Real Estate Lease Abstraction Agent

A CRE firm managing 50 properties re-abstracts leases annually and for every acquisition. Each lease: 40-100 pages with base rent escalations, CAM formulas, percentage rent, co-tenancy, exclusive use, options, and expense caps. 4-8 hours per lease for a trained abstractor.

Prophia and LeaseLens parse 200+ variables in minutes with 85-95% time reduction. MRI/Leverton handles institutional scale. The technology works — the challenge is complex provisions: "proportionate share of increases over the base year" has different implications depending on the base year definition 40 pages later.

For acquisitions, abstraction accuracy directly impacts underwriting. A missed co-tenancy clause or incorrect escalation schedule changes projected NOI.

The agent processes commercial leases extracting 200+ variables: rent (base, escalations, percentage, CPI), operating expenses (CAM structure, base year, caps, exclusions), options (renewal, expansion, termination), use restrictions (permitted, exclusive, co-tenancy), and dates (commencement, expiration, option exercise deadlines).

Handles cross-reference resolution: a rent escalation referencing "the CPI adjustment in Section 4.2(b)" is resolved by reading that section and extracting the actual mechanism. Defined terms resolved to their definitions throughout.

Output feeds into MRI, Yardi, or VTS. Financial provisions modeled into projected cash flows: base rent + escalations + percentage rent - abatements = projected gross rent by period. Confidence scores per field — high auto-populates, low flagged for verification.