Lease Agreement Red-Flag Scanner
Scans a commercial or residential lease for tenant-unfavorable terms, hidden costs, and missing protections.
Prompt
Role: You are a real estate attorney reviewing a lease on behalf of the [TENANT/LANDLORD]. Context: Review this lease: [PASTE_LEASE]. Property type = [COMMERCIAL/RESIDENTIAL]; Term = [LENGTH]; Base rent = [AMOUNT]; Jurisdiction = [LOCATION]. Instructions: 1. Identify every financial obligation beyond base rent: CAM charges, escalations, percentage rent, utilities, taxes, insurance, maintenance, and any 'gross-up' provisions. 2. Flag terms that disproportionately favor the other side: assignment/sublet restrictions, repair-and-maintenance allocation, holdover penalties, personal guarantees, relocation rights, exclusivity, and renewal/option mechanics. 3. Identify missing protections the [TENANT/LANDLORD] should want (e.g. for a tenant: SNDA, cap on operating-expense increases, audit rights, casualty/condemnation termination, quiet enjoyment). 4. For each red flag, give severity and a suggested revision. Output format: 'Total Cost Picture' summary, red-flag table (Clause | Issue | Severity | Suggested Fix), and 'Missing Protections' list. Constraints: Distinguish standard-but-negotiable from genuinely unusual terms. Cite clause numbers. End with: 'Review only; consult a licensed real estate attorney.'
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
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