You just uploaded a 40-page commercial lease to PactBadger. Within a minute, the system has identified the landlord, the tenant, the lease term, every critical date, the monthly rent, the security deposit, and a half-dozen key clauses — including the auto-renewal provision buried on page 31.
How does that work? And more importantly, can you trust it?
The Three-Step Pipeline
When you upload a document to PactBadger, three things happen in sequence:
Step 1: Text Extraction
First, we extract the raw text from your document. PactBadger accepts PDF, DOCX, and TXT files. For PDFs, we extract embedded text. For scanned documents, we use OCR to convert the image to text — this works well for clean, high-resolution scans, though very low-quality or handwritten documents may need a manual review. The goal is clean, readable text that preserves the structure of the original document.
Step 2: AI Analysis
The extracted text is sent to an AI model that has been specifically instructed to identify contract and lease information. The AI reads the full document and extracts structured data:
- Parties — landlord/lessor and tenant/lessee names
- Dates — lease start, end, renewal, and notice deadlines
- Financial terms — rent amount, security deposit, escalation schedules
- Key clauses — auto-renewal, early termination, penalties, assignment rights, insurance requirements, and more
The AI doesn't fill in blanks — it extracts values from specific passages in your document. Each extraction includes the source context — the actual text from the lease that the value was pulled from — so you can verify every result against the original.
Step 3: Alert Generation
Once the key dates are extracted, PactBadger automatically creates alerts. If your lease ends on December 31, 2027, and has a 90-day notice requirement, you'll get an alert on October 2, 2027 — with enough time to make a decision and act on it.
Alerts are sent via email and shown in your PactBadger dashboard. You choose how far in advance you want to be notified.
What Gets Extracted
Here's a breakdown of what PactBadger pulls from a typical commercial lease:
| Field | Example |
|---|---|
| Contract type | Commercial Lease |
| Parties | ABC Properties LLC ↔ Tenant Corp |
| Start date | January 1, 2024 |
| End date | December 31, 2028 |
| Monthly rent | $4,500/month |
| Security deposit | $9,000 |
| Renewal date | October 2, 2028 (90 days before end) |
| Notice period | 90 days |
| Auto-renewal | Yes — 2-year extension if no notice given |
| Rent escalation | 3% annually on anniversary |
| Early termination | Permitted after Year 3 with 6 months' notice + 2 months' penalty |
Beyond the structured fields, the AI also identifies key clauses — specific provisions that have financial or legal significance. These include:
- Auto-renewal and extension terms
- Termination rights and penalties
- Rent escalation and adjustment formulas
- Insurance and indemnification requirements
- Assignment and subletting restrictions
- Maintenance and repair obligations
- CAM (Common Area Maintenance) provisions
Each clause is extracted with a summary and the source text from the document, so you can verify it against the original.
How Accurate Is It?
AI extraction is very good, but it's not infallible. Here's what to expect:
Dates and financial terms — High accuracy. These are concrete values that appear explicitly in the text. AI finds them reliably.
Parties and roles — High accuracy for standard lease formats. Complex multi-party agreements or unusual naming conventions occasionally need a manual check.
Key clauses — Good accuracy for standard commercial lease clauses. The AI identifies the right provisions in the vast majority of cases. Unusual or heavily negotiated clauses may need review.
Our recommendation: Always do a quick scan of the extracted data before relying on it for decisions. PactBadger makes this easy — the extraction results page shows every field with its source context, and you can edit any value with a single click. If the AI misses a clause entirely, you can add fields manually — and that feedback helps improve future extractions.
We also give you the option to rate each extraction and provide feedback, which helps us continuously improve accuracy.
What About Amendments and Addenda?
In practice, most leases don't stay static. Rent gets renegotiated. Options get exercised. Addenda add new terms. This is one of the biggest failure points for spreadsheet-based tracking — the sheet reflects the original lease, not the current reality.
PactBadger handles this by allowing you to upload multiple documents per contract. When you upload an amendment, the AI re-analyzes the full document set and updates the extracted data accordingly. The most recent terms take precedence, but the original document is still accessible.
For example, if you upload a lease followed by a rent amendment, the system will update the financial terms to reflect the amendment while preserving the original lease dates.
Try It Yourself
The best way to understand the extraction is to see it work on your own documents. The free plan includes 10 contracts and 5 AI extractions per month — enough to test with your most important leases before committing to anything:
- Sign up for free — no credit card required
- Upload a lease — drag and drop a PDF, DOCX, or TXT file
- Watch the extraction — results appear within a minute
- Review and refine — check the extracted data and make any corrections
Curious what AI will find in **your* leases? Upload your first contract and see results in under a minute — the free plan includes 10 contracts with no credit card required.*