Abstraction turnaround time is the total elapsed time from when a lease is submitted for abstraction to when its verified structured data is ready to use. It spans extraction and human review, not machine reading alone, so it measures how fast a lease becomes trustworthy data rather than how fast a model reads a page.
What Is Abstraction Turnaround Time?
Abstraction turnaround time is a wall-clock measure of the whole abstraction pipeline: intake, extraction, and the review that makes the output usable. It is distinct from raw processing speed, which counts only the model's read. Turnaround counts everything that stands between a submitted document and a verified record.
The two stages sit at very different scales. Lextract reports manual abstraction runs 2 to 4 hours per lease plus 30 to 60 minutes of senior review, while AI abstraction returns a first pass in about 2 to 15 minutes depending on length and complexity. Because verification is where accuracy is confirmed, turnaround time rises or falls mostly on how much of a lease routes to a human, not on how fast the model reads.
Stage | Manual | AI-assisted |
Intake and setup | minutes | minutes |
Extraction | 2 to 4 hours | ~2 to 15 minutes |
Human review | 30 to 60 minutes | 15 to 30 minutes (flagged fields) |
Typical per-lease turnaround | ~2.5 to 5 hours | ~20 to 45 minutes |
Why Abstraction Turnaround Time Matters
Abstraction turnaround time matters because it sets whether a lease stack clears a diligence window and when billing, reconciliation, and critical-date tracking can begin. A slow turnaround pushes an acquisition team past its 30 to 45 day window; a fast one lets asset management act on the data while the deal is live. It is the metric that converts abstraction from a bottleneck into throughput.
The gain is large and measurable. Lextract cites real deployments that cut per-lease review time about 85%, from 2 hours to 17 minutes, by having AI handle routine extraction and reserving human time for red flags and non-standard clauses. The quotable point: abstraction turnaround time is a review metric, not a reading metric, because the human verification step, not model inference, is what usually governs the clock.
Example
A team abstracts a single 40-page lease two ways. The worked figures use Lextract's manual baseline of 2 to 4 hours plus 30 to 60 minutes review, against an AI-assisted pass of roughly 10 minutes extraction plus 20 minutes review of flagged fields.
Component | Manual | AI-assisted |
Extraction | 180 min (3 hr midpoint) | 10 min |
Human review | 45 min | 20 min |
Total turnaround | 225 min (3.75 hr) | 30 min |
Reduction | baseline | ~87% |
Manual turnaround totals 225 minutes, about 3.75 hours: 3 hours reading and templating plus 45 minutes of senior review. The AI-assisted path totals 30 minutes: 10 minutes of extraction plus 20 minutes verifying the flagged fields. That is a roughly 87% reduction, close to the 85% cut Lextract reports from real deployments, and the entire saving comes from replacing full manual reading with targeted review.
Variations and Edge Cases
Abstraction turnaround time varies with document complexity, amendment load, and how the work is measured. Per-lease turnaround and portfolio turnaround are different metrics: a portfolio can process in parallel, so total elapsed time does not scale linearly with lease count. Amendments and non-standard clauses are the main drivers that push a single lease past its expected window.
Variant | Treatment |
Per-lease vs portfolio | A stack processes in parallel, so total turnaround is not lease count times per-lease time |
Amendment load | Layering amendments onto a base lease adds review time |
Non-standard clauses | Custom language routes more fields to a human, lengthening review |
Rush diligence | Tight windows push more staff at the queue rather than changing per-lease time |
First pass vs final | First-pass extraction is fast; verified, usable data is the real endpoint |
Abstraction Turnaround Time vs Processing Speed
Abstraction turnaround time is often confused with processing speed, but they measure different things. Processing speed is how fast a model reads and extracts a document, often seconds to a few minutes. Abstraction turnaround time is the full elapsed time to a verified, usable record, which includes the human review that processing speed ignores.
A model can post a fast processing speed and still yield a slow turnaround if many fields route to review. Turnaround is the metric that matters to an operator, because unverified extraction is not yet data anyone bills or underwrites against. Speed describes the machine; turnaround describes the workflow.
Frequently Asked Questions
What is abstraction turnaround time?Abstraction turnaround time is the total elapsed time from submitting a lease for abstraction to having its verified structured data ready to use. It includes extraction and human review, so it measures how fast a lease becomes trustworthy data, not how fast a model reads a page.
How long does it take to abstract one commercial lease?Manual abstraction runs about 2 to 4 hours per lease plus 30 to 60 minutes of senior review, per Lextract, for roughly 2.5 to 5 hours total. AI-assisted abstraction returns a verified result in about 20 to 45 minutes, with the model extracting and a person reviewing flagged fields.
Is turnaround time the same as processing speed?No. Processing speed measures only how fast a model reads and extracts a document. Abstraction turnaround time measures the full elapsed time to a verified, usable record, including the human review step that governs most of the clock.
Related Terms
Automated Lease Abstraction
Lease Abstract
Lease Abstraction QA
Human-in-the-Loop
Exception Handling