I spent 2 hours reviewing a 30-page contract. Built an AI that does it in 12 minutes.
Three months ago, I was helping my lawyer friend review a partnership agreement. 30 pages of legal jargon. Took us 2 hours to identify the risky clauses and potential issues.
That night, frustrated and caffeinated, I had a thought: "What if AI could spot legal risks instantly?"
The problem: Legal document review is expensive ($200-500/hour) and time-consuming. Small businesses either skip proper review (dangerous) or pay thousands (painful).
What I built: LegalDeep AI - Think "Grammarly for legal contracts"
🎯 What it does:
Scans contracts in seconds, not hours
Identifies risky clauses with 95% accuracy
Provides plain-English risk assessments
Suggests safer alternative language
Works offline (your sensitive docs never leave your device)
📊 Early results:
127 legal professionals in beta
Average review time: 12 minutes vs 2+ hours manually
94% say they'd pay for it
$2.1K MRR after 6 weeks
The twist: I'm not a lawyer. I'm a developer who got tired of expensive legal reviews.
I trained the AI on 10K+ contracts and legal precedents. Built enterprise-grade security (SOC 2 compliant) because lawyers won't use anything less.
What's surprising: The biggest users aren't lawyers - they're small business owners and entrepreneurs who can't afford $300/hour legal reviews.
Ask: Would love your feedback on the concept. What legal documents do you struggle with most?
Try it: legaldeep.ai (It's free during beta - no credit card needed)
Building in public. AMA about AI + legal tech! 🚀
P.S. If you're a lawyer reading this - I'm not trying to replace you. I'm trying to make your job easier and legal protection more accessible to everyone.
#BuildingInPublic #LegalTech #AI #IndieHackers
Congratulations on your launch. It looks impressive! What channels are you exploring to attract early users?
I'm watching Greg Isenberg's and Starter Story by Patt Walls for inspirations and building products.
I saw this reply lately, don't mind.
Both of them share really valuable insights. However, the most significant shift often occurs when transitioning from learning to actually acquiring your first users. This phase typically focuses less on ideas and more on presenting your product to people who are already discussing the problem you aim to solve.
Have you begun testing any channels yet, or are you still mainly exploring options? I've observed that many startups gain early traction from platforms like Reddit when approached correctly. I'm happy to share what that strategy could look like if you're interested.