  Reviewing and comprehending key obligations, entitlements, and prohibitions
in legal contracts can be a tedious task due to their length and
domain-specificity. Furthermore, the key rights and duties requiring review
vary for each contracting party. In this work, we propose a new task of
party-specific extractive summarization for legal contracts to facilitate
faster reviewing and improved comprehension of rights and duties. To facilitate
this, we curate a dataset comprising of party-specific pairwise importance
comparisons annotated by legal experts, covering ~293K sentence pairs that
include obligations, entitlements, and prohibitions extracted from lease
agreements. Using this dataset, we train a pairwise importance ranker and
propose a pipeline-based extractive summarization system that generates a
party-specific contract summary. We establish the need for incorporating
domain-specific notion of importance during summarization by comparing our
system against various baselines using both automatic and human evaluation
methods
