Own Real Estate Law AI.

What you'd own.

Every artifact below transfers to your accounts on day one. The whole engine.

• ●The core SaaS product with AI contract analysis and drafting engine.
• ●Proven outbound GTM playbook: email sequences and LinkedIn targeting.
• ●Financial model with 0.13 probability of success path.
• ●Customer success framework for law firm onboarding.
• ●Brand identity, landing page, and sales positioning.
• ●Title company partnership playbook for secondary distribution.
• ●Founder persona and competitive positioning versus Clio and MyCase.

What Roll Digital builds for you.

Custom scope to take Real Estate Law AI from MVP shell to operating business.

• ▸Production backend on FastAPI with document processing and AI integration.
• ▸Stripe billing system with three law firm pricing tiers.
• ▸Multi-tenant authentication system with email and Google sign-in.
• ▸Production contract analysis engine with malpractice audit logging.
• ▸ABA ethics compliance templates and malpractice liability documentation.
• ▸Customer success dashboard with analytics and adoption tracking.
• ▸Secure deployment infrastructure and initial customer onboarding support.

Why this could work.

The TAM is substantial: 18,000 law firms spend $3.3K annually on practice management software, with real estate attorneys increasingly expecting AI-assisted workflows. Your GTM motion is proven: email and LinkedIn outreach yields 20 demos monthly and 3 closes. Title company partnerships provide a secondary distribution channel. When mortgage rates normalize, transaction volume will spike, bringing discretionary tech budgets back into play.

What you'd risk.

Real estate attorneys are pathologically risk-averse about AI-assisted legal output; one bad contract clause could trigger churn and ABA ethics complaints. Current mortgage rate environment is actively suppressing real estate volumes and firm revenue, killing discretionary tech budgets at your exact target audience. Clio, MyCase, and Lawmatics are shipping AI features directly into established workflows. The model shows 0.13 probability of success and loses money year one.

Who this fits.

This business suits an operator with existing legal tech distribution, relationships, or reputation. A solo SaaS founder comfortable with B2B outbound sales could work, but more likely this needs someone with prior law firm relationships or existing practice management software experience. First-time founders in legal tech face significant risk given the malpractice liability and switching cost dynamics.

Timeline.

From contract signing to operating business.

1. Day 1
   Ownership transfer, asset handoff, customer list access.
2. Week 1
   Team transition and customer communication.
3. Week 3
   First outbound campaign launched to bar association targets.
4. Week 6
   First demos scheduled with real estate attorneys.
5. Day 90
   Initial customer closes and revenue validation.

Pricing.

Three ways in, depending on how much you want to build yourself.