Context-Aware Large Language Models for Personalized Legal Document Generation and Review

We develop and evaluate context-aware large language models specifically tailored for legal applications, enabling the personalized generation and efficient review of complex legal documents. This system understands nuances in legal language and specific case contexts, dramatically improving accuracy, reducing drafting time, and minimizing human error in legal practices. It offers a powerful tool for legal professionals to streamline workflows and enhance document quality.