How a Tampa Investment-Fraud & Malpractice Firm Captured 436 Consultation Requests with an AI Website Agent

Most case studies open with adjectives. This one opens with a spreadsheet — a full export of what a single AI website agent actually captured for a law firm.

The firm is Tampa-based and anonymized here. It built its practice on professional malpractice and investment-loss recovery: the brokers, financial advisors, accountants, and other fiduciaries who cause real financial harm — plus the securities-fraud, real-estate-nondisclosure, and property-insurance matters that come with them. In September 2025, it put an UpChat AI website agent on the front of its site as its intake desk. There was no paralegal watching the widget. Instead, the agent ran the first conversation with every prospective client, trained on the firm's practice areas and its free-consultation, contingency-fee model.

We exported the full log: 763 website conversations between September 2025 and July 2026, its first eleven months live. Here's what actually walked in the door.

The results at a glance

In eleven months, the agent handled 763 conversations and turned 436 of them into completed consultation requests — capturing contact details on 93% of those. That's roughly 40 qualified consultation requests a month, with no one monitoring the chat.

To be clear about what that number is and isn't: capture means the prospect left a name and a working phone or email, so the firm could follow up. It does not mean any case was signed, won, or recovered. In other words, the agent's job is intake, not outcomes.

Who's reaching out — and what's at stake

People don't fill out a fiduciary-harm intake casually. Instead, they arrive after a statement doesn't add up, a bill lands, or a “trusted” advisor goes quiet. As a result, the dollar figures are rarely small.

Across 763 conversations, the demand sorted into clear lanes:

• Securities and investment-fraud matters led. Losses from unsuitable investments, misrepresentation, and outright fraud were the single most common reason people reached out.
• Legal-malpractice claims were close behind — people harmed by a prior attorney's error or inaction.
• Real-estate nondisclosure, property-insurance disputes, and consumer/credit matters rounded out the core practice, alongside a run of early-stage crypto and “pig-butchering” scam inquiries.

The stakes were high and specific. For example, the log included:

• a retiree who lost about $196,000 in retirement savings to a crypto “investment group” run through a fake platform;
• a couple whose brokerage account was drained of roughly $250,000 in a pump-and-dump, after a screen emulator let someone place trades remotely;
• an investor down $125,000 on a halted stock, pushed by someone impersonating a well-known hedge fund over WhatsApp;
• an heir contesting a $30–$35 million estate the personal representatives allegedly understated;
• a $1,000,000 legal-malpractice claim, after a prior lawyer never filed a case they promised to pursue; and
• a homeowner facing about $300,000 in undisclosed defects.

The agent didn't judge the merits of any of these. Instead, it listened, captured the essentials, and routed each one to the firm.

What the agent actually had to capture

A fiduciary-harm intake isn't a contact form with a chat skin. Reading the transcripts, the agent consistently did the work a good intake coordinator would:

1. Identify the type of harm. An investment-loss matter, a legal-malpractice claim, a real-estate nondisclosure, and a property-insurance dispute all route differently — and the agent kept them straight.
2. Get the two facts that decide everything. The approximate loss and the timeline — when the loss happened, and when the client discovered it — are exactly what a firm needs to weigh a claim. Therefore, the agent asked for both.
3. Confirm Florida and set honest expectations. It confirmed the matter was in the firm's lane, explained the free consultation and the no-recovery-no-fee model, and reminded people to preserve evidence — statements, messages, screenshots.
4. Ask for contact at the right moment. Not on message one, but after the person had described the harm and heard the firm might be able to help — which is how lead capture should work.

What it never did was give legal advice. It qualified and routed; a lawyer reviews.

Keeping the intake queue clean

Capturing serious matters is only half the value. Just as useful for a contingency practice, the agent kept 284 incomplete inquiries — people who opened the chat, asked a question, and drifted off — out of the follow-up pile. It also handled the out-of-practice matters gracefully, rather than routing them into intake.

After all, plenty of conversations were never this firm's case to take — a criminal grievance, a general complaint, a matter outside Florida. None of those is a lost lead; they were never leads. Still, every one is a call or email an attorney didn't have to field. A well-trained agent qualifies and deflects, so the humans spend their time on the matters that fit — the same discipline that helps a Washington leak-detection company capture 99% of its serious inquiries.

What this means if you run a plaintiff or contingency practice

PI firms, malpractice firms, securities and employment practices — the pattern holds. Your best cases arrive as raw, emotional stories, often after hours, while the client is already talking to other firms.

1. The story arrives before the client is ready to call. Roughly one in five of this firm's conversations came in outside weekday business hours. An agent answers in that moment, instead of sending them to voicemail.
2. Specificity builds trust. For example, a prospect who's just lost six figures shares more with an intake that clearly tells securities fraud apart from real-estate nondisclosure.
3. You don't need a bigger front desk. This entire dataset was generated with no one monitoring the chat.
4. Qualification protects your team. Capturing the loss amount and timeline up front hands the attorney a pre-screened record, and keeps the queue focused on real fits.

Frequently asked questions

How many leads can an AI chat agent capture for a law firm?
In this deployment, a Tampa investment-fraud and malpractice firm turned 763 website conversations into 436 completed consultation requests over eleven months — about 40 a month — and captured contact details on 93% of the completed ones.

Does the AI give legal advice?
No. The agent listens, identifies the type of matter, captures the loss and timeline, and routes the inquiry to the firm's team. It does not evaluate the merits of a claim or offer legal advice — a lawyer does that.

Can it handle sensitive, high-stakes matters appropriately?
Yes. It gathers the facts, explains the free-consultation and contingency model, reminds people to preserve evidence, and refers clearly out-of-scope matters elsewhere rather than pushing them into intake.

How long does it take to set up an AI website agent?
Most UpChat firms go live in under five minutes: sign up, train the agent on your website and practice areas, customize the widget, and paste one embed snippet. See how it works.

Your website is already getting the traffic. The only question is whether anyone's there when someone who just lost their retirement finally types “I think my advisor defrauded me.” An AI agent answers the moment they ask — start your free 14-day trial, no credit card, live in under 5 minutes.

Methodology: figures come from a full export of 763 website conversations handled by an UpChat AI agent for a single Tampa-based investment-fraud and professional-malpractice firm between September 2025 and July 2026, its first eleven months live. The firm and all prospects are anonymized; the export was redacted of personal information before analysis. “Consultation request” means a conversation the agent classified as a completed free-consultation intake; “capture” means the conversation ended with a visitor-provided email or phone number and does not indicate a signed, won, or recovered case. Business hours are defined as Monday–Friday, 8 a.m.–6 p.m. Eastern; conversation examples are lightly edited and fully anonymized. Dollar figures are amounts prospective clients described, not verified losses or recoveries.