Automating Legal Expertise: A Rule-Based Approach to Legal Reasoning Systems

This research explores the development of an expert system for legal decision-making, specifically designed for the Indian legal context, utilizing Prolog for case-based reasoning. The Indian legal system, governed by the Indian Penal Code (IPC), various constitutional laws, and legal precedents, relies heavily on judicial decisions to inform future rulings. Prolog, a logic programming language with rule-based inference capabilities, presents an effective solution for automating such legal reasoning. In this paper, we construct an expert system that processes legal facts, applies relevant sections of Indian laws, and matches current legal cases to relevant prior judgments to deliver case-based legal decisions. The system incorporates key provisions from the IPC, such as sections dealing with theft, criminal offenses, and contract disputes, using legal precedents from landmark Indian cases to demonstrate its applicability. This research highlights the system’s effectiveness in handling rule-based legal reasoning while discussing the challenges posed by ambiguous legal language, scalability, and real-world complexities. We conclude by proposing enhancements, such as integrating machine learning techniques to refine case interpretation and automate more complex aspects of the Indian judicial process.