AI platform for real estate legal document review and transaction due diligence
Orbital builds domain-specific AI for real estate legal work, handling document-heavy transactions across US and UK markets. The stack reveals a modern, product-driven organization: React/TypeScript frontend, Python backend, PostgreSQL storage, with OpenAI and Anthropic for LLM inference. Active hiring across engineering, sales, and solutions consulting—combined with projects around a copilot assistant, due-diligence automation, and customer onboarding playbooks—signals expansion from early-stage product toward GTM and operational scaling.
Notable leadership hires: Office Lead & EA
Orbital is a legal AI platform designed for real estate professionals and law firms. The product automates document review, due diligence analysis, and deal risk assessment across complex, multi-jurisdictional transactions. The customer base spans Am Law 100 firms, Magic Circle practices, in-house legal teams, and institutional real estate operators (REITs and portfolio managers) across the US and UK. Founded in 2018 and headquartered in New York, the company employs 51–200 people and is actively expanding sales, engineering, and customer success functions.
Orbital's core stack includes React and TypeScript for frontend, Python and PostgreSQL for backend, with Kubernetes and Docker for deployment. The platform integrates OpenAI and Anthropic for AI inference, and uses HubSpot for sales operations.
Orbital is headquartered in New York, NY, with an active expansion into the UK market and recent office operations projects in LA and NY.
Orbital's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.