Evaluating AI Models in Indian Legal Practice: A Study on Large Language Models

The main objective of this research is to assess how well large language models (LLMs) can provide precise legal answers in the setting of Indian law. The main goal is to evaluate and contrast the degree to which two LLMs are able to understand and respond to legal issues that are unique to the Indian legal system. A battery of tests is used in this comparison analysis to gauge each model's effectiveness in a number of crucial domains, such as precedent recognition, document drafting, and legal research. Through an analysis of variances in precision, efficacy, and dependability, the research offers a thorough assessment of the models' advantages and disadvantages. The study covers critical ethical issues including responsibility, prejudice, and transparency in addition to performance measurements. These issues are critical to guaranteeing the appropriate use of AI in legal contexts. The results show that although there are clear ben-efits to both models, one is more useful for supporting attorneys. The report offers recommendations for future research aimed at improving the applicability and effectiveness of legal liability management in the Indian legal industry. These recommendations are based on the insights gained and include suggestions for enhancing model accuracy, integrating ethical safeguards, and expanding the utility of LLMs in legal practice.