Real Estate Attorney for AI Startup (Legal Solutions Architect)
Orbital Witness
Location
New York
Address
New York City, New York
Employment Type
Full time
Location Type
Hybrid
Department
Sales
🚀 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 🔎
As a Legal Solutions Architect at Orbital, you will partner with leading AmLaw 200 law firms and in-house legal teams to unlock the value of real-estate-specific AI in their practices. In this client-facing role on the go-to-market team, you will serve as a trusted advisor to partners and innovation leaders - guiding successful pilots, coaching legal teams through change, and driving long-term adoption of Orbital Copilot.
You will collaborate closely with Sales, Customer Success, Marketing, and Product to deliver strategic insights, enable customers, and provide thought leadership across the customer lifecycle.
This role is ideal for a US-qualified attorney who is passionate about how legal technology can transform the practice of real estate law and who thrives in dynamic, evolving environments.
You’ll get a chance to: 👩💻 👨💻
Partner closely with Account Executives to drive the legal “win” during the sales process by aligning Orbital’s solutions to real-world legal workflows across practice areas.
Engage with attorneys at law firms, title agencies, and real estate companies to uncover pain points and identify high-impact use cases for AI in legal work.
Facilitate tailored product demonstrations, discovery sessions, and pilot programs that resonate with specific legal teams and practice groups.
Coach attorneys and legal staff through workflow change, adapting your approach to different roles, seniority levels, and firm cultures to support successful adoption.
Build consultative, trust-based relationships with key legal stakeholders by applying your legal training and deep real estate subject-matter expertise.
Translate customer feedback into actionable insights for Product, Sales, and Marketing, acting as the legal “Voice of the Customer.”
Contribute to go-to-market efforts by helping develop practice-area-specific content and collateral that speaks to lawyers’ unique needs.
Collaborate with engineers and data scientists to provide ongoing feedback on product performance and ensure our solutions solve the right problems.
Conduct market research and competitor analysis to inform sales strategy and product positioning.
Reinforce Orbital’s market presence as a credible and forward-thinking legal technology partner through activities such as publications, hosting CLEs, and presenting at firm events and industry conferences.
You should apply if: ✍️
You are a US-qualified attorney (JD + active or eligible bar) with 4–8+ years of experience in commercial real estate law.
You have deep experience in commercial real estate, including acquisitions, dispositions, due diligence, land use, construction, and/or real estate finance, with a comprehensive understanding of legal workflows from paralegals to partners.
You enjoy being client-facing and are comfortable advising law firm partners, practice leaders, and senior innovation teams.
You’re passionate about the impact legal technology can have in reshaping real estate practice.
You’re highly computer-literate and eager to learn about LLMs, model behavior, and safe AI adoption.
You thrive in a fast-moving, collaborative startup environment and can adapt quickly as customer needs and products evolve.
You can represent Orbital credibly to sophisticated law-firm and in-house audiences.
It would also be nice if you:
Experience working with legal software or LegalTech tools, especially in a client-facing capacity.
Experience running deals, briefing partners, practice leaders, clients, and other senior stakeholders.
Strong facilitation skills for workshops, CLE delivery, and discovery sessions with partners.
Experience working on sales or revenue teams.SaaS tools for work or personal projects.
Benefits
Competitive starting salary + commission of $140,000–$190,000 (with OTE of $175,000–$237,500)
401(k) match and equity options in a fast-growing startup
20 days paid holiday (plus bank holidays) + additional personal days
Professional equipment and a personal development budget, along with training opportunities
Commuter benefits
An inclusive community with all-company off-sites, lunches, and social events
🔒 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.
