Orbital

What it is

Orbital is an AI platform built only for real estate legal work. Law firms, in-house real estate teams, and title companies use it for title and survey review, lease abstraction, diligence reporting, and first drafts of the documents that come out of that review. It was called Orbital Witness until it rebranded to Orbital, and the older product names (Orbital Copilot, Orbital Witness, Orbital Residential) still appear as logins on the site.

The difference from a general legal AI assistant is the document set and the map. Orbital ships 40+ prebuilt workflows for title commitments, ALTA surveys, leases and amendments, CC&Rs, reciprocal easement agreements, purchase and sale agreements, loan documents, and entitlements. Every finding links back to its source page. The Property Visualizer plots legal descriptions, easements, and boundaries onto the parcel and layers tax parcel, flood, and EPA records over them, which is the part a text-only model cannot do. Since October 2025, AI Drafts turns a completed title and survey review into an issues list, a title objection letter, and a title and survey memo, each with citations and exported to Word for your firm’s templates. It connects to iManage and NetDocuments.

The company was founded in London in 2018 by Will Pearce (CEO) and Edmond Boulle, came out of Mishcon de Reya’s MDR Lab, and started out analysing satellite imagery before moving to generative AI in 2023. On 26 January 2026 it announced a $60M Series B led by Brighton Park Capital, with REV (the venture arm of RELX, which owns LexisNexis), The LegalTech Fund, Moderne Ventures, and Grosvenor Group joining JLL Spark, Outward, and Seedcamp. Total funding is $75M. It opened a New York office in 2025 and says it will double headcount.

Why it shows up in Legal Ops stacks

• It answers “do we force Harvey into real estate?” General assistants read documents; they do not know what a Schedule B-II exception is or where an easement sits on the parcel. BCLP’s innovation director said the deciding factor was “that domain-specific model”, quoted on Orbital’s site.
• The customer list is real estate practice groups. Named users include Clifford Chance, Slaughter and May, BCLP, Goodwin, Vinson & Elkins, Seyfarth Shaw, DLA Piper, Orrick, and A&O Shearman, plus title insurers such as Stewart Title. The company reports 5,000+ property professionals on the platform and 200,000 US and UK transactions supported in 2025.
• It covers the deliverable, not only the review. Going from checklist to objection letter in one tool removes the copy-paste step that eats associate hours after the reading is done.
• It stands behind its output in the UK. In June 2024 it arranged AI reliance insurance, underwritten by First Title, for law firms using its residential conveyancing product. No equivalent cover is published for the US commercial product.

The headline speed claim is a “70% average reduction in review time reported by Orbital customers”. That is a vendor figure, not an audited one.

Pricing reality

There is no public price. Orbital sells through a demo, publishes no rate card, and has no listing on Capterra, G2, or Vendr with a price as of 22 September 2026. We found no credible third-party figure, so we will not print one.

What you can plan around: this is an annual enterprise contract scoped to a real estate practice group or title team, not a firm-wide seat licence. For context on our other pages, general legal AI runs about $3,000 per user per year at Legora entry list and around $14,400 per seat per year at Harvey. A specialist tool bought for 20 real estate lawyers should be judged against that per-seat cost, and against the associate hours it removes from each title package. Before signing, get three things in writing: the licence unit (named users, matters, or documents), whether the Property Visualizer data layers are included or add-ons, and a renewal cap. A company planning to double headcount on new capital will push price in year two.

Best for

Real estate partners, practice innovation leads, and legal ops managers at firms or in-house teams that close a steady flow of US or UK commercial property deals: acquisitions, financings, portfolio leasing. The fit is a team where title and survey review, lease abstracts, and objection letters take most of the associate time on each deal.

Not for you if real estate is an occasional practice area. A general assistant you already license will cover a few leases a quarter. Not for you if you need a public API or an MCP server to feed findings into your own systems; neither is published.

Alternatives, and when to pick them instead

• Harvey: the market-share leader in law-firm AI. Pick it when real estate is one practice among many and you want one assistant and one vendor across the firm.
• Legora: the fastest-growing challenger, and cheaper per seat. Pick it when you want tabular review across hundreds of leases at a general-assistant price and can build your own real estate review templates.
• Luminance or Kira Systems: pick one when the job is bulk extraction across a large lease portfolio in an M&A data room, and title and survey work is out of scope.
• Prophia or Visual Lease: pick one when the buyer is an asset manager or corporate real estate team that needs lease administration and portfolio reporting, not transaction diligence.

Watch-outs

• US depth is newer than UK depth. The company built its reputation on English conveyancing and only opened in New York in 2025. Guard: pilot on your own US title commitments and ALTA surveys from at least three states, and score its exception list against what your associate caught before any rollout.
• Source links make review faster, not optional. A cited finding still needs a lawyer to read the source, and a missed exception in a title objection letter carries malpractice risk. Guard: keep a partner sign-off step on every AI Draft, and track a missed-issue rate from the pilot onward.
• The insurance does not travel. The AI reliance policy covers the UK residential product. Guard: do not assume vendor cover in the US; confirm with your own carrier how AI-assisted review affects your professional liability policy.
• Security is stated, but model providers are not. The site lists SOC 2 Type 2, ISO 27001, SSO, and a no-training commitment. Guard: get the subprocessor list, the LLM providers, and data residency for US matters written into the DPA.