Key Takeaways
- Orbital has raised a $60 million Series B round led by Brighton Park Capital, bringing total funding to $75 million to date.
- The AI platform already supports approximately 200,000 real estate transactions annually for more than 5,000 property professionals across the US and the UK.
- Orbital targets a roughly $140 billion opportunity to modernise the legal backbone of the world’s largest asset class: real estate.
- New capital will fund US expansion, headcount doubling, and product R&D for a single AI workspace spanning the full real estate asset lifecycle.
Quick Recap
Orbital, a New York- and London-based AI platform for real estate law, has closed a $60 million Series B funding round led by New York growth investor Brighton Park Capital, with participation from strategic backers including REV (RELX/LexisNexis), The LegalTech Fund, Moderne Ventures and Grosvenor. The company announced the round via its official blog and a companion release from Brighton Park, positioning the raise as fuel to accelerate US expansion and deepen its UK market lead in real estate legal AI.
What Leadership Is Saying?
“Real estate is, by far, the world’s largest asset class. Yet the legal work that underpins it remains slow, fragmented and largely manual: opaque work that in many cases hasn’t meaningfully changed since the 19th century. Orbital is changing that with AI purpose-built for real estate, making transactions more transparent and reliable for all parties.” – CEO and co-founder of Orbital
“We recognized immediately that Orbital is targeting a critical gap in the legal AI sector. Real estate law is one of the most complex legal markets globally, yet it has remained dramatically under-automated. Orbital’s focus on accuracy, real estate domain expertise, and real-world workflows positions them to define a new category in legal automation.” – Lead investor Brighton Park Capital
Inside the $60M Round — Investors, Product and Expansion Plans
Brighton Park Capital is anchoring the Series B, joined by strategic legal and real estate players, including REV, the venture arm of RELX (owner of LexisNexis Legal & Professional), The LegalTech Fund, Moderne Ventures, and Grosvenor Group, with continued support from JLL Spark, Outward, and Seedcamp. The syndicate blends growth equity, legal information incumbents and property operators, signaling confidence that real estate law merits its own AI infrastructure rather than generic tools. Orbital’s total funding now stands at $75 million since its 2018 founding.
Orbital’s platform combines legal AI tuned specifically to real estate with spatial visualization, mapping and rich property data to automate title review, survey analysis, lease abstraction and related due diligence. Products such as Orbital Copilot promise up to 70% time savings on complex real estate reviews by plotting legal descriptions on maps, extracting key provisions from deeds and leases, and drafting attorney-ready outputs like title objection letters and survey memos. In 2025, the company supported approximately 200,000 transactions across the US and UK, serving hundreds of law firms (including Am Law 100 and Magic Circle firms), in-house teams, developers, title companies and REITs
Proceeds will fund an aggressive US build‑out in addition to Orbital’s 2025 New York office opening, with plans to double headcount and establish additional hubs. On the product side, the company is investing in a “single, secure workspace” that unifies real estate legal workflows across the asset lifecycle from acquisition and financing through development, leasing and disposition while embedding increasingly agentic AI capabilities under the hood.
Why Specialist Legal AI for Real Estate Matters Now?
Orbital’s raise lands at the intersection of two converging macro trends: the verticalization of legal AI and pressure to de-risk real estate transactions at a more cautious pace, amid a credit-constrained environment. While generalist legal AI platforms pursue broad contract review and litigation use cases, real estate law remains unusually complex, location-based, jurisdiction-specific, deeply historical, and inherently visual, making it a poor fit for one‑size‑fits‑all tools.
Orbital is not alone in seeing opportunity in property-related legal automation: startups such as Dono, which focuses on title verification, and other property-intelligence platforms are also leveraging AI to streamline registry data and ownership records. However, Orbital’s early lead in blue‑chip real estate practices, along with strategic backing from LexisNexis-linked capital, gives it a differentiated position as a workflow-native system of record rather than just another point solution.
Competitive Landscape
As specialist real estate legal AI takes shape, Orbital’s closest peers are not giant foundation-model providers but vertical platforms that apply AI to property records and title workflows. Two relevant comparables are Dono (AI-powered homeownership and title verification) and JurisDeed (AI-driven title/ownership intelligence and compliance for distressed property investors).
| Feature/Metric | Orbital | Dono | JurisDeed |
| Primary focus | AI workspace for real estate law: title, survey, lease and property due diligence for lawyers and institutional property professionals. | AI-powered property records and homeownership verification for title professionals, investors and builders. | AI-powered platform for clearing title, confirming ownership and automating legal compliance in distressed property and tax lien investing. |
| Context Window | Built on top of frontier LLMs and proprietary models; effective context window not publicly disclosed. | Uses LLMs and ML for document extraction and Q&A; specific token/context limits not publicly disclosed. | Uses AI for compliance workflows and analytics; underlying model context window not publicly disclosed. |
| Pricing per 1M Tokens | Enterprise and contract-based; no public per‑token or per‑million‑token pricing available. | Enterprise/usage-based solutions; pricing published per engagement, not per million tokens; no token metrics disclosed. | Subscription and service fees (e.g., monthly platform tiers); pricing framed per account and services, not per token; no per‑token rates published. |
| Multimodal Support | Natively combines legal text with spatial maps, parcel visualizations and real estate data layers. | Processes large volumes of title and property records, indexing structured and unstructured documents; primarily text and tabular data. | Focuses on legal and property data, notices and records for compliance; mainly text and structured datasets. |
| Agentic Capabilities | Orchestrates end‑to‑end workflows (document categorization, analysis, drafting of reports and objections) with growing use of agentic AI pipelines. | Automates data collection, extraction, underwriting rules and report generation across the title workflow, behaving like an AI co‑pilot. | “Compliance autopilot” for multi‑step legal and regulatory tasks across states, plus automated portfolio management for investors. |
| Core users & markets | Real estate lawyers, conveyancers, institutional owners and title players across US and UK. | US-focused title companies, investors and developers concerned with ownership verification at scale. | US investors and funds active in delinquent property debt and distressed assets; nationwide tax lien markets. |
Orbital stands out on depth of legal workflow coverage and tight integration of maps and property data, making it the most compelling option for law firms and institutional real estate operators. Dono and JurisDeed, by contrast, are better positioned for narrower title and distressed-debt use cases, offering strong automation but a more focused slice of the broader real estate legal value chain.
TechViral’s Takeaway
In my experience, this kind of vertically focused raise is a strong bullish signal for both legal AI and proptech, because it shows investors are backing deep, workflow-native products rather than generic “AI for everything” platforms. I think this is a big deal because Orbital is already embedded in high‑stakes real estate deals, and $60 million of fresh capital, plus LexisNexis-linked and sector-specialist investors, gives it the runway to establish itself as critical infrastructure rather than a point solution.
While competitive and regulatory risks remain, especially as more AI touches regulated legal work, the direction of travel is clear: users in real estate law will increasingly expect AI-native tooling, and Orbital is now one of the few companies with both the funding and domain credibility to set that standard.
