Abstract

By increasing the effectiveness of legal research, documentation and compliance verification, artificial intelligence is revolutionizing the legal industry. In this work, Vidhi AI is provided as a domain-specific large language model (LLM) that can accurately and contextually summarize legal documents and perform statutory and compliance checks. Vidhi AI is optimized on carefully selected legal datasets, in contrast to general purpose LLMs, guaranteeing accuracy and pertinence in legal applications. The model creates structured summaries of legal documents and cross-checks statutory compliance against jurisdictional requirements using a hybrid technique that combines refined LLMs with Retrieval Augmented Generation (RAG). Along with a comparison to other legal AI tools now in use, the study outlined the model architecture, data curation procedure, and evaluation methodology. The difficulties in developing legal AI are also covered in the study, such as data bases, ethical issues, and regulatory limitations. Vidhi AI is a step toward intelligent legal assistants that support attorneys while guaranteeing compliance with the law, improve document analysis, and increase compliance verification.

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