Enabling the inference systems for assisting legal decisions to identify the functions of sentences and paragraphs in documents of legal judgments can enhance the justifiability of their algorithmic recommendations. The information about the functions of larger linguistic constituents complements the information at the word level like NER, and provides more clues about the arguments for the legal decisions. We explore this venue for the civil cases, which is a relatively uncommon choice in legal informatics and more challenging than working on the criminal cases. Current experimental results are promising.