Case Study: U.S. county government achieves automated records classification and faster, compliant email management with OpenText Magellan Text Mining

U.S. county government transforms information governance with automated records classification

A U.S. county government serving about 900,000 residents was overwhelmed by email records: as an early digital adopter it had nearly one billion emails dating to the 1980s and handled roughly 300,000 emails per business day. Manual sorting consumed staff time, slowed searches, and made it difficult to meet public‑records, retention, and compliance requirements while maintaining transparent, efficient service.

The county implemented OpenText Content Suite and OpenText Magellan Text Mining to automatically classify new and historical emails and enforce retention policies. Automated tagging and disposition reduced searchable volume, sped public‑records searches and e‑discovery, improved staff productivity, ensured alignment with state retention schedules, and enabled plans to delete roughly 80% of emails—lowering costs and strengthening information governance.