Document-aware extraction
Process executed leases, scans, amendments, extensions, and modifications.
LEASE AI WITH OWNER VERIFICATION
AI commercial lease abstraction built for operating decisions
Extract rent, CAM, fees, options, responsibilities, contacts, and dates from leases, amendments, and extensions—with source context and human approval.
- 15-day free trial
- No credit card required
Lease abstract · Northline Dental · Suite 101
NNN lease, verified from the signed document
Base rent$8,420 / mo p. 3
Next rent step$8,673 · Oct 1, 2027 p. 3
CAM methodPro rata by sq ft p. 6
Pro rata share8.5% p. 6
Extracted from Lease.pdf · You approve every field before it’s used
Illustrative product view · fictional demo property
How TenantPoint handles it
Four parts of lease abstraction, one connected record.
Verification workflow
Review critical terms before they create a tenant, schedule, fee, or rule.
Operating clauses
Capture maintenance, HVAC, utilities, insurance, repairs, and notice obligations.
Connected output
Use verified terms in rent rolls, collections, CAM, alerts, and reports.
The outcome
Turn documents into a usable tenant record instead of another PDF sitting in a folder.
01 / 03
Extraction is the beginning, not the finished product
A commercial lease abstract is valuable only when the information becomes operational. TenantPoint presents extracted fields for verification and then uses the approved terms to configure the tenant record.
02 / 03
Handle document history, not just one PDF
An amendment may replace a rent schedule, extend the term, modify CAM, or change an option. The long-term intelligence layer must preserve document order, identify conflicts, and show which provision currently controls.
- Original lease and commencement documents
- Assignments and assumptions
- Extensions and renewal exercises
- Rent or CAM amendments
- Estoppels and notice correspondence
03 / 03
Keep human judgment in the workflow
AI can accelerate review but should not silently assess a fee, charge a tenant, or interpret ambiguous legal language as final. Confidence warnings, source references, and explicit owner approval make the extracted record useful without pretending the model is infallible.
Start with your first property