AI for Lawyers

A One-Hour CLE Course from WPI
AI For Lawyers Hero

Gain the Legal Edge in an AI-Driven World

As AI technologies rapidly evolve, lawyers need to understand the legal and ethical considerations surrounding their use, even if they aren’t technical experts. 

WPI’s AI-101: “AI for Lawyers” is a 1-hour, cost-effective Continuing Legal Education (CLE) course designed to give legal professionals the foundational understanding they need to navigate AI-related concerns in contracts, compliance strategies, and client advisement. 

Whether you’re drafting contracts or policies, handling data-driven discovery for litigation, or advising on risk, this course will help you spot AI-related legal issues and increase productivity.  

CONTACT
Location: Boynton Hall
Office Location: 3rd Floor
Phone: 508-831-5305

Learn from a Cross-Disciplinary Team of AI and Policy Experts

Unlike most CLE programs often taught by lawyers rebranding themselves as “AI specialists,” this course is led by faculty from WPI. You’ll learn directly from STEM leaders and policy scholars who are shaping the future of AI in practice, research, and governance. 

Together, this teaching team combines expertise in AI systems, data science, ethics, governance, and technology policy—ensuring that you gain practical, accurate, and future-ready insights you won’t find in typical CLE offerings. 

Your instructors may include

Lane Harrison, PhD – Associate Professor, Computer Science
  • Published visualization design guidelines applied in domains like cybersecurity and health-risk communication 

  • Leads research on human-computer interaction and visual analytics, modeling user performance with AI-driven visualization systems 

  • Teaches WPI’s courses in data visualization and web programming, mentoring students on applying data science to real-world challenges 

Lane Harrison, PhD

Emmanuel Agu, PhD – Professor, Computer Science
  • Principal investigator on NIH- and DARPA-funded projects using smartphones, AI, and deep learning for healthcare and disease detection 

  • Research portfolio funded by NSF, NIH, DARPA, U.S. Army Research Labs, Google, Nvidia, and AMD 

  • Holds patents and publications advancing mobile health, computer graphics, and AI-enabled sensing technologies 

Emmanuel Agu, PhD

Raha Moraffah, PhD – Assistant Professor, Computer Science
  • Winner of the Outstanding Paper Award at IJCNLP 2023 and the 2024 ASU Engineering Dean’s Dissertation Award 

  • Research advances trustworthy AI, causal machine learning, and generative AI, with publications at KDD, AAAI, EMNLP, and more 

  • Recipient of the SCAI Doctoral Fellowship for Excellent Research, the highest distinction in her program 

Raha Moraffah, PhD

Elke Rundensteiner, PhD – William Smith Dean’s Professor, Computer Science & Program Head, Data Science
  • Founding Head of WPI’s interdisciplinary Data Science program, a leader in AI and big data education 

  • Authored 600+ publications, numerous patents, and software systems released to the public domain; h-index of 65 with 16,000+ citations 

  • Research funded by NSF, NIH, DOE, DARPA, and industry leaders including IBM, HP, and Verizon Labs 

Elke Rundensteiner, PhD

Robert Krueger, PhD – Professor & Department Head, Social Science & Policy Studies
  • Editor/Author of 5 books and dozens of peer-reviewed journal articles 

  • Founder and Director of WPI’s Institue of Science and Technology for Development (InSTeD) 

  • Social entrepreneur and AI company founder 

Robert Krueger, PhD

Rashida Richardson, JD – Distinguished Scholar of Technology and Policy, Social Science & Policy Studies
  • Former Senior Policy Advisor in the White House Office of Science and Technology Policy and Attorney Advisor to former FTC Chair Lina M. Khan 

  • Nationally recognized AI policy expert featured in The Social Dilemma, The New York Times, Wired, and MIT Technology Review 

  • AI legal experience in Industry, Academia, Civil Society, and Government 

Rashida Richardson, JD

Preview AI For Laywers

Who Should Take This Course?

This course is designed for: 

New associates and junior lawyers (perfect for onboarding) 

In-house counsel supporting product, HR, or compliance teams 

Legal professionals navigating data privacy, IP, or emerging tech issues 

Law firms seeking timely CLE that prepares teams for today’s demands 

 

Timing is everything. 
This course aligns with the post-bar hiring season, making it a smart CLE for law firms onboarding new grads. 

What You’ll Learn in 1 Hour

This foundational course gives you the core knowledge you need to work effectively in an AI-impacted legal world: 

  • How AI systems work and the AI stack (no technical background required) 
  • The differences between AI systems 
  • Key capabilities and limitations of AI systems 
  • Legal risks, ethical considerations, and best practices in AI governance 
  • Interactive components to improve legal issue spotting skills   
Ready to Bridge the AI Gap in Your Practice?
Join the only STEM-forward institution offering AI CLE for lawyers

New York Residents

Application for New York Accredited Provider status is currently pending.

Should an attorney require a discount or waiver of the CLE course fees, they should email a written request for a waiver to LegalAI@wpi.edu. All requests for a waiver will receive a written response within 10 business days of the course date.  All requests will be evaluated based upon need.  Unemployed attorneys attend free of charge, attorneys earning less $50,000/year receive a 75% discount, $50,000-$75.000/year a 50% discount.

California Residents

Application for California Accredited Provider status is currently pending.