Negotiation Simulations with LLMs

Laurent Béland, Smith Engineering This is the use of AI tools to simulate negotiations for students in an Alternative Dispute Resolution (ADR) course. There were 20 second and third-year law students, 10 first-year volunteer students, and 10 students from Pro Bono Students Canada taking part in this course.

Article Category

AI-Augmented Learning Activities

AI integration

LLM

I did not restrict the use of AI for negotiation simulations. Students were free to consult AI tools (e.g., LLMs) during preparation to help them think through strategy, identify potential interests, or anticipate negotiation moves. The goal was to observe how AI might naturally influence preparation and decision-making.

The simulations are the core pedagogical element of the course. They help students develop practical negotiation skills, including preparation, strategy development, communication, and managing conflict in real time.

Negotiators increasingly operate in environments where AI tools are available. Allowing students to experiment with AI during preparation reflects real-world practice and helps them critically assess whether AI advice is useful or misleading.

Yes. Students were highly engaged and the simulations generated rich discussion about strategy and behavior. I would likely add a short debrief asking students how (or whether) AI influenced their preparation.

Additional Information

Students receive confidential roles for a negotiation scenario and prepare a strategy before the simulation. They then negotiate with classmates and participate in a post-simulation discussion.

None.

Experiential ADR or negotiation courses.