Lease Abstraction Engine
A document-AI pipeline that extracts the canonical commercial-lease terms (commencement, term, base rent, escalation structure, option periods, expense pass-through structure, exclusions, default triggers, transfer restrictions) into a structured database — with confidence scoring, review queue, and audit trail back to source.
- Engagement
- 6–10 week build · ongoing operation
- Built for
- Lease administration teams · Asset managers · Acquisitions teams
Commercial leases run 50–200 pages with 100+ extractable terms. Lease administration teams transcribe them into the lease abstract by hand, with the per-lease entry taking 4–8 hours of senior-analyst time and error rates that show up in rent-escalation cycles years later.
What this is
A lease abstraction platform for operators with portfolios where the lease-administration workload scales linearly with portfolio size — and where the cost of an abstraction error (missed escalation, missed option deadline) shows up years later in lost revenue.
Three layers:
- Document ingestion. Lease PDFs, amendments, side letters — single-document or bulk-upload. Per-jurisdiction template recognition.
- Extraction. 100+ canonical terms extracted with per-field confidence. Standard commercial-lease structure plus the long tail of non-standard provisions.
- Operator surface. Lease abstract database with structured search, review queue for low-confidence fields, audit trail back to source PDFs.
How it's built
LayoutLM-class document AI for the structured fields, dedicated clause-extraction models (BERT-class fine-tuned on commercial-lease corpus) for the legal-language fields, rule-based post-processing for the cross-field consistency (e.g., commencement + term must produce expiration). Integration with lease-administration platforms (Yardi, MRI, AppFolio) for posting.
What you get
- The lease abstraction pipeline running against your document corpus.
- The structured lease database with audit trail.
- Review-queue UI for the lease administration team.
- Amendment-diff workflow.
- Integration into your lease-admin platform of choice.
Engagement is shape, not list.
Length and price are functions of the data and the destination. The shape below is the typical engagement.
- Length
- 6–10 week build · ongoing operation
- Lead
- Bogdan
- Cadence
- Async, weekly
- Bar
- Production
Scoped during the discovery call against the actual data and the operation it integrates with.
Principal engineer. Architecture and most code ships through one keyboard.
Written updates between, calls when the decision needs the room.
Async correctness, capacity under burst, observability at every boundary.
Products this composes with.
Same suite, or vertical-specialized versions in another.
What buyers ask about this one.
How is this different from LeaseLense, Trullion, or VTS lease abstraction?
Those are mature products and handle the standard cases well — typical retail and office leases. This product is differentiated for the harder cases: industrial leases with complex expense pass-throughs, mixed-use leases with multiple use categories, ground leases with non-standard structures. Where the standard products handle the common patterns, ours handles the long tail. Many operators use both.
What's the extraction accuracy?
On standard commercial leases, 92–96% of fields extracted at high confidence. Standard fields (commencement, term, base rent, escalation type) hit higher; complex fields (expense exclusion language, non-standard option terms) hit lower with explicit confidence flags. The review queue handles the low-confidence cases.
Can it handle amendments and side letters?
Yes — amendment processing is the harder case. When an amendment arrives for an already-abstracted lease, the engine produces a diff highlighting which terms changed, with the prior version preserved in the audit history. The lease admin team confirms before posting.
What about non-English leases?
US-English at launch. UK-English supported. Other languages and jurisdictions per-engagement, with explicit caveats about per-jurisdiction term-extraction calibration.
Pricing?
Scoped to lease volume and lease-complexity profile. Discovery call covers both.
If the deliverable matches the gap, the next step is one call.
We'll scope length and price against your data and the operation it integrates with. No retainer, no fishing.
Bogdan and team · async-first · OP—2026