Abstractive summarization is the task of compressing a long document into a\ncoherent short document while retaining salient information. Modern abstractive\nsummarization methods are based on deep neural networks which often require\nlarge training datasets. Since collecting summarization datasets is an\nexpensive and time-consuming task, practical industrial settings are usually\nlow-resource. In this paper, we study a challenging low-resource setting of\nsummarizing long legal briefs with an average source docu…