“Legal Owl”: An Application for Machine-Generated Legal Aid Using NLP

For the proper functioning of a democracy, a key element is access to legal aid and justice for all, irrespective of caste, gender, and economic background, which is why there should be more options for people living in rural areas or from marginalized communities to seek legal advice or other services. This creates a need for a system that would be easily accessible to users and help them get legal advice for their queries, as well as raise awareness about legal procedures among the people. This paper aims to develop and provide a system using a layman-understandable summary of the official case judgment documents (generated by comparing and utilizing different summarization algorithms), by which the common person could understand the situation they are facing by looking at previous experiences. This would be a step toward developing a system that would provide machine-generated legal advice to the user by analyzing similar cases and related laws.