Read → Extract Terms → Structure → Flag Gaps → Review

Lease Abstraction Agent

Reads a lease document and pulls the terms that drive billing and obligations - base rent, escalations, option windows, expense responsibilities - into structured fields your team can review against the source.

The Problem

A 40-page lease, retyped by hand. One wrong number bills wrong.

Key lease terms are manually retyped. Data entry errors cause billing mistakes and missed obligations.

What Changes

Key terms extracted. Your team reviews, doesn’t retype.

Reads the lease document and extracts key terms - rent, escalations, options, expense responsibilities - into structured fields. Your team reviews the extraction instead of retyping a 40-page document.

Humans stay in control: Your lease admin reviews every extracted field against the document. The agent does the reading and the structuring. It produces a draft abstract, your team confirms it.

HOW THE AGENT WORKS

TRIGGERLLMAPIDECISIONACTIONWAIT
TRIGGERLease UploadedNew lease PDF added to the system
LLMRead DocumentLLM parses the full lease text
LLMExtract TermsPull rent, dates, options, expenses
APIPull Unit RecordGet the matching unit/tenant in PMS
DECISIONAll Fields Found?
LLMFlag GapsMark terms not found or ambiguous
ACTIONDraft AbstractWrite structured fields for review
ACTIONFlag for ReviewSend abstract to lease admin
The agent doesn't interpret the lease or make a legal call. It pulls the terms into structured fields. Your team reviews the extraction against the document. The agent removes the retyping, not the review.

HOW TO BUILD IT

Three levels of depth. Pick the one that matches where you are.

For the ops person who needs to understand what's involved and brief their team.

Your LeasesPDF documents
The AgentWorkflow engine + LLM
Your PMSUnits, tenants, lease data

WHAT YOUR TEAM PROVIDES ONCE

  • Lease documents - the PDFs the agent reads
  • Your abstract template - the exact fields you track
  • Term definitions - what counts as an escalation, option, pass-through
  • Unit / tenant records - so abstracts attach to the right lease
  • Sample abstracts - a few correctly built ones as a guide
What happens day-to-day: A lease gets signed and uploaded. The agent reads it and drafts the abstract - rent, escalations, options, expense terms - into your fields. Your lease admin reviews against the document instead of retyping forty pages, and flags anything the agent marked uncertain.

For the IT person or technical lead who needs to scope the integration.

INQUIRY SOURCES

Lease PDF upload
Document store
Email attachment

WORKFLOW ENGINE (N8N)

Trigger
LLM - Read full document
LLM - Extract terms
PMS API - Match unit
Branch - gaps?
Write structured abstract
Flag for review

CONNECTS TO

PMS (Yardi / MRI / AppFolio)Read: unit/tenant. Write: lease abstract fields
Document store (Box / SharePoint)Read: lease PDFs
Vision / OCR modelRead scanned or image-based leases
Notifications (email / Slack)Send the draft abstract to lease admin
WITHOUT PMS API

Agent outputs the abstract as a structured table for your admin to paste into the PMS. No auto-attach, but the extraction work disappears.

WITH PMS API

Agent reads the lease and writes structured fields straight to the unit record. Abstracts attach automatically. Best experience.

For the person who wants to build this agent step by step. Each node below maps to an n8n workflow node.

TRIGGERNode 1
Trigger - Lease Uploaded
Watch a document folder or upload webhook for new lease PDFs.
Output: { lease_pdf, unit_ref, uploaded_by, uploaded_at }
LLMNode 2
LLM - Extract Lease Terms
Vision-capable model reads the full lease and extracts the abstract fields.
Output: { base_rent, term_start, term_end, escalations[], options[], expense_terms, gaps[] }
You read a commercial or residential lease and build a structured abstract.

Extract:
- base_rent: amount and frequency
- term_start, term_end: ISO dates
- escalations: [{ date_or_year, type, amount }]
- options: [{ type, window, notice_required }]   // renewal, termination, expansion
- expense_terms: who pays CAM, taxes, insurance, utilities
- gaps: list any field you could NOT find or that was ambiguous

Quote the lease section for each extracted term where possible. Never guess a number. If unsure, put the field in gaps.
Respond ONLY with valid JSON.
INPUT
[Lease PDF: base rent $4,200/mo, 3% annual escalation, 5-year term starting 2026-07-01, one 5-year renewal with 180 days notice, tenant pays own utilities, landlord pays taxes/insurance]
OUTPUT
{
  "base_rent": "4200 monthly",
  "term_start": "2026-07-01",
  "term_end": "2031-06-30",
  "escalations": [{ "date_or_year": "annual", "type": "fixed_percent", "amount": "3%" }],
  "options": [{ "type": "renewal", "window": "5 years", "notice_required": "180 days" }],
  "expense_terms": "Tenant: utilities. Landlord: taxes, insurance.",
  "gaps": ["CAM responsibility not specified"]
}
APINode 3
HTTP Request - Match Unit Record
Find the unit/tenant in the PMS so the abstract attaches to the right lease.
Output: { unit_id, tenant_id, existing_lease_flag }
DECISIONNode 4
Condition - Gaps Present?
IF gaps[] is empty → draft a clean abstract. ELSE → draft and highlight the missing terms for the admin.
Output: Branch: CLEAN (draft) or GAPS (draft + highlight)
ACTIONNode 5
Write Structured Abstract
Write the extracted fields to the lease record (or a review table), with section references attached.
Output: Draft abstract saved against the unit. Status: "Pending review".
ACTIONNode 6
Flag for Review
Notify the lease admin with the draft and any highlighted gaps for confirmation.
Output: Admin notified, abstract ready to confirm against the document.
MVP vs Advanced — Where To Start
MVP — START HERE
  • Folder-watch trigger
  • Text-based lease parsing
  • Manual unit match
  • Core fields only (rent, term)
  • Abstract to a sheet
  • Admin review by email
ADVANCED — ADD LATER

    Full Video Walkthrough Coming Soon

    From a 40-page lease to structured fields - step by step.

    Register to be notified

    Everything on this page is free to learn.

    When you're ready to build — do it yourself or bring us in.

    OTHER AGENTS IN LEASING & MARKETING

    Flags mismatches between lease terms and system billing before invoices go out
    Watches every renewal, option, and notice deadline across the portfolio

    Frequently asked questions

    Lease Abstraction Agent is an AI agent that extracts key terms from lease documents into structured fields.
    A 40-page lease, retyped by hand. One wrong number bills wrong. The Lease Abstraction Agent addresses this — it extracts key terms from lease documents into structured fields.
    No — your team stays in control. Your lease admin reviews every extracted field against the document. The agent does the reading and the structuring. It produces a draft abstract, your team confirms it.