From Concept to Concrete: Teaching Law Students about AI

In 2019, few attorneys practice law without the assistance of some form of artificial intelligence.  Indeed, due to the pervasiveness of next-generation legal research platforms, chatbots and expert systems, technology-assisted review in eDiscovery, and document analysis tools used in due diligence, attorneys are utilizing AI-based tools to work more efficiently and accurately.  Despite this synergy, though, and due to a variety of causes, ranging from non-technical backgrounds to repeat viewings of The Terminator, artificial intelligence can seem scary and unapproachable.

During the Spring 2019 semester, the speakers attempted to make AI more concrete and approachable for students enrolled in Northwestern Pritzker School of Law’s Legal Technology course.  Students were given the opportunity to learn about and test a variety of AI-based tools used in the legal profession. Then, in an effort to demistify concepts such as machine learning, image recognition, and neural networks, students were asked to experiment and interact with several Google AIY Vision Kits.  

In this session, the speakers will discuss their experience, including why certain AI-based tools were shown to the students, how the Google AIY Vision Kits were utilized, and the feedback received from students throughout the process.  Ultimately, the session will provide attendees with an opportunity to consider how they might incorporate similar tools and concepts into their own instruction and, in the process, make AI a bit more concrete and approachable.

 

Session Track

Everybody

Experience level

Beginner