AI for law firms in Miami. Intake automation. Knowledge management. Governed AI.
You're running a law firm in Brickell or Coral Gables. Your highest-paid people are spending 5-6 hours a day on email, intake screening, status calls, and paperwork. Your attorneys know more about AI tools than your firm's policy on them. And you don't know where the risk is.
AI consulting for Miami law firms automates intake, lead qualification, case management without legal risk. Work-Smart.ai builds governed AI systems for South Florida. WhatsApp automation, CRM integration, compliance-first. Fixed-fee diagnostic. Working system in 60 days.
My first client was Grupo Lyown, a Miami-based law firm with operations in Colombia. They were answering WhatsApp leads during billable hours.
Three attorneys. One office manager. They were getting 30-40 WhatsApp messages per month from potential clients. Most weren't qualified. But the attorneys were answering every one, on personal phones, during billable time, because they didn't have a system to screen.
We built a WhatsApp AI agent that qualifies leads overnight, schedules callbacks for qualified prospects, and gives the attorneys back their time. That system is called Victoria. The firm went from losing track of leads to a 42% meeting booking rate on inbound WhatsApp conversations.
Legal was where I started. It's where I learned how governance-first AI actually works in practice, not in theory, but in a regulated environment where the stakes are real.
Four problems every South Florida law firm knows.
All solvable. Not by replacing your systems. By making the time your attorneys spend on non-billable work shorter, without requiring them to change how they work.
Intake and lead qualification
Potential clients reach out via WhatsApp, email, phone, at any hour. Your attorneys are answering them directly, on personal phones, during billable hours. Most aren't qualified. The ones who are get lost in the queue. You're losing revenue and creating a security problem simultaneously.
Knowledge trapped in inboxes
Your firm is 15 years old. You have precedent for nearly every situation. But that precedent lives in email inboxes and shared drives nobody can search effectively. An associate spends hours manually looking for how you handled a matter three years ago. That knowledge should take seconds to surface.
Shadow AI and governance
Your attorneys are using ChatGPT. You know it. They know it. You don't know what they're asking it or whether client information is going in. If sensitive data gets exposed via an uncontrolled AI tool, that's a malpractice exposure. You need a governed alternative, not a ban, which won't stick.
Failed tech adoption
You tried to implement a practice management system three years ago. The attorneys didn't use it. Why? It required them to change their workflow. They went back to email. Any AI solution has to work with how attorneys actually work, not require them to change how they work.
Victoria, a WhatsApp AI agent we built for Grupo Lyown.
Grupo Lyown, a Miami-based law firm with operations in Colombia. 30-40 WhatsApp leads per month. Zero screening.
Three attorneys. Immigration and corporate matters. They were getting 30-40 WhatsApp messages per month from potential clients. Most weren't qualified. But the attorneys were answering every one because they didn't have a system to screen. Billable hours spent on leads that would never convert.
A WhatsApp AI agent that qualifies leads overnight.
Victoria listens to the incoming message, asks clarifying questions about the legal issue, gathers contact information, and determines if the matter is in-scope. For matters that are in-scope, it schedules a callback with an available attorney. For out-of-scope matters, it sends a polite referral. The attorneys wake up to a qualified list.
From 0% to a 42% meeting booking rate on WhatsApp leads.
The firm went from losing track of leads to a 42% meeting booking rate on inbound WhatsApp conversations. For a firm doing 40 leads per month, that means lawyers only see the conversations worth having. The intake time that used to eat billable hours goes back to practicing law.
I also worked with a South Florida law firm. 20 attorneys, immigration and corporate, that had failed with a legal tech tool two years earlier. The attorneys never adopted it. This time we built a knowledge search system that runs on their existing case files. Associates don't go to a new system, they ask a question in Slack. The system finds relevant past cases and sends the answer. Same workflow. Just faster.
Early adoption: 70%, compared to 3% on the previous tool. The difference was not forcing behavior change.
Law is local. The Brickell district. Florida bar rules. Bilingual client work.
Brickell and Coral Gables have one of the highest concentrations of law firms in South Florida. Real estate, immigration, corporate, finance, litigation, family law, it's a dense market. The problem is not a lack of clients. It's a lack of time.
I understand what it means to build AI for a bilingual practice where clients speak Spanish and associates work in both languages. I understand that Florida bar rules require competence, if you're using AI for legal analysis and it's wrong, that's on you. That's why every system I build uses private AI with zero-retention: your data never goes to OpenAI's servers, it's never used to train a model, and it's not stored anywhere outside your control.
I show up at your office. I see the problem firsthand. And when something breaks, I respond the same day. Not "we'll schedule a call next week." Same day.
The AI Ops Audit for legal. Fixed fee. 2-3 weeks.
Most South Florida law firms come out of the audit focused on one of three things: intake automation, knowledge management, or compliance monitoring. The audit tells you which is highest priority for your firm and exactly what it would cost.
Discovery
We map your firm. How are clients coming in? Email? Phone? WhatsApp? Referrals? How are they being screened? By whom? How long does screening take? What percentage convert to retainers? We examine your tech stack, what systems do you use? Where does institutional knowledge live? Is it searchable?
Analysis
We identify the time leaks. How many attorney-hours per week are spent on intake screening? On knowledge searching? On compliance work that could be automated? What's the revenue impact of not automating? If intake conversion increased from 5% to 15%, what would that mean?
Roadmap
We deliver a specific roadmap. Which problem should we solve first, intake automation or knowledge management? What provider should we use for private AI? What does it cost? What's the timeline? What are the legal and governance implications if we do nothing?
You'll know the exact cost and timeline before we start building. Fixed fee. No surprises. And you'll understand the governance and malpractice implications.
Frequently Asked Questions
For a solo or small firm (1-5 attorneys) doing intake automation and basic knowledge search: a focused fixed-fee foundation build plus a small monthly maintenance retainer. For a mid-size firm (10-50 attorneys) adding compliance monitoring and more complex knowledge management: a larger fixed-fee build plus a monthly retainer. The AI Ops Audit gives you the exact number for your firm.
No. We build on top of your existing system. Clio, Rocket Matter, LawLabs, whatever you use, we integrate with it. You don't replace anything.
Private AI systems with proper governance are more accurate than public ChatGPT because they're trained only on your firm's patterns. But you should always have an attorney review AI-generated work before relying on it. AI is a research assistant, not a decision-maker. The attorney is responsible for the final work.
Yes. I'm bilingual. That matters in South Florida. If you're working with Spanish-speaking clients or your team uses Spanish internally, I can build systems that support both languages.
Yes, though the economics are different. A solo attorney spending 20 hours per week on non-billable work can benefit from automation. But the upfront cost is the same, so the payback period is longer. Some solos find intake automation makes sense first because the payback is fast. Others prefer to wait until they can justify the investment.
4-12 weeks depending on how complex your systems are and how much integration work is needed. You're using systems in production while we build, not waiting until the end to see something work.
We design systems that don't require behavior change. If you're building knowledge search, the attorney doesn't go to a new interface, they ask a question in Slack. Same workflow, faster answer. That drives adoption.
Most South Florida law firms are doing intake manually. Knowledge is tribal. Billing is reviewed by hand. The attorneys know they need to change, and they're worried about getting it wrong again.
The AI Ops Audit is designed for legal. Two to three weeks. We show you exactly what would change, what it would cost, and what the governance implications are. No surprises.