Role Overview Orbital's Legal Engineering team is composed of former practicing real estate lawyers who turn legal expertise into the logic that powers Orbital. Legal Engineers design, build, and refine the workflows, knowledge bases, and evaluations behind our product, working side by side with AI and software engineers, product managers, and designers. They translate real legal work into AI that thinks like a real estate lawyer, serving as the legal trust layer behind every output our customers rely on.
You'll take your commercial real estate expertise and turn it into the logic that powers Orbital. Instead of manual doc review, you'll automate workflows covering the full spectrum of RE legal work 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 and performs 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- Working closely with AI and software engineers, take commercial real estate workflows - acquisitions, leases, and title and survey review - and automate them from initial concept to successful implementation for Am Law 100 and Magic Circle firms.
- 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.
- Evaluate model outputs and use those evaluations to continually them
- Collaborate with AI and software engineers to design features that match how attorneys actually work.
What We're Looking For:Essential- A JD from a nationally accredited law school or equivalent qualification.
- At least 2 years of experience as a licensed attorney in commercial real estate.
- At least 2 years as in-house counsel, advising sophisticated corporate clients, or similar role.
- Hands-on experience with acquisitions, dispositions, leasing, and/or title and survey review.
- Ability to break down due diligence and other real estate legal work into structured, discrete tasks that can be automated.
- High level of tech literacy and deep curiosity about how large language models can be applied to real estate law, paired with a practical, solutions-oriented mindset and bias toward action.
- Clear communication skills - comfortable explaining legal context to engineers and product managers who aren't lawyers, and engaging credibly with attorneys at leading firms.
- A resourceful, analytical approach to solving problems without a script, and comfort working in a fast-moving environment where priorities shift.
- The drive to change the real estate legal industry and build better, more efficient ways to get real estate deals done
Desirable- Familiarity with LegalTech software, experience managing teams that use AI tools, and/or experience with programming, no-code tools, or software integrations are all pluses.
- Cross-functional exposure across operations, product, business, or compliance; client-facing experience via law firm business development or secondments; and practical familiarity leveraging artificial intelligence within legal workflows.
Benefits & Salary- 401(k) Plan: Match 100% of contribution up to 4% of salary.
- PTO: 20 days of vacation per year, plus additional personal days as detailed in our internal handbook.
- Health Insurance: Competitive medical, dental, and vision plan.
- Professional Development: $1,200 stipend per year to spend on development resources.
- Commuter Benefits: Allocate pre-tax earnings to cover eligible commuting expenses.
- In-Office Perks: Late night office dinner and weekly team meals.
- Salary: $178,500-$225,000 base salary
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.
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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.
