AI for Lawyers
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.
WPI — A Leader in STEM and AI Education
Founded in 1865, Worcester Polytechnic Institute is the oldest STEM-dedicated institution in the U.S., with a long-standing reputation for innovation and applied learning. WPI is one of the few STEM-forward universities offering AI education to students and professionals. AI education. WPI’s departments and programs infuse AI across projects and courses so students can apply AI considerations to what they are learning now and how they will work in the future.
This course reflects our commitment to infuse AI knowledge for professionals across industries.
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
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Published visualization design guidelines applied in domains like cybersecurity and health-risk communication
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Leads research on human-computer interaction and visual analytics, modeling user performance with AI-driven visualization systems
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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
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Principal investigator on NIH- and DARPA-funded projects using smartphones, AI, and deep learning for healthcare and disease detection
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Research portfolio funded by NSF, NIH, DARPA, U.S. Army Research Labs, Google, Nvidia, and AMD
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Holds patents and publications advancing mobile health, computer graphics, and AI-enabled sensing technologies
Emmanuel Agu, PhD
Raha Moraffah, PhD – Assistant Professor, Computer Science
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Winner of the Outstanding Paper Award at IJCNLP 2023 and the 2024 ASU Engineering Dean’s Dissertation Award
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Research advances trustworthy AI, causal machine learning, and generative AI, with publications at KDD, AAAI, EMNLP, and more
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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
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Founding Head of WPI’s interdisciplinary Data Science program, a leader in AI and big data education
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Authored 600+ publications, numerous patents, and software systems released to the public domain; h-index of 65 with 16,000+ citations
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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
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Editor/Author of 5 books and dozens of peer-reviewed journal articles
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Founder and Director of WPI’s Institue of Science and Technology for Development (InSTeD)
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Social entrepreneur and AI company founder
Robert Krueger, PhD
Rashida Richardson, JD – Distinguished Scholar of Technology and Policy, Social Science & Policy Studies
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Former Senior Policy Advisor in the White House Office of Science and Technology Policy and Attorney Advisor to former FTC Chair Lina M. Khan
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Nationally recognized AI policy expert featured in The Social Dilemma, The New York Times, Wired, and MIT Technology Review
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AI legal experience in Industry, Academia, Civil Society, and Government
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
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.