Stop Signing Leases You Don't Understand — We Built an AI to Fix That

Stop Signing Leases You Don't Understand

The average apartment lease is 15-30 pages of dense legal text. Most renters spend less than 10 minutes "reading" it before signing — which means millions of people every year agree to terms they've never actually understood.

Hidden fees. Auto-renewal traps. Illegal clauses that wouldn't hold up in court (but scare tenants into compliance anyway). Maintenance responsibilities buried in paragraph 47.

We built LeaseIQ to fix this.

What It Does

Upload your lease PDF. In under 60 seconds, our AI analyzes every clause and gives you:

Tenant Protection Score (0-100) — An at-a-glance rating of how tenant-friendly your lease actually is. Below 50? You need to negotiate before signing.

Red Flag Detection — Unfair clauses, illegal terms (state-specific), hidden fees, and predatory language flagged instantly. Things like:

• Non-refundable "administrative fees" that exceed legal limits
• Clauses requiring tenants to waive habitability rights (illegal in most states)
• Automatic rent escalation with no cap
• Security deposit terms that violate state law

Financial Breakdown — Total cost over the full lease term, including all the fees landlords bury in the fine print. That "$1,800/mo" apartment might actually cost $2,200/mo when you add the parking fee, pet rent, trash fee, and mandatory renter's insurance they specified.

Plain-English Summaries — Every clause translated from legalese to human language. No law degree required.

The Technical Build

Built with Next.js 15 and Groq AI running Llama 3.3 70B for lease analysis. The pipeline:

1. PDF upload → text extraction with structural awareness (sections, paragraphs, numbered clauses)
2. Multi-pass AI analysis: key terms extraction → clause classification → risk scoring → state law comparison
3. Structured output with confidence scores per finding
4. Financial modeling: base rent + all identified fees × lease term = true cost

The interesting engineering challenge was handling the variety of lease formats. Some are clean PDFs from property management software. Others are scanned documents, handwritten amendments stapled to printed templates, or 40-page corporate commercial leases with exhibits. The extraction pipeline has to handle all of them.

Why We Built It

68% of renters have experienced at least one lease dispute according to TransUnion data. Most of these disputes stem from misunderstood terms — the tenant didn't know what they agreed to, and the landlord enforced it anyway.

Previously, the options were:

1. Read 20 pages of legalese yourself (nobody does this)
2. Pay a lawyer $200-500 to review it (too expensive for most renters)
3. Ask Reddit (unreliable, not state-specific)
4. Just sign it and hope for the best (the most common choice)

LeaseIQ costs $9.99/mo with a 14-day free trial and unlimited analyses. Or try 2 free analyses without even signing up.

Try It

Head to leaseiq.site and upload any lease. The demo works immediately — no signup required for your first analysis.

If you're a developer interested in building document analysis tools, happy to discuss the PDF parsing and structured extraction approach in the comments.