  This extended abstract extends the research presented in "ILDC for CJPE:
Indian Legal Documents Corpus for Court Judgment Prediction and Explanation"
\cite{malik-etal-2021-ildc}, focusing on fact-based judgment prediction within
the context of Indian legal documents. We introduce two distinct problem
variations: one based solely on facts, and another combining facts with rulings
from lower courts (RLC). Our research aims to enhance early-phase case outcome
prediction, offering significant benefits to legal professionals and the
general public. The results, however, indicated a performance decline compared
to the original ILDC for CJPE study, even after implementing various weightage
schemes in our DELSumm algorithm. Additionally, using only facts for legal
judgment prediction with different transformer models yielded results inferior
to the state-of-the-art outcomes reported in the "ILDC for CJPE" study.
