Manual title search review missed liens that would have cost clients thousands. AI-powered QC now reviews every commitment before it leaves the office — in under two minutes.
A lien nobody caught. A closing that fell apart at the table.
The examiner had 12 files to review that morning. The HOA lien was in the notes section of a county page — not the standard lien section — and it was listed under a slightly different spelling of the owner's name. A human reviewing 12 files in a morning misses things like this. It showed up at the closing table. The buyer's attorney caught it. The closing rescheduled three weeks out. The title company absorbed the cost. This had happened twice in eight months. The principal knew it wasn't a people problem — it was a volume problem that required a systems solution.
Every commitment reviewed by Claude against a 40-point lien checklist before it's issued.
We deployed an automated QC pipeline triggered every time a title commitment is finalized in SoftPro. Google AI Studio processes any attached scanned county documents — handling handwriting, low-resolution scans, and non-standard formats. Claude then reviews the full commitment against a configurable 40-point checklist: open mortgages, HOA liens, judgment liens, tax arrears, legal description discrepancies, vesting chain breaks, and 34 more. Anything flagged as uncertain goes to the examiner for a targeted, one-question review — not a re-read of the full document. Clean commitments issue automatically.
The examiner now reviews flags — not full documents.
“The HOA lien was in a footnote. A footnote. The AI caught it at 2am on a Saturday.”
— Chief Examiner, Multi-state Title Operation, Georgia
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