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.
The exact private physical space occupied by the tenant.
By Angel Campa, Founder · Updated March 2026
USF determines how much space the tenant can actually use for operations, including desk counts, inventory storage, and equipment placement. Comparing USF across proposals reveals which building offers the most efficient space for the money, since two buildings with identical RSF can have very different usable areas depending on their load factors.
Listed in the "Premises" section near the RSF figure. Sometimes only stated in a measurement exhibit or BOMA certification. In some leases, only RSF is provided and USF must be calculated using the load factor.
Lextract uses a combination of AWS Textract OCR and Claude AI to identify and extract the usable area (usf) from your lease PDF. The AI searches for all pages of the document, then assigns a confidence score based on OCR quality and extraction certainty. Fields with lower confidence are flagged for human review.
Landlord Name
The legal corporate name of the landlord/lessor.
Tenant Name
The legal corporate entity leasing the premises.
Guarantor Name
The entity or individual providing financial backing for the tenant.
Premises Address
The full physical address of the leased space.
Suite/Unit Number
The specific identifier for the tenant's space within a multi-tenant building.
Rentable Area (RSF)
The total area for which the tenant pays rent, including common area allocations.
Landlords prefer to emphasize RSF because it is the billing basis. If USF is not stated, you can estimate it by dividing RSF by one plus the load factor. For example, 10,000 RSF with a 15% load factor implies approximately 8,696 USF.
USF is measured to the interior faces of the tenant's walls following BOMA standards. It includes private offices, open work areas, and storage rooms but excludes shared corridors, elevator shafts, mechanical rooms, and restrooms.
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.
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Upload your lease PDF and Lextract will extract usable area (usf) along with 98 other structured fields in minutes. Just $20 per lease.
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