Enhancing Legal Document Processing with Large Language Models: A Specialized ChatGPT Model for Corporate Law

A key challenge in corporate law is the efficient indexing and retrieval of legal documents. This project focuses on enhancing the accuracy of AI-driven legal document processing, making it easier for law firms to manage client records. With improved document indexing and data extraction, legal professionals will have better access to structured, reliable legal information. This will streamline workflows, reduce errors, and improve decision-making, ultimately saving time and costs for businesses and law firms across Canada.
Beyond direct business benefits, the research also creates broader economic and societal advantages for Canada. The legal industry plays a vital role in the country’s economy, and improving its efficiency through AI will reduce costs, making legal services more affordable and accessible to Canadian businesses and individuals. By increasing the accuracy of legal document automation, this project can help prevent legal disputes and improve regulatory compliance, supporting fair and transparent business practices.
Furthermore, this research aligns with global advancements in AI-driven legal technology. By participating in such innovation, Canada strengthens its position as a leader in legal tech, fostering economic growth and making the country a hub for AI-driven solutions. The knowledge and tools developed through this project can be applied across various legal domains.

Faculty Supervisor:

Raymond Spiteri

Student:

Partner:

Ingenio

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Saskatchewan

Program: