10. The non-transitory computer-readable medium of claim 9 , wherein the user input identifies an entity, and the statistical model was generated based on at least one of: the first plurality of documents; a second plurality of documents associated with the entity; and a third plurality of documents associated with an industry associated with the entity.
9. A non-transitory computer-readable medium storing a set of instructions that are executable by one or more electronic devices, each having one or more processors, to cause the one or more electronic devices to perform a method, the method comprising: obtaining a first plurality of documents associated with a user input; obtaining a statistical model associated with the user input; obtaining, from content of the first plurality of documents, a plurality of segments; determining statistical significance for the plurality of segments based at least on the statistical model; determining, for each document in the first plurality of documents, representative segments from the plurality of segments, the representative segments being determined based at least in part on the statistical significance; clustering documents from the first plurality of documents based at least in part on the representative segments; receiving a selection of a date range; for a cluster of documents associated with a date within the date range, automatically associating a label with the cluster of documents based at least in part on the determined representative segments; and providing for display within a graphical user interface a representation of the date range, the label, and contents of documents in the cluster of documents, or links to documents in the cluster of documents, or a combination thereof.