Orbital Raises $60M to Automate Real Estate Law

Orbital has raised a $60 million Series B round to scale its AI platform for real estate law, with a clear focus on accelerating growth across the US and UK while investing deeper in product capabilities.

A $60M Series B that signals scale

Orbital, the AI platform purpose-built for real estate law, announced a $60M Series B led by Brighton Park Capital. The round also included participation from REV (the venture capital arm of RELX, which owns LexisNexis Legal & Professional), The LegalTech Fund, Moderne Ventures, and Grosvenor Group (an existing Orbital customer), with existing investors including JLL Spark, Outward, and Seedcamp also participating. Orbital says the funding will be used to support continued growth in both the US and UK, expand adoption across the broader real estate transaction ecosystem, and accelerate product investment toward a single secure workspace spanning the full asset lifecycle.

From the perspective of the ai world organisation, this is the kind of funding milestone that usually marks a shift from “promising legal AI tool” to “category platform,” especially in sectors where workflows are complex, document-heavy, and risk-sensitive. This is also why stories like Orbital’s belong in the spotlight at the ai world summit, where legal, enterprise, and industry AI teams compare what’s working in production—not just what looks impressive in demos.

For teams tracking ai world organisation events and planning what to prioritize at ai conferences by ai world, Orbital’s raise is a practical signal: investors and major ecosystem players are increasingly backing legal AI that is vertical-first and domain-constrained, instead of one-size-fits-all copilots. The ai world summit 2025 / 2026 agenda conversations around applied AI, agentic workflows, and governed automation map closely to what Orbital is trying to deliver inside one of the most operationally demanding legal practice areas.

Why real estate legal work is a prime target for AI

Real estate may be the world’s largest asset class, yet many of the legal workflows supporting transactions still rely on manual review, fragmented inputs, and slow coordination between multiple stakeholders. Orbital’s positioning is that real estate law is materially underserved by broader legal tech AI, largely because property work brings together many interdependent records, maps, and historic deeds—sometimes dating back decades or centuries—where context and spatial data matter alongside text. In other words, this isn’t just “summarize a contract” work; it’s a multi-source, multi-format problem where missing a small detail can create outsized downstream risk.

That’s exactly the kind of environment where “AI + workflow + structured data” tends to outperform standalone chat experiences. For legal teams, the stakes are clear: faster turnaround is valuable, but accuracy, auditability, and consistency are what unlock long-term adoption. In the ai world organisation community, this pattern shows up again and again across regulated industries: the platforms that win are the ones that fit into real work, not the ones that only generate text.

It also explains the investor mix in this round. When you see participation from a LexisNexis-connected fund via REV, alongside real estate and legal tech investors, it suggests confidence not just in the technology, but in the distribution pathways and the ecosystem relevance of the workflow itself. For anyone attending the ai world summit or tracking ai world organisation events, this is an important market lesson: AI products that can embed into existing professional platforms and daily matter workflows tend to scale faster than products that require users to rebuild habits from scratch.

What Orbital’s platform is built to do

Orbital describes its technology as AI optimized for real estate law combined with spatial visualization, mapping, and real estate data—designed to automate real estate legal work and help transactions progress faster. The company’s thesis is that modernizing real estate legal processes requires more than document automation; it requires systems that understand how property information connects across text, maps, and supporting records. Orbital also emphasizes that the goal is to replace manual, document-heavy review across “hundreds of interdependent records” and move toward more automated, AI-driven real estate legal processes that add speed and transparency.

The traction figures shared publicly are significant: Orbital says it ended 2025 supporting 200,000 real estate transactions across the US and UK. The platform is described as being used by hundreds of law firms (including AM Law 100 and Magic Circle), plus in-house legal teams, developers, title companies, and REITs—showing adoption across different real estate deal types and participants. Orbital’s stated longer-term product direction is to build a single, secure workspace for real estate legal work across the lifecycle of the entire real estate asset class.

For the ai world organisation, this “single workspace” idea is especially relevant to the ai world summit 2025 / 2026 conversations about agentic AI in enterprise settings. The leap from “tool that speeds up one task” to “workspace that orchestrates many tasks” is where AI becomes operational infrastructure. At ai conferences by ai world, these are the deployments practitioners want to dissect: what was automated first, how exceptions are handled, how governance works, and how teams measure risk reduction alongside productivity gains.

US and UK expansion: execution, not just ambition

Orbital is headquartered around a New York and London footprint and serves both US and UK markets. Following the opening of its New York office in 2025, Orbital says it plans to double headcount and establish additional US hubs to better serve customers. The company’s public messaging is explicit that this Series B is about aggressive growth and scaling adoption across the broader real estate transaction ecosystem, not simply maintaining momentum.

There’s also a strategic element in how the investors frame the category. Brighton Park Capital’s commentary highlights real estate law as a complex legal market that has remained dramatically under-automated, which aligns with Orbital’s claim that the category is ready for transformation. This matters because complex categories are typically where AI platforms either become deeply sticky (if they solve hard workflow problems) or fail quickly (if they don’t reach the reliability bar). The focus on domain expertise, real-world workflows, and accuracy is a signal Orbital understands the adoption threshold in legal practice.

For readers of the ai world organisation ecosystem, the US/UK expansion detail is more than geography—it’s a clue about product strategy. Scaling across jurisdictions forces an AI platform to handle different documentation standards, expectations, and professional norms, and that’s a real stress test for any LegalAI approach. If you’re shaping programming for the ai world summit or aligning ai world organisation events to what enterprise buyers need, cross-market scaling stories like this one tend to produce the most useful lessons.

What this means for LegalAI—and why it belongs at AI World Summit 2025/2026

Orbital’s story is a reminder that “legal AI” is not a single market; it’s a collection of submarkets with very different data, workflows, and risk profiles. Orbital is deliberately centered on real estate law and aims to modernize the transaction process for that specific domain. It is also a reminder that the strongest wedge products in legal AI are often the ones that reduce repetitive review while improving consistency, because that combination supports both business outcomes and professional confidence.

From the ai world organisation standpoint, this funding round is also an “ecosystem signal” worth watching: RELX participation through REV connects this story to the broader legal information and workflow stack that many firms already rely on. At the ai world summit, practitioners often ask a blunt question: will AI replace tools, or will AI be embedded into the tools people already use? Orbital’s investor mix makes the second scenario feel more likely in this part of the legaltech landscape.

If you’re mapping topics for ai world summit 2025 / 2026 or building content for ai world organisation events, Orbital’s raise naturally fits panels and sessions like “AI agents in regulated workflows,” “from copilots to governed automation,” “AI + data fusion (text + spatial + records),” and “how legal teams operationalize AI with measurable outcomes.” The most actionable takeaways for attendees at ai conferences by ai world will come from specifics: where AI accelerates review, how teams handle exceptions, what governance controls exist, and how organizations communicate reliability internally.

In the near term, the success metric will be execution: doubling headcount, expanding additional US hubs, and delivering on the promise of a single secure workspace across the asset lifecycle. In the longer term, the story to watch is whether “property-aware LegalAI” becomes its own stable category—distinct from generic contract AI—because it blends legal reasoning with spatial and asset data in a way most horizontal tools cannot easily replicate. For the ai world organisation community, that category formation is exactly the kind of shift that the ai world summit is built to document and accelerate.