Real Estate Attorney (AI Legal Engineer)

🚀 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’ve just raised a $60m Series B to accelerate our UK/US expansion.

🤝 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 🔎

You'll take your commercial real estate expertise and turn it into the logic that powers Orbital Copilot. Instead of manual doc review, you'll automate workflows for acquisitions, leases, and title analysis for AmLaw 100 and Magic Circle firms.

You'll help us move an entire industry away from archaic processes by building AI that actually thinks like a real estate lawyer. The opportunity is real - you'll have genuine influence over what we build and how we build it.

What You'll Be Doing

• Automate complex real estate legal workflows from initial concept to successful implementation.

• Build domain-specific knowledge bases and decision trees that translate legal processes into AI workflows.

• Develop automation blueprints for due diligence, lease reviews, and survey analysis.

• Research jurisdiction-specific nuances in US property law to ensure product accuracy.

• Collaborate with AI and software engineers to design features that match how attorneys actually work.

The Impact You'll Have

Your work will directly reduce the reliance on busy lawyers checking documents and writing reports manually. By automating these tasks, you're helping professionals understand exactly what they're getting into before they ever incur legal fees. You'll be a credible voice in the room that helps the world's largest law firms understand and adopt AI.

What We're Looking For:

Essential

• Licensed US attorney with commercial real estate experience.

• Experience with acquisitions, dispositions, leasing, or title and survey review.

• Ability to break down due diligence into structured, discrete tasks for automation.

• High level of tech literacy and curiosity about how technology supports legal work.

• Interest in how large language models can be applied to real estate law.

• Resourceful and analytical approach to solving problems without a script.

Desirable

• Familiarity with LegalTech software or managing teams using AI tools.

• Experience with programming, no-code tools, or software integrations.

What We Offer

• Salary range of $140,000 - $180,000 plus equity options and 401(k) match.

• Hybrid working pattern with some time spent in our New York office.

• $1,000 personal development budget and professional equipment.

• 20 days paid holiday plus bank holidays and additional personal days.

• The chance to fix the archaic processes that frustrated you in traditional practice.

Reasons We Might Not Be For You

• We have limited hand-holding and documentation gaps - you'll need to be comfortable figuring things out as you go.

• We move fast and sometimes discard high-quality work when a better approach emerges - this can be overwhelming if you prefer a predictable pace.

We're Orbital. We are a real estate transformation company using AI to fix how the world's largest asset class changes hands. Our mission is to help people involved in property transactions understand what they're getting into before they incur legal fees. We're on course to process over 1 trillion tokens a year - building for where AI is going rather than just creating another generic chatbot.

The opportuni