9:00-9:30am Breakfast and registration
9:30-9:45am Welcome, Jocelyn Kennedy, Executive Director, Harvard Law School Library
9:45-11:00am Keynote, Professor Christopher T. Bavitz, WilmerHale Clinical Professor of Law and Managing Director, Cyberlaw Clinic at the Berkman Klein Center for Internet & Society, Harvard Law School
11:00-12:00pm Law Librarian panel, moderated by Bob Ambrogi: Kara Mack (Goodwin); Chris Laut (Sullivan and Worcester); Mary Jenkins (Director, Research Solutions, Accufile, Inc.)
1:30-4:00pm Afternoon sessions: Simultaneous sessions from which you can choose (full session descriptions still in progress) within or across tracks.
Access to Justice Track
1:40-2:30 John Mayer, CALI (remote), Access to Justice and AI
2:40-3:30 David Colarusso, Suffolk Law School (in collaboration with the LLNE Access to Justice Committee)
Teaching and Tools Track
1:40-2:50 Roundtable on Teaching Algorithms
3:00-4:00 Heidi Alexander, Lawyers Concerned for Lawyers, AI in Practice: Is It for Everyone? The Impact of AI and Automated Solutions on Small Firms
AI in Practice: Is it for Everyone?: The Impact of AI and Automated Solutions on Small Firms
Large firms and corporate legal departments are already making use of AI technologies in the legal department for contract analysis, data analytics, and legal research. But, many of the better known tools haven’t been scaled for practitioners on limited or smaller budgets, i.e. solo and small firms.
This session will dive into some of the new AI tools available for smaller practices to improve office efficiency and accuracy of work product, thus providing better client service and enabling more effective competition with larger scale practices.
This session will also look at some of AI’s sister technologies, “automated” solutions, which may be more costs efficient and that bring significant advantages to small firms.
The legal technology market is booming. Get ready to be wow’d by what you never knew existed.
1:40-4:00 Andromeda Yelton, Berkman Klein Center for Internet & Society (hands on exercises to learn about machine learning)
Is it a cat or is it metadata?: Machine Learning for Librarians
How does machine learning work? In this hands-on session, you’ll learn key principles of machine learning in the context of real-world library applications (and also cat pictures). You’ll dig into real machine learning code -- no programming experience required -- and critically evaluate the results. By the end of the session, you’ll know several ways machine learning can be applied to library data, and some good reasons people should -- and shouldn’t -- try this. PLEASE BRING YOUR OWN LAPTOP.
4:15-6:00pm Reception and library tours