The WhatsApp agent that qualifies a law firm's leads
Grupo Lyown, a Miami law firm with operations in Colombia, runs paid ad campaigns for trademark registration. Its lawyers answered every lead by hand over WhatsApp, which was slow and let expensive leads leak. Work-Smart built Victoria, a WhatsApp AI agent that greets each lead, qualifies them, discloses it is an AI, books the meeting, and hands the lawyer a full intake.
Every dropped WhatsApp is ad spend on the floor.
Grupo Lyown is a Miami-based law firm with operations in Colombia, and it spends real money to bring foreign founders to the firm for trademark registration, company formation, and the cross-border legal work that follows. The lead the firm pays for is expensive, so every dropped WhatsApp is ad spend on the floor.
Paid leads arrived over WhatsApp and the lawyers answered each one by hand. It was slow and uneven. Conversations leaked. Prospects do not read, so a link to a long landing page lost them. And there was no CRM behind any of it, so the firm had no way to know how many leads came in last week, where they came from, which ads were working, or what happened to a conversation after the first reply.
Generic chatbots were a non-starter. The wrong tool would sound impersonal and over-aggressive, and a law firm cannot risk a wrong fee quote, a wrong jurisdiction answer, or a bot that fails to disclose it is AI, which Florida law requires of agents communicating with consumers. The build had to be specific to the firm, grounded in the firm's own practice areas, and disclosed correctly from the first message.
The engagement became an AI Foundation Build delivered as one integrated system: a new site, Victoria, a CRM, analytics, and an AI-visibility layer so the firm shows up when someone asks an AI engine about trademark registration.
A WhatsApp greeting, an AI disclosure, a booked meeting, a briefed lawyer.
When a lead comes in from a campaign, Victoria opens a WhatsApp thread, greets them by name, and discloses she is an AI agent. She asks only what the firm actually needs, like the city and the type of matter, answers in the thread, books the meeting on the lawyer's calendar, saves everything to the CRM, and emails the lawyer a full intake so the human walks in informed. The lawyer closes the matter; Victoria handles the top of the funnel.
The clearest illustration is the late-night lead. A prospect clicks an ad at 11pm. The old way, the conversation waits in a queue until someone is awake and free to reply, by which point the prospect has moved on. The new way, Victoria greets them in seconds, qualifies them, discloses she is an AI, and books them, and the lawyer wakes up to a briefed meeting on the calendar.
When the lawyer wants to step into the thread, Victoria pauses, so the firm never has a human and an AI talking over each other. The disclosure language, the qualifying questions, and the booking copy are all owned by the firm and revised in the monthly working session.
Victoria was one piece.
The firm also got a rebuilt site, a CRM, and an AI-visibility layer so it shows up when someone asks an AI engine about trademark registration. The firm owns it. For the broader pattern in this vertical, see the legal industry page or the local cut at AI for law firms in Miami.
And every month, the system does more than the month before.
Website + landing pages
The website was rebuilt from scratch, designed so a paid-ad visitor can become a qualified lead in the same session, with a clean technical foundation so AI engines can find and recommend the firm. Separate landing pages were created for the firm's specific ad campaigns, like trademark registration for foreign businesses and immigration support, each speaking directly to one service and one buyer, with a call to action that feeds straight into the automation flow.
Victoria, the WhatsApp AI agent
When a lead clicks an ad or submits a form, Victoria opens a WhatsApp thread within seconds, greets the lead by name, discloses she is an AI agent, asks only what the lawyer actually needs, like the city and the type of matter, books the meeting on the lawyer's calendar, saves everything to the CRM, and emails the lawyer a full intake so the human walks in informed. When a lawyer needs to step in manually, Victoria pauses automatically and resumes only on command, so the human and the AI never talk over each other.
CRM and lead dashboard
A custom admin panel replaced the scattered tools. Every lead is tracked with name, contact details, source (which ad campaign and which landing page), service requested, conversation history, and status. The owner can see what is happening in the pipeline at any point, which campaigns are sending qualified prospects, and where conversations are stalling.
Analytics and AI visibility
Google Analytics, Search Console, and Bing Webmaster were set up, the sitemap submitted, and the firm wired up to be found and listed across search and AI engines. From there the firm began appearing when prospects ask an AI engine about trademark registration and the firm's adjacent services.
Monthly retainer
Two tracks: Victoria gets continuous tuning, conversation optimization, and campaign-specific adjustments, and the website plus AI-visibility layer gets new landing pages, new content, and authority work, plus collaboration with the marketing team.
- ▸The firm stops losing paid leads to slow replies. The lead the firm pays for is expensive, so every dropped WhatsApp is ad spend on the floor. Victoria closes that gap by being the first to respond and by being good at the first response.
- ▸First contact feels human and competent. Victoria greets the lead by name, discloses she is an AI, and asks only what the lawyer needs, so the prospect gets something useful in the same minute they reached out.
- ▸Lawyers spend their time on matters instead of on intake. The qualifying questions stop being a lawyer's job, the booking step stops being a lawyer's job, and the lawyer walks into the meeting with a written intake instead of a cold start.
- ▸Lead information that used to live in WhatsApp threads and memory now lives in a structured CRM with full source attribution and conversation logs. The owner has a pipeline he can measure.
Questions About This Case Study
The foundational build, Meta API approval, conversation design, CRM and calendar integration, and the backend, took about two months. Victoria went live shortly after in supervised mode, with every reply reviewed. After a supervised rollout, she reached fully autonomous operation. Live since August 2025. The lawyers stopped checking WhatsApp for new leads within the first week.
This was a complete digital growth system: website redesign, Victoria, custom CRM, analytics, and landing pages. The engagement was scoped in phases with clear deliverables. The retainer covers conversation optimization, landing-page updates, and AI visibility. Pricing depends on practice areas and complexity; the AI Ops Audit scopes the exact starting point.
Yes. The pattern is consistent across firms in this size range: lawyers spending time on intake, no CRM, no lead tracking, no system for qualifying before the first meeting. The specific qualifying questions and conversation flows change with practice area, but the infrastructure is the same. Victoria does not touch legal work. She handles the admin and intake that eats billable hours.
No. Victoria connects to your existing WhatsApp business account, your calendar, and whatever CRM you already use. If you do not have a CRM, we build one. The system sits on top of your current workflow and automates the parts that do not require legal expertise.
Victoria discloses she is an AI agent in the conversation, which Florida law requires of automated agents communicating with consumers. The disclosure is built into the greeting flow. The firm reviews and signs off on every change to that language.
A fourth-generation real-estate developer
Quarterly investor reporting, reproducible to the cent
Read case study →A commercial property management firm
AP automation, paper book to private AI workspace
Read case study →If your firm's lawyers are spending time on WhatsApp answering the same qualifying questions instead of practicing law, you are paying for intake work that a system should handle.
The AI Ops Audit is how every engagement starts. Two to four weeks, fixed-fee, and you will know exactly where your intake is leaking and what it takes to fix it.