  The escalating number of pending cases is a growing concern world-wide.
Recent advancements in digitization have opened up possibilities for leveraging
artificial intelligence (AI) tools in the processing of legal documents.
Adopting a structured representation for legal documents, as opposed to a mere
bag-of-words flat text representation, can significantly enhance processing
capabilities. With the aim of achieving this objective, we put forward a set of
diverse attributes for criminal case proceedings. We use a state-of-the-art
sequence labeling framework to automatically extract attributes from the legal
documents. Moreover, we demonstrate the efficacy of the extracted attributes in
a downstream task, namely legal judgment prediction.
