An inaccurate lease abstract is worse than no abstract at all. No abstract means someone still has to read the lease. A wrong abstract means someone reads a confident-looking summary, trusts it, and builds a rent roll, a budget, or a Voyager setup on top of a number that was never actually verified against the source document. The whole value of abstraction depends on the QA step nobody sees — and most QA processes check far less than they should.
Here's what a real one catches.
Every material value traced to a specific page
"Material" is doing real work in that sentence. A QA process worth trusting doesn't just confirm that a rent figure appears somewhere in the abstract — it confirms that figure against the exact page of the source document it came from, for every field that actually matters to how the lease gets used: base rent, escalation steps, term dates, security deposit, and every option's trigger date and window. A number without a page citation is a number you have to re-verify yourself before you can act on it, which defeats the point of having an abstract at all.
Amendments checked for consistency, not just captured
Multi-amendment leases are where accuracy problems hide. It's not enough to extract values from the original lease and then separately extract values from each amendment — a real QA pass checks whether the amendments agree with each other and with the original on the terms they touch, and flags it when they don't. A later amendment that changes the term length but never updates a referenced expiration date elsewhere in the document set is exactly the kind of internal contradiction that a page-by-page extraction can miss if nothing is cross-checking the full document set against itself.
Ambiguous provisions flagged, not silently resolved
Real leases contain genuinely ambiguous language — CAM provisions that don't clearly specify a base year, an option clause with a notice period that could be read two ways. A weak QA process resolves the ambiguity itself and hands you a clean-looking single answer, which is worse than no answer, because it hides the judgment call from the person who actually needs to make it. A real QA pass surfaces the ambiguity explicitly, states what the document does and doesn't clearly establish, and leaves the decision with a human who can weigh in with the rest of the deal context. Vendor-selection guidance for lease abstraction consistently comes back to this exact question — how a vendor's process handles CAM terms and other ambiguous provisions — because it's one of the clearest signals of whether the underlying process is actually careful.
Dates cross-checked against each other
Commencement, expiry, rent-commencement, and option-notice dates all have logical relationships to each other — an expiry date has to fall after a commencement date, a notice deadline has to fall before the date it's giving notice for. A QA pass that checks each date only against its own source page, without checking the dates against each other, will happily pass through an internally impossible lease record. This is a cheap check to run and a common one to skip.
Assumptions labeled as assumptions, with a stated basis
Sometimes a material field genuinely isn't stated anywhere in the source document — a commencement date implied rather than stated outright, for instance. The wrong response is silently inventing a plausible value. The right response is proposing a reasoned default with the basis stated explicitly (a commencement date inferred from the lease's execution date, for example), scored at meaningfully lower confidence than a value that was directly extracted, and left for a human reviewer to accept or reject. An abstract that can't tell you which of its fields were actually stated in the document and which were inferred isn't giving you enough information to know how much to trust it.
What a good vendor-question list actually tests
Industry guidance on choosing a lease abstraction vendor keeps landing on the same handful of questions, and they're worth asking directly: how are CAM and recovery provisions specifically handled, what's the abstractor's background and review process, and — the one that matters most here — what happens when a provision is genuinely ambiguous or a document set is internally inconsistent. A vendor that can't describe a concrete process for that last question is telling you they haven't hit it yet, which on any real portfolio is only a matter of time.
How PropETL's QA pass actually works
Every abstract goes through AI extraction against the merged document set — original lease, amendments, riders, and side letters together — followed by an automated QA pass that re-reads the source pages and verifies each extracted field independently, citing the page number(s) that support it. Each field carries a confidence score reflecting how directly it was supported by the source text, and where a material field required an assumption rather than a direct read, that's flagged explicitly with the reasoning behind it and scored accordingly lower. A human specialist reviews the flagged items and signs off before anything is delivered — the AI pass narrows the review to what actually needs a person's judgment, instead of asking someone to re-read the entire lease from scratch.
That's the process behind PropETL's lease abstraction service — the discipline described above isn't a wish list, it's what the pipeline actually runs on every document. If you want to see it against your own leases, send us one and we'll return a finished, QA-verified abstract as a free sample round before you commit to anything. Get in touch about lease abstraction.