Lease abstraction as data work, not reading.

A source-grounded workspace for commercial real estate teams: abstract lease portfolios, audit compliance, normalize fields across hundreds of agreements.

No credit card. Portfolio-ready from day one.

A lease portfolio assembling into a normalized abstraction spreadsheet

200 leases in, one normalized table out.

Drop a folder of lease agreements. Run the Data Extractor with your standard schema: base rent, renewal terms, exclusive uses, CAM provisions, assignment language. Get a spreadsheet you'd hand to a portfolio analyst. Every cell cited back to the page.

Sample lease abstraction table with normalized fields cited back to source pages

Lease abstraction is a database problem dressed up as reading.

Every lease has the same structural information. Every portfolio analyst spends their week extracting it into the same template. The reading isn't the work. Building the table is the work. Until now you had to read to fill the table.

Workflows portfolio teams ship

Built for how leases actually flow.

Lease Base rent Renewal CAM
Maple Plaza $42/sf 2×5yr 3%
Oak Tower $38/sf 1×10yr 5%
Pine Center $51/sf 3×5yr 4%
Elm Retail $36/sf 2×5yr
Abstraction.xlsx

Data Extractor with your schema

Define your firm's standard abstraction template once. Run it across hundreds of leases. Get a normalized table, cited back to source, ready for portfolio analytics.

Maple Plaza Oak Tower Pine Center Elm Retail Cedar Mall Birch Park
3 of 6 match

Smart Search & Selection for portfolio compliance

Describe a compliance check ("Leases with insurance escalation clauses", "Leases with exclusive-use restrictions") and pull the matching set in seconds. Audit the portfolio without opening each lease.

Audit vs preferred form Form
Assignment
CAM cap off-market
Exclusive use
Insurance escalation missing
Renewal option
2 deviations flagged

Blueprint against gold-standard

Audit new leases against your firm's preferred form. Flag deviations, missing protective clauses, off-market terms before signature.

What portfolio teams push on hardest.

  • Abstraction is only useful if it's consistent across 500 leases.

    Same schema runs across the whole portfolio. Same extraction rules, same normalization, same output shape. Consistency is automatic.

  • Some of our leases are 30-year-old scans with handwritten amendments.

    OCR runs automatically on scanned documents. Mixed-format datasets handled: clean PDFs, scanned originals, Word amendments, all indexed into the same dataset.

  • Tenant and landlord data can't leak across customers.

    Per-tenant isolation. No training on customer content. Your portfolio stays yours.

Abstract your next acquisition's leases in an afternoon.

Upload the leases from your next deal. Run the Data Extractor with your standard schema. Compare what comes back to your team's manual abstraction.