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 fraction of total building operating expenses allocated to a specific tenant, calculated as the tenant's rentable square footage divided by the total rentable area of the building or project.
Pro-rata share determines how much of the building's shared costs — taxes, insurance, maintenance, management — each tenant pays. For example, a tenant occupying 5,000 of a 50,000 square foot building has a 10% pro-rata share. The denominator matters: if the landlord uses gross building area rather than occupied space, tenants may pay for vacant space. Some leases use a "project" denominator that includes multiple buildings, which can increase costs. Tenants should audit the denominator annually and confirm it matches the lease definition, particularly after expansions, contractions, or new tenants joining the building.
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.
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