CourtQ
TM's Case Aggregation Engine collects public court records from multiple sources including, PACER and State Courts
Case details are normalized via a proprietary process that uses a combination of manual and automated resolution algorithms to standardize case types, case statuses, case categories, etc.
Cases from multiple data sources are organized and made available for searching utilizing Big Data techniques to surface relevant information.
Selected cases are available for tracking and notifications sent to users when triggers are detected in case updates.