Revolutionizing Legal Workflows: Advanced AI Techniques for Document Summarization, Legal Translation, and Conversational Assistance

The increasing complexity and volume of legal documents necessitate more efficient processing and analysis. we propose an AI-driven approach to streamline legal services by integrating advanced natural language processing (NLP) models for summarization, translation, and conversational assistance. We utilize the allenai/led-base-16384 model for summarization of extensive legal documents, Facebook M2M-100 for multi-lingual translation, and mistralai/Mistral-7B-Instruct-v0.2 for legal conversational AI. The proposed system enhances legal services by providing quick, accurate summaries, translations, and AI-driven legal advice, thereby improving accessibility and reducing time and cost for legal professionals. Experimental results demonstrate the efficiency and accuracy of the system on various legal documents, highlighting its potential to revolutionize legal workflows.