A web-based Visual Analytics tool to help a user classify large volumes of unstructured documents. Our application presents the domain users with thumbnails of documents that provides the archivist with an overview of the spacial layout of documents in a category and allows the archivist to move documents between categories. ArchivIT permits the user to interact with the system to adjust the initial suggested 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. Changes that the user might make to the results, will be saved as a new training set for the next steps of the algorithm to categorize a larger set of unclassified documents.