Lease Data Workflows

DocuSign

Executed leases from DocuSign arrive as PDFs.

Saves 4–8 hours per lease

Yardi Voyager

Entering a new lease into Yardi Voyager from a PDF requires manually reading every clause and keying dozens of fields — a process that takes 2–4 hours per lease and introduces transcription errors that affect rent billing, CAM reconciliation, and reporting accuracy downstream.

Saves 2–4 hours per lease

QuickBooks

Small commercial landlords using QuickBooks need to track lease payment schedules, security deposits, and CAM charges — but QuickBooks requires manual entry from the lease PDF.

Saves 2–3 hours per lease

MRI Software

Entering lease data into MRI Software from PDFs requires manually locating and keying every field — rent amounts, escalation schedules, CAM provisions, and critical dates — across a document that may span dozens of pages and multiple exhibits.

Saves 2–4 hours per lease

AppFolio

Property managers using AppFolio for mixed-use or small commercial portfolios must manually enter lease terms from PDFs into each tenant record — a process that is slow, inconsistent across staff, and a source of billing errors when rent schedules are mis-entered.

Saves 1–3 hours per lease

NetSuite

Companies using NetSuite for lease accounting under ASC 842 need accurate lease data entered before generating right-of-use asset calculations.

Saves 2–4 hours per lease

Microsoft Excel

Commercial lease data is locked in PDFs — there is no native way to get structured, field-by-field data into Excel without hours of manual copy-paste or abstraction.

Saves 3–6 hours per lease

Airtable

Tenant representatives and small operations teams use Airtable to track lease portfolios but have no structured way to get lease data out of PDFs and into an Airtable base.

Saves 2–4 hours per lease setup

Google Sheets

Small property managers and tenant representatives use Google Sheets to track leases but must manually copy data from PDFs field by field.

Saves 2–4 hours per lease

Visual Lease

ASC 842 requires companies to recognize right-of-use assets and lease liabilities on the balance sheet.

Saves 4–8 hours per lease for initial adoption

Microsoft Excel

Preparing for CAM reconciliation requires knowing each tenant's pro-rata share, CAM cap provisions, exclusion lists, and base year — all buried in lease documents.

Saves 2–4 hours per property annually

Microsoft Excel

Auditing landlord operating expense charges requires knowing your exact lease rights: what is included in CAM, what is excluded, your pro-rata share, your cap provisions, and your audit rights window.

Saves 2–4 hours per lease audit setup

Microsoft Excel

As leases are amended and lease administration systems change, the lease database can drift from the executed documents.

Saves 2–4 hours per lease for verification

Microsoft Excel

Landlords must track that each tenant carries the insurance coverage required by their lease.

Saves 1–2 hours per property for initial setup

ARGUS Enterprise

ARGUS cash flow models require precise lease inputs — errors in rent schedules, escalation terms, or option data directly affect valuation.

Saves 3–6 hours per property for due diligence

Microsoft Excel

Sellers provide rent rolls that may not accurately reflect executed lease terms — rents may be overstated, expiration dates may be wrong, and option terms may be omitted.

Saves 1–2 hours per property for verification

Microsoft Excel

Missing a lease expiration or option notice deadline can mean losing renewal rights or being locked into unfavorable holdover terms.

Saves 1–2 hours per lease initial setup

Microsoft Excel

Building a forward-looking rent schedule requires extracting each escalation trigger, rate, and effective date from the lease — data that is often spread across multiple sections and exhibits.

Saves 1–3 hours per lease

Microsoft Excel

Preparing estoppel certificates requires quickly pulling the key terms from the executed lease — tenant name, premise, rent, term, and option status — to confirm against the tenant's representations.

Saves 1–2 hours per tenant

Microsoft Excel

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.

Saves 3–5 hours per property for underwriting

Microsoft Excel

During an acquisition, a data room may contain 20–100 lease PDFs that all need to be abstracted and verified before LOI or contract signing.

Saves 4–8 hours per property in due diligence

Microsoft Excel

After a lease is executed, attorneys and tenant reps need to verify that the final lease terms match the agreed LOI — any deviations in rent, term, tenant improvements, or option rights need to be identified and reviewed before the tenant takes occupancy.

Saves 2–3 hours per lease review

Microsoft Excel

Comparing your in-place lease rents against CompStak market comp data requires first extracting your lease economics into a structured format.

Saves 2–3 hours per property for market analysis

Microsoft Excel

Asset managers need to compare their in-place rents against CoStar asking rents to identify below-market and above-market leases for hold/sell and renewal strategy.

Saves 2–3 hours per property for market analysis

Microsoft Excel

Investor reports require a current rent roll and lease schedule showing tenant names, rents, expirations, and option status.

Saves 4–8 hours per reporting cycle

Microsoft Excel

Building a lease roll from a set of PDF lease documents requires extracting tenant name, premises, rent, term, and options from each document and assembling them into a single spreadsheet.

Saves 3–6 hours per property vs. manual abstraction

Yardi Voyager

Migrating lease data from spreadsheets or a legacy property management system to Yardi requires systematically re-abstracting every active lease to populate the new system accurately.

Saves Reduces migration timeline by 60–80% vs. manual abstraction

Microsoft Excel

Many portfolios operate with paper or scanned leases that have never been digitized into structured data.

Saves Reduces total abstraction time by 85% vs. manual

SharePoint

Enterprise teams storing lease PDFs in SharePoint have no systematic way to extract the structured data from those documents into usable formats for reporting.

Saves 3–6 hours per lease extracted

Google Drive

Small property management operations often store lease PDFs in Google Drive folders with no systematic data extraction.

Saves 2–4 hours per lease