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 specific identifier for the tenant's space within a multi-tenant building.
By Angel Campa, Founder · Updated March 2026
In multi-tenant buildings, the suite number is the only way to pinpoint which physical space is subject to the lease. Errors here can lead to disputes about which unit the tenant actually controls, particularly when floor plans change or suites are renumbered during a building renovation.
Found alongside the premises address in the preamble or "Demised Premises" section. Also referenced on the floor plan exhibit and in the rent schedule.
Lextract uses a combination of AWS Textract OCR and Claude AI to identify and extract the suite/unit number 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.
Rentable Area (RSF)
The total area for which the tenant pays rent, including common area allocations.
Usable Area (USF)
The exact private physical space occupied by the tenant.
Building owners sometimes renumber suites during renovations. The lease should include language allowing administrative updates to the suite number without requiring a formal amendment, though best practice is to confirm the change in a letter agreement.
Single-tenant buildings or freestanding retail properties may not have a suite number. In multi-tenant properties, however, the suite number is essential for distinguishing the demised premises from other occupied spaces.
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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