A web-based Visual Analytics tool to help a user classify large volumes of unstructured documents. Our application permits the user to interact with the system to adjust the initial clustering. ArchivIT then uses machine learning to complete the classification of documents and presents them as a visualization with which archivists are able to interact to explore the results of the classification. The ArchivIT application is designed to support this as an interactive practice that combines machine learning with archival intelligence to arrive at an optimal categorization of the documents as judged by the domain user.