If you’ve ever rented in the US, you’ve probably done this: You receive the lease… scroll quickly… and think: “Looks standard.” That assumption can be expensive. ⚠️ The problem nobody talks about Lease agreements often include things that aren’t obvious: hidden or loosely defined fees penalties buried in legal wording automatic renewal clauses conditions that only matter later And even if you read everything… understanding the implications isn’t trivial. Legal language isn’t designed to be easy. 💡 So I built something to fix that I created GoLeazly → https://goleazly.com The goal is simple: 👉 Upload your lease 👉 Get a clear, structured breakdown of what actually matters Instead of generic AI output, it gives you: risky clauses highlighted potential hidden costs key dates and obligations a plain-English explanation of your lease Basically, it helps you understand what you’re signing before it’s too late. ⚙️ The technical challenges behind it Parsing real-world PDFs is painful Leases are not clean documents. You’ll find: scanned PDFs broken formatting inconsistent layouts multi-page contracts with no structure So this wasn’t just “extract text”. It required: handling OCR scenarios chunking long documents reconstructing context from messy data Extracting ≠ understanding Getting text is easy. Understanding: what’s risky what’s normal what could cost money …is the real challenge. You need to filter noise and highlight only what matters. Avoiding “AI dump” UX One thing I didn’t want: A long wall of AI text. So the output is structured like a report: sections labeled findings actionable insights More clarity, less fluff. Scaling the cost of analysis Initially I ran the full analysis before payment. That didn’t scale. Now the flow is: Upload → preview Pay → run full analysis This keeps things efficient and sustainable. 🚀 What GoLeazly does today If you're about to sign a lease, you can: 👉 Upload it on https://goleazly.com 👉 See if there are risks, fees or unclear clauses 👉 Understand what you're actually agreeing to All in minutes. 🧠 Why this matters Most people don’t have a lawyer reviewing their lease. But the contract was likely written with legal expertise. That imbalance matters. 💰 One small check can save a lot later Signing blindly is risky. Understanding first is smarter. 🔗 Try it 👉 https://goleazly.com Would love feedback from: devs working with document parsing people in real estate / legal anyone who has signed a lease in the US 🧠 Final thought The hardest part wasn’t building the AI. It was deciding what information actually helps someone avoid a bad decision.