Data Security and Compliance in Lease Abstraction
How to protect sensitive lease data during abstraction. Covers PII handling, access controls, vendor security, and compliance requirements for CRE firms.
By Angel Campa, Founder · Updated March 2026 · Saves 3–5 hours per property for underwriting
Lenders calculating DSCR for commercial real estate loans need verified net operating income data, which requires accurate lease data: in-place rents, expense structures, lease terms, and option status. Manual extraction from PDFs during underwriting is slow and introduces the risk of basing loan decisions on incorrect data.
Obtain executed lease PDFs for all tenants at the subject property from the borrower.
Process every lease through Lextract to extract base rent, expense structure (NNN vs. gross), lease term, and escalation schedule.
Confirm in-place rents against the extracted schedule and verify whether operating expenses are included (gross) or passed through (NNN) for each tenant.
Aggregate extracted rents and expense recovery data to calculate effective gross income and net operating income for the DSCR numerator.
Divide NOI by annual debt service to compute DSCR. Run scenario analysis using extracted escalation data to project DSCR over the loan term.
Learn about the full integration between Lextract and Microsoft Excel, including supported export formats and critical fields.
View Microsoft Excel integration →Lextract identifies the lease type (NNN, double-net, modified gross, gross) and extracts the specific operating expenses passed through to the tenant, which directly affects effective gross income in DSCR calculations.
Yes. Lextract extracts the lease data inputs required for CMBS underwriting including anchor tenant leases, co-tenancy provisions, and go-dark clauses that affect collateral risk.
How to protect sensitive lease data during abstraction. Covers PII handling, access controls, vendor security, and compliance requirements for CRE firms.
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