The Challenge
A 40-agent real estate brokerage was losing deals to slow closings. Every transaction required staff to manually cross-check title documents, disclosures, and lender paperwork — a process averaging 12 days per deal. Errors were frequent, and a single missed disclosure could delay a closing by a week or trigger compliance risk.
The Goals
Working with the leadership team, we defined three measurable targets:
- Reduce average closing time by at least 40%
- Eliminate manual data-entry errors in document review
- Free up paralegal staff for higher-value client work
Our Approach
We designed an agentic AI workflow that ingests every document in a transaction packet and verifies it against the firm's compliance checklist automatically.
Document Ingestion & Classification
The system automatically classifies each uploaded file — title report, purchase agreement, disclosure, lender condition — and extracts the key fields needed for verification.
Automated Cross-Checking
AI agents compare extracted data across documents, flag mismatches (names, dates, figures), and surface missing items before they reach a human reviewer.
The Results
Within 90 days of deployment, the brokerage saw:
- Average closing time dropped from 12 days to under 5 — a 60% reduction
- Document-review errors fell to near zero
- Paralegals reclaimed roughly 15 hours per week previously spent on manual checks
What's Next
The firm is now expanding the workflow to automate client communications and lender follow-ups, with the goal of a fully assisted closing pipeline by the end of the year.