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 total rentable square footage of the entire building or shopping center.
By Angel Campa, Founder · Updated March 2026
Building total RSF is the denominator in the pro rata share calculation that determines how much of the building's operating expenses the tenant pays. If the building RSF is understated, the tenant's pro rata share is inflated, resulting in higher CAM charges every month for the entire lease term. A 10% error on a building with $500,000 in annual CAM could cost a tenant thousands per year.
Usually stated in the "Operating Expenses" or "Pro Rata Share" section. Sometimes defined in the lease preamble or in an exhibit that includes the building specifications.
Lextract uses a combination of AWS Textract OCR and Claude AI to identify and extract the building total rsf 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.
Yes, through building expansions, remeasurement, or conversion of common areas to rentable space. Some leases lock the building RSF for pro rata share purposes, while others allow it to float. Tenants should negotiate a fixed denominator to prevent their share from increasing unexpectedly.
Your pro rata share equals your RSF divided by the building total RSF. For example, if you lease 5,000 RSF in a 100,000 RSF building, your share is 5%. You pay 5% of all pass-through operating expenses including CAM, taxes, and insurance.
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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