  The count of pending cases has shown an exponential rise across nations
(e.g., with more than 10 million pending cases in India alone). The main issue
lies in the fact that the number of cases submitted to the law system is far
greater than the available number of legal professionals present in a country.
Given this worldwide context, the utilization of AI technology has gained
paramount importance to enhance the efficiency and speed of legal procedures.
In this study we partcularly focus on helping legal professionals in the
process of analyzing a legal case. Our specific investigation delves into
harnessing the generative capabilities of open-sourced large language models to
create arguments derived from the facts present in legal cases. Experimental
results show that the generated arguments from the best performing method have
on average 63% overlap with the benchmark set gold standard annotations.
