How accurate is AI lease abstraction?

Good enough to change the workflow, not good enough to skip verification. The design point is that every extracted term links back to the clause it came from, so a human confirms in minutes instead of re-reading forty pages. Anyone selling you unverified lease data is selling you risk.

Do we still need a lease system of record?

You need lease data in a database, and you get one. What you stop needing is a separate per-seat product whose main function is holding data your model should already have.

Can it handle amendments and estoppels?

Yes, and reconciling the amendment chain against the original is one of the more useful things it does. Drift between an original lease and three amendments is where errors hide.

Lease abstraction

Lease abstraction is a solved problem now

Reading a lease and pulling out the terms was hard enough to build a software category around. It is not hard anymore. The tools that charge per seat for it have not caught up.

Typical incumbent spend: $20,000 to $60,000 per year

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Why the category existed

A commercial lease is forty pages of dense language hiding maybe sixty data points that matter: commencement, expiration, base rent and every step, free rent, options and their notice windows, recovery method, expense stops, TI allowance, assignment rights, and the clauses that will surprise you in year four.

Getting those into a system reliably used to require either a trained analyst or an offshore abstraction service. Software that structured the process and stored the output was worth paying for.

What changed

Frontier models read leases well. Not perfectly, and not without verification, but well enough that the extraction step is no longer the expensive part. A tool priced on the assumption that extraction is expensive is priced on an assumption that expired.

The remaining problem was never storage anyway. It was the gap between the lease and the model. Terms get abstracted into a lease system, then somebody retypes them into the cash flow model, and the two drift. Nobody notices until a recovery calculation is wrong or an option deadline passes.

Per-seat pricing makes that worse by limiting who can touch it. The person who should be checking the abstract against the underwriting does not have a seat.

What we build instead

A lease abstraction agent wired into your own software. It reads the executed lease, extracts the terms, and writes them directly into your model through a custom MCP. Same database your analysts work in. No retyping, no drift.

Then the part that earns its keep: it reconciles. The abstract gets compared against what was underwritten, and anything that disagrees gets flagged with the clause it came from. A recovery method that is not what the model assumed. A free rent period longer than pro forma. An option window that nobody diarized.

Your analyst reviews a diff instead of typing a lease. Every extraction is traceable back to the page it came from, so verification takes minutes rather than a second full read.

What you get

01Extraction from executed leases, amendments, and estoppels
02Terms written straight into your cash flow model through custom MCPs
03Reconciliation against underwritten assumptions with disagreements flagged
04Every data point traceable to the clause and page it came from
05Critical date tracking: options, notice windows, expirations
06Portfolio-level rollover and recovery analysis from structured data
07No per-seat license, so everyone who should verify can
08Human sign-off before anything is treated as final

The economics

Dedicated lease tools commonly run $20,000 to $60,000 a year, plus whatever you spend on abstraction services.

A lease abstraction agent is one role on an Agent Team. Two agents run $1,500 a month. A team of up to five runs $3,000 a month. Most firms pair the abstraction agent with the asset management agent, because the same reconciliation discipline applies to the monthly close.

Questions we get asked

How accurate is AI lease abstraction?: Good enough to change the workflow, not good enough to skip verification. The design point is that every extracted term links back to the clause it came from, so a human confirms in minutes instead of re-reading forty pages. Anyone selling you unverified lease data is selling you risk.
Do we still need a lease system of record?: You need lease data in a database, and you get one. What you stop needing is a separate per-seat product whose main function is holding data your model should already have.
Can it handle amendments and estoppels?: Yes, and reconciling the amendment chain against the original is one of the more useful things it does. Drift between an original lease and three amendments is where errors hide.

Other line items we retire

Asset management analyticsReplacing Yardi Elevate. Typically $30,000 to $200,000 per year.

Stop renewing lease abstraction software.

Thirty minutes, no deck. Tell us what your stack costs and what it still does not do, and we will tell you honestly whether we can build you something better.

Schedule a 30-minute call