This case study highlights how XtractSol improved chain-of-title preparation by converting fragmented deed records into a structured, traceable ownership timeline.
Building a chain of title traditionally requires reviewing years of transfers across many documents and regional systems. XtractSol introduced an automation-first workflow to reduce manual review effort, improve transfer sequencing consistency, and make validation faster through standardized output and source traceability.
- Reduced manual effort with automated collection and extraction
- Clearer ownership sequencing with chronological timeline reconstruction
- Faster validation with direct links between extracted data and source records
Challenge
Manual chain-of-title work was time-intensive and prone to quality risk because analysts had to inspect and reconcile records document by document over long ownership periods. Teams needed to reduce missed transfers, incorrect ordering, and duplicate entries while keeping documentation external-facing and confidentiality-safe without exposing internal processing logic.
Solution
XtractSol implemented a secure collection and reconstruction workflow for chain-of-title records, including county auditor data in Ohio and other regional public-record sources. Relevant ownership attributes such as grantor, grantee, recording date, sale price, and instrument number were extracted and standardized into a consistent schema to support reliable downstream review.
The workflow then rebuilt ownership transfer history in chronological order and stored results in structured JSON linked to source documents in cloud storage. This improved auditability and verification speed while keeping process communication at a high-level overview suitable for client-facing documentation.
{ "parcel": "08-1142-004", "chain": [ { "date": "1998-05-12", "grantor": "Hale", "grantee": "Osborne" }, { "date": "2007-09-03", "grantor": "Osborne", "grantee": "Reyes" }, { "date": "2015-01-20", "grantor": "Reyes", "grantee": "Mercer LLC" } ], "source": "linked" }
Chronological transfers in structured JSON, each linked to its source record.