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Lease abstraction was one of the first real estate workflows that AI touched in a meaningful way, and for good reason. Lease abstraction is by far the largest use case of AI in real estate. In a recent survey, it was reported as being used by 66% of respondents, 20 points more than any other application. The task of reading a commercial lease and pulling out the key economic and operational terms is exactly the kind of repetitive, document-heavy work that AI handles well. For a portfolio of dozens of leases, abstraction by hand is time-consuming but manageable. For a portfolio of hundreds, it is a genuine operational constraint. AI removed that constraint, and the industry moved quickly to adopt it. What is happening now is more ambitious. Organizations are looking past AI-assisted abstraction at the real value that lies in what happens after the important information has been pulled from the document.The challenge for many real estate organizations is not a shortage of AI opportunities. It is an excess of them... RSK: I have used AI to decipher leases for some time now. Works well. Also works well for medical reports on imaging which is full of Rx jargon. | ||
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