automated classification

Examines how AI modernizes archive management: automating ingestion, metadata extraction, classification, OCR/NLP search, deduplication, and predictive retention to improve discovery and cut costs. Addresses compliance and digital preservation, and weighs risks—privacy, bias, provenance—offering governance, tooling, and change‑management steps for resilient, scalable archives.