AI Lease Abstraction Accuracy: Benchmarks and What to Expect
What accuracy can you realistically expect from AI lease abstraction tools? We break down field-level accuracy rates, where AI excels, where it struggles, and how to validate output.
A lease clause that adjusts variable operating expenses to reflect what they would have been at a specified occupancy level — typically 95% — preventing tenants from benefiting from artificially low costs during periods of high vacancy.
Without a gross-up provision, a tenant in a half-empty building might enjoy low operating expense pass-throughs, only to face sharp increases once the building fills up. The gross-up normalizes variable costs like cleaning, utilities, and management fees to a full-occupancy baseline. Fixed costs such as property taxes and insurance are not typically grossed up. Tenants should confirm the gross-up percentage (commonly 95% or 100%) and which expense categories are subject to the adjustment when reviewing lease abstracts.
Lextract extracts these fields directly from your lease PDF:
What accuracy can you realistically expect from AI lease abstraction tools? We break down field-level accuracy rates, where AI excels, where it struggles, and how to validate output.
Compare the top AI lease abstraction tools for commercial real estate in 2026. We review Lextract, Prophia, Kolena, Leasecake, MRI Software, and more — with pricing, accuracy, and use-case guidance.
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