WHO THIS IS FOR
When reviewing new properties, missing lease details lead to wrong projections. Structured lease data helps your team verify rent rolls, escalation clauses, and risks quickly so investment decisions are based on facts, not assumptions.
Renewals, rent revisions, and compliance dates are easy to miss when leases are tracked manually. A centralized system keeps every deadline visible so property teams avoid penalties, tenant disputes, and revenue loss.
During migration to platforms like Yardi, MRI, or custom PMS/ERP systems, bad lease data causes delays and reconciliation issues. Clean, standardized lease information ensures smoother onboarding, fewer corrections, and accurate reporting from day one.
Net-lease structures are complex, especially with CAM charges, tax recoveries, and insurance clauses. Organized lease abstraction helps operators track responsibilities clearly, reconcile charges faster, and maintain accurate billing across tenants.
Field Coverage Designed for Net-Lease and
Multi-Tenant Portfolios
A structured, low-risk lease abstraction process
Portfolio Intake Setup
Document Digitization & Standardization
AI-Driven Lease Extraction
Human QA & Exception Handling
Client Review & Confirmation
Structured Delivery & System Integration
What makes lease abstraction succeed
(and where portfolios struggle)
Questions
& Answers
Amendments and exhibits are fully indexed and reviewed as part of the abstraction process. We apply changes from amendments directly to the affected lease fields and maintain a clear, source-linked trail so you can see exactly where updates came from. Nothing is ignored or assumed.
We combine AI-powered extraction with structured human QA to ensure reliability. When lease language is unclear, missing, or conflicting, we flag it in an exception log rather than guessing. This ensures your team reviews ambiguities instead of inheriting silent errors.
Yes. If you already have an internal abstract template or a defined field list, we’ll align our extraction model to your structure. Outputs can match your format so they’re ready for immediate use within your reporting or asset management workflows.
Turnaround depends on lease volume, document complexity, and field requirements. During onboarding, we define scope, batch size, and SLAs so expectations are clear before processing begins. Pilot batches can typically be delivered quickly to validate the structure and output format.
Yes. Net-lease provisions, including CAM responsibilities, caps, tax allocations, and insurance obligations,s are core fields within our abstraction model. We’re structured to handle commercial and NNN-heavy portfolios.

