IJIRCSTJournal International Journal of Innovative Research in Computer Science and Technology I S Volume 11 Issue 4 Information Technology English July - August 2023 N N Y 2023 08 01 Computer Sciences Knowledge Representation for Legal Document Summarization English Y 61 66 Sheetal Ajaykumar Takale English Y https://doi.org/10.55524/ijircst.2023.11.4.11 This paper presents a novel approach for legal document summarization. Proposed approach is based on Ripple-Down Rules (RDR). It is an incremental knowledge acquisition method. RDR allows us to quickly build an extendable knowledge base using classification rules. The classification rules are written using a set of features. Summary is generated using the identified rhetorical roles in the document. Experiments demonstrate that the RDR based Legal Document summarization approach outperforms the supervised and unsupervised machine learning models. English Ripple-Down-Rules, Rhetorical Roles, Legal Document Summarization https://ijircst.org/abstract.php?article_id=1152