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 average rent per square foot over the full lease term after accounting for all concessions such as free rent, rent abatement, and tenant improvement allowances amortized over the term.
Net effective rent enables apples-to-apples comparison of lease deals with different concession structures. To calculate it, spread the total rent payable over the lease term (after deducting the value of concessions) over the total square footage and term months. For example, a 5-year deal at $30/sf/year with 6 months free rent has a net effective rent of $27/sf/year. Landlords typically advertise "asking rent" (face rent), while tenants focus on net effective rent for budgeting. Lease abstracts should capture all components needed to compute this figure accurately.
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.
Free AI lease abstraction tools are fast and easy — but they have real limitations. Here is what free tools deliver, what they miss, and when you need structured output instead.
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