  In populous countries, pending legal cases have been growing exponentially.
There is a need for developing techniques for processing and organizing legal
documents. In this paper, we introduce a new corpus for structuring legal
documents. In particular, we introduce a corpus of legal judgment documents in
English that are segmented into topical and coherent parts. Each of these parts
is annotated with a label coming from a list of pre-defined Rhetorical Roles.
We develop baseline models for automatically predicting rhetorical roles in a
legal document based on the annotated corpus. Further, we show the application
of rhetorical roles to improve performance on the tasks of summarization and
legal judgment prediction. We release the corpus and baseline model code along
with the paper.
