Towards Recommendations from User-specific Insights based on Historical Legal Cases

Abstract

When people find themselves engaged in legal situations, they may seek professional advice. For the full advantage of the client, legal professionals can use their experience or refer to relevant previous judicial evidence to prescribe the course of action. Comprehending prior legal proceedings and contextualizing the insights to a given user profile is a challenging task. Earlier work has primarily concentrated on the case records and recommended material retrieval, judgment, and law sources recommendations. In contrast, we present a template-based recommendation system based on the user’s profile and insights obtained from similar past cases. We use natural language processing techniques to parse the relevant text to create user-specific legal insights. Our system uses these insights to populate a template to provide the final recommendations to the user. We demonstrate the system with two case studies: parental alienation and divorce cases. Our system shows promising results in creating meaningful insights and recommendations.