
Complete real estate due diligence in a fraction of the time. Trusted by hundreds of leading businesses and property professionals.

Complete real estate due diligence in a fraction of the time. Trusted by hundreds of leading businesses and property professionals.
What they do: AI-powered property diligence and risk-management platform that automates real-estate legal due diligence
Founded: 2018
Headquarters / offices: London and New York
Recent raise: $60M Series B (announced Jan 26, 2026)
Employees: ~120
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Real-estate legal due diligence and property risk management
2018
Software Development
$16,000,000
Reported Series A bringing total raised to about $21M at the time
$60,000,000
Announced to support US and UK growth
🚀 We’re on a mission to make real estate transactions smarter, faster, and friction-free. 🏢 Real estate is the world’s largest asset class , yet the legal processes and tools behind it remain slow, manual, and underinvested. Lawyers must review dense documents line by line and piece together information across silos, all while clients demand faster, more transparent due diligence.
🤖 That's where we come in. Orbital Copilot is the AI assistant built exclusively for commercial real estate law. Developed with former practicing real estate lawyers, it accelerates complex due diligence by up to 70% while delivering legal-grade precision.
🤝 We're trusted by leading firms like Goodwin and BCLP to remove the busywork so legal teams can focus on what they do best: applying sharp legal judgment, delivering standout client service, and getting deals over the line faster.
💡 Working at Orbital means joining a team that's reimagining how real estate transactions get done - moving fast, working collaboratively, and giving people the ownership to make a real impact from day one.
Role Overview 🔎 We're looking to speak to frontend heavy, senior fullstack engineers, as we've launched the industry’s first legal AI Agent and have seen phenomenal growth in both revenue and usage in the last 18 months. Orbital Copilot is a new product which is delivering much needed automation in Real Estate transactions across the country and internationally, with a view to transforming the way property is transacted. We have a successful existing product which helps real estate professionals extract key information & create reports from legal documents. We’re evolving this product to add further value to our user base.
With the recent release of many Large Language Models (LLMs), such as OpenAI’s GPT-5 and o3, we’ve continued to adopt bleeding edge frontier models. This is an opportunity for someone who is passionate about learning how to utilise this in production use cases.
You’ll own the end-to-end design and development of key features of our web application along with the underlying services that support it. You’ll be joining a small, dynamic and fast-paced team with a focus on quality, usability and impact. You’ll be involved in every stage of the development lifecycle; from discovery and design, through implementation to deployment, maintenance and continuous improvement. You will be supported by a cross-functional, collaborative and growing team in delivering an impactful product, initially to lawyers and then to a wider set of B2B customers.
You’ll get a chance to: 👩💻 👨💻
You should apply if you: ✍️
It Would Also Be Nice If You Have
Benefits
🔒 Security is everyone’s responsibility at Orbital. We ask all team members to follow our security policies, complete regular awareness training, and handle sensitive data with care in line with ISO 27001 standards. Spot something unusual? Reporting risks or incidents quickly helps us maintain the strong culture of security and compliance we all depend on.
💡 At Orbital, we’re committed to building a diverse and inclusive team. We especially welcome applications from people who are traditionally underrepresented in tech. Even if you don’t meet every single requirement, or if the right role isn’t listed yet, we’d still love to hear from you.
💰 This hiring range is a reasonable estimate of the base pay range for this position at the time of posting . Pay is based on several factors, which may include job-related knowledge, skills, experience, and business requirements.