Indian Judgement Prediction Assistant: A LLM Based AI Approach

The volume of crimes and legal cases has been growing exponentially in many countries, and the number of pending legal cases has also been growing exponentially. If a system could augment judges in this process, it would be of immense help and would accelerate the process. In addition, on, if the system provides an explanation for its decision, it would help a judge make a more informed decision about the final result of the case. There is a need to develop-based techniques to generate legal outcomes with explanations. Addressing this need, we introduce the Indian Legal Assistant, a model for predicting case outcomes with explanations. The system users can provide detailed case scenarios that include case facts, keywords, acts, and other relevant information. Our model will process this input and generate the possible outcome with an explanation for the given scenario. The project intends to assist Indian citizens, law students, and legal professionals in comprehending the extensive Indian legal system for their respective use cases. The system demonstrates strong predictive results across different case sets, in addition to providing valuable explanations regarding its judgment process. The outcomes from the Indian legal system demonstrate the effectiveness of this approach in terms of both explanation and judgment prediction.