ProgramsIntegrated Project Management Capstone Course (BMIS476 - Fall 2025)ProjectsAI-Driven Legal and Compliance Enhancement

Project Title: AI-Driven Legal and Compliance Enhancement

University of Montana

Details
Project Title AI-Driven Legal and Compliance Enhancement
Project Topics Artificial Intelligence & Machine Learning Case Management Legal, Regulatory, Compliance Operations
Skills & Expertise Dynamics Engineering Analysis
Project Synopsis: Challenge/Opportunity
The University of Montana excels in providing quality education and services to its diverse student body and staff, maintaining a strong commitment to academic integrity and compliance. However, the legal and compliance office currently faces challenges in managing a growing volume of inquiries and requests, which can overwhelm staff and detract from their ability to address complex legal issues. The existing manual processes and reliance on outdated technologies hinder their efficiency, leading to delays in response times and potential compliance risks.
Project Synopsis: Activities/Actions Required
  1. Key activities for this project will include conducting a needs assessment and stakeholder interviews to gather insights about current operations and pain points.
  2. Students will utilize data analysis techniques to evaluate existing technologies and identify gaps in the legal and compliance services.
  3. They will explore various AI and ML tools that can automate routine inquiries and improve case management efficiency.
  4. Throughout the project, students will engage in iterative design processes, collaborating with stakeholders to develop and refine prototypes.
  5. The final phase will involve presenting findings and recommendations, including a strategic implementation plan and a working prototype of an AI-driven case management system.
Project Synopsis: Expected Results
  • The expected outcomes of this project include a functional prototype of an AI-enhanced case management system that effectively addresses the needs of the legal and compliance office.
  • Students will learn project management methodologies, develop technical skills in AI applications, and gain firsthand experience in stakeholder engagement and communication.
  • The project will deliver business value by reducing response times to inquiries, improving operational efficiency, and allowing the legal team to dedicate more time to complex issues.
  • SMART goals will include: (1) completion of a needs assessment within the first month; (2) development of a prototype by the end of the semester; (3) a 30% reduction in response times for routine inquiries; and (4) a comprehensive report with recommendations for the implementation of AI technologies.

Project Timeline

Touchpoints & Assignments Date Type

Student Teams Finalized

 Aug 28 2025 Event

Students Select Project Preferences

 Sep 04 2025 Event

Students Introduced to Industry Partners to Schedule Kickoff Meeting for Next Week

 Sep 17 2025 Event

Submit Project Charter (For Industry Approval)

 Sep 23 2025 Event

Negotiate and Sign NDA if required

 Sep 23 2025 Event

Industry Temperature Check 1/3

 Sep 26 2025 Evaluation

Student Temperature Check 1/3

 Sep 26 2025 Evaluation

Student Temperature Check 2/3

 Oct 31 2025 Evaluation

Industry Temperature Check 2/3

 Oct 31 2025 Evaluation

System Design Document

 Nov 04 2025 Event

Agile Development Meetings with Project Sponsor

 Nov 07 2025 Event

Student Temperature Check 3/3

 Nov 21 2025 Evaluation

Industry Temperature Check 3/3

 Nov 21 2025 Evaluation

Final Presentation

 Dec 05 2025 Event

Industry Project Feedback Form

 Dec 12 2025 Evaluation

Final Project Report and Hand-off

 Dec 12 2025 Event

Program Managers

Name Organization
Clayton Looney University of Montana

Teams

Team Name  Project Name  Team Members 
No Teams Available