We propose a visual analytics tool to support investigative journalists in the exploration of large text corpora. Our tool combines graph modularity-based diagonal biclustering to extract high-level topics with overlapping bi-clustering to elicit fine-grained topic variants. Our co- ordinate and multi-resolution views allows explorin high-level topics, inspecting their variants while accessing the original content on demand.