For real estate teams, retail operators, franchise groups, and commercial property managers who need the key terms extracted from dozens or hundreds of leases without paying a legal services firm to do it by hand.
ContractParser pricing and feature claims verified June 8, 2026. Current rates are always on the pricing page.
Commercial leases are long, inconsistent, and full of details that matter for budgeting, renewal planning, and compliance. A single retail chain might have 200 locations, each with a different lease from a different landlord — different rent schedules, different escalation clauses, different renewal windows, different notice requirements.
The traditional options for turning that pile into structured data:
For a one-time abstraction — during an acquisition, a portfolio review, a refinancing, or a switch to a new lease administration system — none of these fit well. You need structured data from a specific batch of leases, and you need it this week.
Typical lease abstraction pulls these fields:
Some of these are deterministic fields that appear in a specific location in every lease. Others are buried in paragraphs of boilerplate and require actually reading the document to find.
Drag-and-drop your lease PDFs into ContractParser. Pick fields from the common-fields checklist and add any lease-specific fields via custom prompt — for example:
Extract the base rent for each year of the term as a JSON array. Extract the CAM cap if any. Extract the renewal notice deadline and whether missing it forfeits the renewal option.
The AI reads each lease, extracts what you asked for, and returns a table. For critical fields like rent and dates, the Verified tier runs a second AI pass that checks for internal consistency. The audit explicitly checks cross-field arithmetic — does the stated total reconcile with base rent × term, accounting for escalations? Does start + duration match the stated expiration? Are referenced exhibits and schedules actually present? Flags use hedged language and quote the conflicting numbers verbatim.
Opt into source citations on the upload screen and every extracted value comes back with the page number and verbatim quote from the lease that supports it. CSV gets two extra columns per field. On the results page, each cell shows a clickable p.N chip that opens a popover with the supporting text — useful when an investor or counsel wants to verify a specific lease provision without re-reading the document. On Verified, the audit also validates each citation against its value to catch hallucination.
Leases of 30-80 pages are common, and ContractParser handles them natively (single PDFs up to 100 pages and 32 MB). For a portfolio of 200 leases averaging 40 pages each, the job is roughly 8,000 pages — a few minutes of processing and a single CSV export.
The result is a spreadsheet with one row per lease and one column per field. You can sort by expiration date, filter for leases expiring in the next 12 months, group by landlord, or export to your lease administration system.
Because ContractParser shows status categories (Active, Expiring Soon, Expired, Evergreen) at the top of results, the first thing you see when the batch finishes is the high-level answer — how many leases are expiring in the next 90 days — before you dig into individual rows.
ContractParser is pay-per-page. A typical 40-page commercial lease costs $4.00 on Quick ($0.10/page) or $6.00 on Verified ($0.15/page with the audit pass). A 100-lease portfolio at 40 pages average costs $400-$600 all in — compared to $10,000-$50,000 to have a law firm or lease abstraction service do the same work by hand.
No subscription, no implementation, no per-seat fees, no minimum monthly spend. $2.00 minimum per batch. You pay only for the pages that were successfully analyzed.
Documents are deleted within 2 hours of processing. Never used for AI training. Bare-metal US data centers — no cloud middleman, no offshore processing.
Not sure lease work is the right starting point? Our overview of the best contract parsers and document extraction tools places every tool — including ContractParser — at the job it genuinely wins.