Discursis is a tool for analyzing text-based natural language with a focus on sequential analysis. It is particularly desgined to work with texts that have an internal temporal structure, such as a transcribed conversation. For each text, it generates a statistics-based internal language model and applies tagging to each temporal unit detected. The model and tagging are then used as the basis for an interactive visualization which permits examination at a various levels of granularity, ranging from a whole-text to a unit-by-unit level; it can also show topic usage patterns within the text. Users must purchase a license; both student and academic trial licenses are available.