<p>My product is a Micro-SaaS legal technology platform built for lawyers and legal professionals. It combines AI-powered case analysis, judgment research, argument preparation, legal drafting, and client management into one platform, with both a web application and Android app.</p><p>It was founded and developed by a solo founder with a focus on making advanced AI capabilities practical and accessible for legal professionals.</p><p><b>Key Highlights</b></p><ul> <li>Business Model: Micro-SaaS / Subscription</li> <li>Current MRR: $1,120</li> <li>August 2026 Revenue: $1,120</li> <li>TTM Revenue: $1,120</li> <li>August 2026 Profit: $1,090</li> <li>Churn: 0.6% and stable</li> <li>Target Market: Lawyers and legal professionals, with a strong focus on the U.S. legal market</li> <li>Asking Price: $9,130</li> </ul> <p><b>Tech Stack</b></p><p>It is built with Flutter, SQL, and Supabase, with AI capabilities powered through integrations with OpenAI and Gemini APIs. The technology supports the web platform and Android application, and the product is iOS-ready for deployment.</p><p><b>Marketing &amp; Growth</b></p><p>The primary growth channel is digital and social-media marketing, allowing the app to reach its highly targeted legal-professional audience efficiently.</p><p>The biggest opportunity for the buyer is to actively scale digital marketing and paid advertising to increase awareness, acquire more lawyers and law firms, and grow recurring subscription revenue.</p><p>The app has already demonstrated willingness to pay from its target market, including a law firm currently subscribed to the $420/month Premium plan.</p><p><b>Revenue &amp; Profit</b></p><p>The app operates on a subscription-based Micro-SaaS model. Premium monetization generated $1,120 in revenue during August 2026, with approximately $1,090 in profit.</p><p>Current MRR stands at approximately $1,120, providing an existing recurring-revenue base from which a buyer can continue building.</p><p><b>Return on Investment</b></p><p>At the $9,130 asking price, the acquisition represents approximately 1.49× current annualized MRR.</p><p>The buyer is acquiring an already-built Micro-SaaS rather than starting from scratch, with an existing product, technology, brand, applications, infrastructure, and paying customers. The primary upside is expanding customer acquisition through consistent digital marketing and paid advertising.</p><p><b>Startup Assets</b></p><p>The sale includes the complete business asset package, including:</p><ul> <li>The web application</li> <li>The Android application</li> <li>iOS-ready application/codebase</li> <li>Complete source code and codebase</li> <li>Domain and website</li> <li>Brand and branding assets</li> <li>Landing page</li> <li>OpenAI and Gemini API integrations</li> <li>Supabase infrastructure</li> <li>Marketing materials</li> <li>Social media accounts</li> <li>Existing business infrastructure</li> <li>Customer-related assets and data, subject to applicable laws and transfer requirements.</li> </ul> <p><b>Risks</b></p><p>The primary risk is slowing or stopping digital and social-media marketing, which could reduce the pace of new customer acquisition.</p><p>The recommended strategy for the buyer is to maintain consistent digital marketing and actively run targeted paid advertising campaigns toward lawyers and law firms. With an established product and subscription infrastructure already in place, continued marketing provides a clear avenue for expanding the customer base and recurring revenue.</p><p><b>Summary</b></p><p>It is a ready-built legal Micro-SaaS with existing recurring revenue, paying legal customers, an established technology stack, web and Android applications, and a highly targeted market.</p><p>At $9,130, the buyer gets the complete operating foundation and can focus on what remains the biggest opportunity: scaling customer acquisition, subscriptions, and recurring revenue through digital marketing and paid advertising.</p><p>✅ $1,826 TTM revenue</p><p>✅ 15 customers</p><p>✅ Business model: Micro-SaaS</p><p>✅ Built with Flutter, Supabase, OpenAI</p>