A webinar presented by the National Council of University Research Administrators (NCURA).

After the Show – Talk with the faculty directly: 2:35 – 3:30 p.m.

Registration through Learn@Work is required for free access to the webinar.

• Registration is FREE, but is required via Learn@Work.
• PLEASE NOTE: If you do not have one already, you must register for an NCURA account (free) to view the webinar.
• It is highly recommended to register through Learn@Work no later than 30 minutes prior to the start of the webinar to avoid technical issues.

As research agreements grow more complex and timelines tighten, institutions are exploring how artificial intelligence and automation can streamline contracting workflows—without compromising transparency, compliance, or trust. In this forward-looking session, participants will gain a practical understanding of how AI can support every phase of the research contracting lifecycle, from intake and negotiation to monitoring and compliance. We’ll explore use cases like reusing prior agreements, leveraging AI for contract summarization and negotiation insights, and designing better prompts for contract “chat” tools. Drawing on lessons learned from early adopters—including a case study from the Mayo Clinic—this session offers concrete strategies for thoughtful, ethical AI integration. Interactive exercises will give attendees hands-on experience in prompting, workflow design, and rethinking their contracting processes for the digital age.

Learning Objectives

By the end of this session, participants will be able to:

• Recognize how AI and automation can streamline the research contracting lifecycle, from intake through negotiation to compliance tracking.
• Evaluate ethical and operational considerations when integrating AI into contract workflows, including data privacy, transparency, and oversight.
• Identify key use cases and tools for contract intelligence, such as reusing prior agreements, “chatting” with contracts, and tracking negotiation outcomes.
• Understand the skills required to collaborate effectively with AI, including prompt design and human oversight.
• Apply lessons from real-world AI implementations at leading institutions to accelerate digital transformation within their own organizations.

Faculty

• Tara Rabe
  Operations Administrator
  Mayo Clinic Rochester
• Jim Wagner
  CEO
  The Contract Network

Questions? 
Contact Chelsea Elliott at chelseae@wustl.edu.

This NCURA webinar is brought to you by Research Education & Information.