CaseGap audits a law firm's marketing from just its URL, then deploys AI agents to execute the fixes – on repeat.
ENTRY ANGLES
AI agents that identify and automate fixes for revenue leakage · Fast initial audit that quantifies losses in dollar terms · Premium pricing model ($2,000+) tied to revenue impact
VERTICALS
CAPABILITIES
AI agents/automation technology, Financial quantification and ROI modeling, Industry-specific operational analysis
CaseGap is a platform that finds "lost revenue" for law firms – revenue slipping away through gaps in their marketing. More importantly, it helps them plug those gaps.
The process has three repeating steps:
- Step one: the platform audits the firm's current marketing state, starting with nothing more than the firm's website URL.
- Step two: the platform generates a prioritized action plan to fix the identified weaknesses, which can be manually edited before execution.
- Step three: the platform deploys AI agents to carry out the plan.
The audit runs 200 checks across a broad range – SEO, local directory presence, reviews, regulatory compliance, even page load speed. All of it completes in 60 seconds.
But the real clever angle is this: CaseGap estimates how much money each identified weakness costs the firm per month. The audit output is therefore a ranked list of problems ordered by their dollar impact – so firms can prioritize what to fix first.
Once the priorities are set, a single button click unleashes specialized AI agents on each issue, with progress visible on the platform dashboard.
Firms that prefer a fully hands-off approach can activate autopilot mode – the platform then runs audits on its own schedule, identifies new issues, and dispatches agents to fix them without any manual intervention.
The free tier covers one site, 10 check categories, a revenue-loss estimate, and a written action plan – implementation is up to the firm. Full functionality, including autopilot, runs $20/month.
CaseGap launched on Product Hunt just this week, but it's already seen real-world use: 340 AI agents have made 12,000 fixes for early clients, cumulatively attributable to $47 million in recovered revenue potential. Though to be fair, "attributable" is doing some heavy lifting there.
Start with the market. In 2025, there are 463,000 law firms in the US. Three-quarters of them have fewer than six attorneys, and 40% are solo practitioners.
That means the overwhelming majority of American law firms lack the capacity, expertise, and time to run meaningful marketing. Platforms promising autopilot-grade marketing to these firms are targeting a massive, underserved audience.
Unsurprisingly, others have noticed this opportunity.
In February this year, FirmPilot – an AI marketing platform for law firms – raised $22 million in new investment ([related review](/review/novyj-kriterij-vybora-horoshej-nishi)). The technology is quite similar, though FirmPilot skips the lost-revenue quantification trick.
What FirmPilot does differently is charge premium prices: its entry plan runs $4,250/month and the top tier hits $9,250/month.
Against that backdrop, CaseGap's $20/month looks like a bold move. Except it isn't – it's a problem.
Charging thousands of dollars a month is the strong move. Twenty dollars a month is a signal. And not a flattering one. If clients are willing to pay $4,000–$9,000 a month for a comparable service, why take $20?
Yes, FirmPilot may price out smaller firms. But are those firms the clients a startup wants? Firms that can only afford pennies probably earn pennies – and they're hard to grow with. A firm generating serious revenue can afford serious pricing, especially for a tool that's supposed to generate even more serious revenue.
There's also a perception angle: for a law firm billing at premium rates, a suspiciously cheap tool may actually read as low quality.
One counterargument is that CaseGap is younger and less mature than FirmPilot, so it should price lower. Fair – but how much lower? The first time FirmPilot crossed [covered previously](/review/ne-nuzhno-horosho-nuzhno-luchshe), back in 2024 when it was also just getting started, it was already pricing at $3,500–$5,900/month. Not at $20. That's not a pricing gap – that's a different weight class entirely, both in terms of earning potential and how investors and customers perceive the business.
Pricing isn't just a revenue decision. It defines the target customer, shapes the marketing strategy, and signals what category of product you're building. A cheap product can only afford cheap marketing.
CaseGap's homepage leads with: "Find the holes your revenue is leaking through – and use AI agents to plug them." The law firm context comes second, in the fine print.
That framing is actually the most interesting thing about this startup. The real opportunity here isn't law firm marketing – it's the broader category of AI platforms that identify revenue leakage across any business and automate the fixes.
This concept applies across industries and functions: marketing, operations, logistics, procurement, you name it.
Two implementation notes worth keeping in mind: the fast initial audit that quantifies losses in dollar terms is the most critical hook – that's what gets a prospect's attention and makes the pitch concrete. And don't price at $20/month when clients would pay $2,000 – or make sure the niche you're targeting has enough revenue at stake that clients will naturally want to pay thousands for the fix.
So – which industry and which operational area would you build this for?