Legal systems are often confusing and require expertise to answer questions related to it. One such tricky section is Cheque Bounce Case i.e., Section 138. This section deals with the causes and consequences of issuing a cheque and not honoring to pay that amount. This study focuses on simplifying the complexities of Section138 of the Negotiable Instrument Act, a challenging legal provision often poorly understood by the general public. The aim is to make the information accessible to individuals with limited legal knowledge, as well as aid law stakeholders in comprehending the nuances of this section. The system employs a unique approach, transitioning from unsupervised machine learning models to a custom-built ontology based on Section 138, significantly improving the accuracy of answers to user queries. The originality lies in the creation of a comprehensive ontology, encompassing multiple classes and their attributes. The research implications are noteworthy, as the system proves instrumental in addressing intricate questions related to Section 138, empowering individuals with limited knowledge to make informed decisions and better understand their legal situations.