Undergraduate technology law is a research group at Indiana University that studies how technology is changing the legal sector. Our current focus is on AI & machine learning, intellectual property, and data privacy.
Our work is research-focused. We study how existing doctrine applies to emerging technical systems, with particular attention to AI and machine learning, intellectual property, and data privacy. We publish that research through reports, case analysis, and longer-form pieces for students and practitioners trying to understand how these fields are changing legal work.
Applications are currently closed and may reopen in the spring semester. Please check back for updates.
We look at how model training, data scraping, generated output, benchmarks, and deployment choices put pressure on existing law. That includes copyright and patent questions, platform liability, audit requirements, transparency rules, and what courts actually do when technical claims meet a litigation record.
Privacy work covers state privacy statutes, biometric rules, health and education data, children’s privacy, data brokers, and consumer technology design. We care less about abstract privacy slogans and more about what companies collect, what users can control, and how enforcement bodies read the fine print.
Our intellectual property work follows copyright, patent, trademark, trade secret, licensing, and open source disputes involving new technical systems. We read complaints, motions, licenses, and opinions closely, with attention to what is being alleged and what the doctrine can realistically support.
For inquiries, research collaborations, sponsors, or to express interest in joining us, write directly at:
undergradtechlaw@outlook.com