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
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.