NLP-empowered Automation for Integrity Assessment in Legal Documents

Natural Language Processing (NLP) is a learning-based technique under the general scope of Artificial Intelligence (AI). NLP has shown its benefits in many application, including finance, accounting and auditing. Differing from semantic extraction in social
media, text interpretation for auditing has the legal constraints, which is crucial in determining whether an invoice or a contract is legitimate from the legal perspective. Legal documents can range from a few pages to hundreds of pages, which is time
consuming for domain experts to review. Our goal is to automate such process using NLP techniques and AI algorithms to improve time and accuracy, avoiding manual errors and replacing human procedural checking, and thus releasing the valuable time of auditors to focus on critical issues.

Faculty Supervisor:

Irene Cheng;Mi-Young Kim

Student:

Partner:

Integrity Technology Solutions

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program: