Own LawLine AI.

What you'd own.

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

• ●Brand identity: LawLine trademark, website, and positioning in legal market
• ●AI agent design spec: prompts, call flows, qualification criteria for intake calls
• ●GTM playbook: LinkedIn cold outreach templates, legal directory sourcing, demo-per-month framework
• ●Customer list: existing pilots or warm prospects from founder relationship
• ●Financial model: pricing tiers, unit economics, Year 1-3 ARR projections
• ●Founder phone book: warm law firm intros from 6-month cold outreach
• ●Call center integrations: Twilio integration, call recording, basic CRM connectors

What Roll Digital builds for you.

Custom scope to take LawLine AI from MVP shell to operating business.

• ▸Production-grade phone infrastructure with call routing to law firm CRM systems
• ▸Multi-tenant dashboard showing call logs, lead quality scores, conversion metrics
• ▸Compliance layer for HIPAA alignment and attorney-client privilege documentation
• ▸Subscription billing system with Stripe integration for $300-450/mo pricing tiers
• ▸Lead qualification AI with tuned prompts for PI and criminal cases
• ▸Customer onboarding automation for law firm setup and call forwarding
• ▸Cold outreach campaign infrastructure for LinkedIn scraping and email sequences
• ▸Analytics dashboard showing CAC, LTV, and cohort retention by practice area

Why this could work.

The TAM is massive and clear: 50,000 US small law firms in PI and criminal defense spending $4,800 yearly on intake solutions. Your GTM is specific enough to execute (40 demos per month, $300-450 pricing) and your market timing is good, as firms still struggle between offshore labor and AI quality. The founder has validated demand through cold outreach, giving you a repeatable sales motion.

What you'd risk.

Two entrenched competitors (Smith.ai, Ruby Receptionists) already own law firm relationships for after-hours intake. Switching them requires proving zero lead loss risk, which is hard to prove at scale. Attorney-client privilege ambiguity is real: bar ethics committees are cautious about client disclosures to AI before engagement. And legal communities are tight: one 'AI dropped my hot case' story shared at a state bar can poison the entire market for you.

Who this fits.

Ideal operator has B2B SaaS sales experience or deep legal industry connections. You're comfortable with cold enterprise sales and navigating regulatory nuance. You understand law firm economics and can handle 6-month sales cycles. Solo SaaS founders, agency operators, or ex-BigLaw business development managers fit well. You need to be willing to debug product-market fit by actually talking to law firms.

Timeline.

From contract signing to operating business.

1. Day 1
   Assets, customer list, founder relationships transfer. Domain ops live.
2. Week 1
   Production infrastructure live. Twilio, Stripe, and CRM integrations deployed and tested.
3. Week 3
   Cold outreach campaign launches to 50+ law firms via LinkedIn and directories.
4. Week 6
   First paid pilot signed. Law firm live with AI answering intake calls.
5. Day 90
   Hit 3-4 paying customers or assess market fit and messaging.

Pricing.

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