as possible. That specialisation shows up in the details lawyers care about: how it handles a historic handwritten deed, how it reasons across a stack of related property documents, how it cites the exact clause behind a flagged risk. The company also names its product Copilot, not Autopilot - a deliberate signal that it is built to speed up expert judgment, not to sign off on risk in a lawyer's place.
Its cap table reinforces the strategy. Investors include RELX's venture arm REV (owner of LexisNexis), property group Grosvenor and real estate services giant JLL - firms that are also customers or operate directly in the market Orbital serves. When your backers are your buyers and their landlords, you are less a vendor and more a piece of the industry's plumbing.
Roughly $75M raised since 2018, with each round widening Orbital's foothold in the property legal ecosystem.
Orbital is targeting a critical gap in legal AI, which positions them to define a new category.
How Orbital climbed from property visualisation to autonomous legal diligence.
Will Pearce and Edmond Boulle launch in London to modernise property diligence.
Seedcamp and LocalGlobe back the property data platform.
Parker89 leads a round to automate paperwork-heavy diligence.
A domain-specific AI agent ships; BCLP partnership follows.
New York office opens; a US Copilot arrives for American attorneys.
Brighton Park Capital leads; total funding nears $75M.
Bryan Cave Leighton Paisner runs a global real estate AI partnership using Copilot to optimise transatlantic commercial lease reporting.
Orbital builds on Azure OpenAI (GPT-4 class models) to power its document-analysis agent - featured as a Microsoft customer story.
RELX's venture arm REV joined the Series B, connecting Orbital to the LexisNexis legal information ecosystem.
Property heavyweights JLL (via JLL Spark) and Grosvenor are both investors and rooted in Orbital's market.
Interviews and product context from Orbital and its founders.
Orbital builds AI software that automates real estate legal work. Its Orbital Copilot agent reviews property documents like leases, titles and surveys, flags risk and drafts reports for lawyers and property professionals.
Orbital (originally Orbital Witness) was founded in 2018 in London by Will Pearce, who serves as CEO, and Edmond Boulle.
About $75M in total, including a $4M seed, a £7.5M Series A in 2023, and a $60M Series B in January 2026 led by Brighton Park Capital.
Over 5,000 property and legal professionals, including firms like Clifford Chance, Slaughter & May, Mishcon de Reya and BCLP, supporting around 200,000 real estate transactions a year.
Orbital is purpose-built for real estate law rather than general legal work, giving its AI deep domain expertise and transparent, citation-backed answers tailored to property documents.