Get AI informed. Learn what you need to know about Artificial Intelligence and how to effectively manage legal risk, opportunity and solutions.
Join courses tailored to enhance digital literacy in Canada’s legal communities. Whether you are curious or cautious about AI, these courses will equip you as a legal professional to confidently understand and interact with technology to best serve your clients in your day-to-day work.
Register now for “AI & Your Legal Business: Artificial Intelligence and Its Implications for Legal Practice”
First pre-recorded lecture available: November 6, 2021
Live lectures: 10 am - 12 pm MST November 13, 20, 27, 2021
This course is a total of 12 hours. A total of 2 hour pre-recorded lectures will be distributed each week, in addition to 2 hours of live online class time on Saturdays for 3 weeks.
This course is taught by legal AI expert Professor Randy Goebel, Assistant Professor Mi-Young Kim, and Postdoc Fellow Juliano Rabelo with special guest lectures from esteemed international law-and-AI experts including Professors Erich Schweighofer (University of Vienna), F.J. (Floris) Bex (Utrecht University), Georg Borges (Germany), and Adam Wyner (UK).
Do you have the knowledge to see how AI affects your legal services and the confidence to assess accordingly?
If you are a professional who is not yet aware of artificial intelligence (AI) methods being used in law, legal processes and policy development, this course is for you.
Whether you know it or not, AI is impacting legal services in Canada and around the world. Business, industry and individuals are using “AI” as a buzz-word to influence sales and policy arguments. As the consumer, do you know what this means for you?
Your ability to deliver competent legal services is at risk if you do not understand how AI impacts how you run your business and the work you do for your clients. In order to effectively respond to this new digital reality, this course explores key AI concepts and specific applications that affect legal services. You will also gain practical tools to understand and assess real - and fake - claims on how AI is impacting your legal service.
Through this course you will learn how AI may be hurting your work, how it may help, and what steps you can take next to stay caught up in this ever-evolving intersection.
This course includes interactive learning opportunities for participants to gain perspective on key challenges and solutions. Topics include family matters, insurance, contracts, civil rights and more and will draw on in-depth case studies from government service provision, law firms, legal aid organizations, courts, and advocacy organizations in Canada.
Understand how AI methods are used in legal processes today and how that relates to you.
Get vocabulary to engage on AI limits and solutions within your field of expertise effectively.
Acquire competence to approach digital issues in your work with confidence.
Apply concepts and tools to assess AI claims and protect your clients and community.
Gain a practical set of “next steps” on how to interact with AI in your business.
Randy Goebel is interested in the logic of machine learning, employing non-deductive reasoning to build theoretical models that accurately describe and predict the world. He is a Professor of Computing Science at the University of Alberta where he also holds the position of Associate VP of Research & Innovation. He was one of four original founding researchers of Amii and currently is a Fellow and sits on our Board of Directors. He is also the interim Executive Director of the NRC/UAlberta Nanotechnology initiative, a member of the scientific advisory board of DFKI (the German Institute for AI), the China Institute at the University of Alberta, and sits on the National Program Committee of the Pan-Canadian AI Strategy. He is also a scientific advisor to ROSS Intelligence (Toronto, CA), Intellicon (Seoul, KR), and AI Fred (Montréal, CA). Over his career, Randy has supervised more than 50 early-stage researchers at the MSc, PhD and Post-doctoral Fellow levels, and he has published more than 200 publications including refereed and invited papers and publications in books. He is a highly-regarded speaker, having delivered talks at academic conferences and institutions as well as businesses and governmental organizations around the world.
Mi-Young Kim is an assistant professor of Computing Science at University of Alberta, Augustana Campus. Her research interests are Artificial Intelligence, Natural Language Processing, and Text Mining. Her current research topics are legal information extraction from legal texts and medical information extraction from health records. She has been serving as a co-organizer of the International Competition on Legal Information Extraction and Entailment (COLIEE) since 2014, and her team won the statute law information entailment task in the competition every year from 2014 to 2019.
Juliano Rabelo is the Director of Data Science in AltaML. He has bachelor, masters and doctorate degrees in Computing Science/Artificial Intelligence, and is a Postdoc Fellow at the University of Alberta since 2018. Juliano has 20 years of industry experience in applied research and software development working for companies in Brazil, USA and Canada. Being passionate about languages and how they are applied in real-world problems, Juliano's current research focus is on Natural Language Processing, Machine Learning and Explainable AI applied to text.
Instructors
Professor Randy Goebel, Assistant Professor Mi-Young Kim, Postdoc Fellow Juliano Rabelo, with guest lectures from international law-and-AI experts.
Guest lecturers
Special guest lecturers include international law-and-AI experts Professors Erich Schweighofer (University of Vienna), F.J. (Floris) Bex (Utrecht University), Georg Borges (Germany), and Adam Wyner (UK).
Course objectives
The primary goal of this course is to give legal professionals the core concepts about Artificial Intelligence (AI) and law, and to address questions that arise when AI methods are used in law.
The course provides a practical set of current examples, ideas, and language to help legal professionals engage knowledgeably with AI technology at work. It is for people with non-technical backgrounds who are interested in learning about AI’s effects on current legal cases and legal business methods.
Course description
This course provides a strategic introduction to current technologies in AI applied to law. Topics may be chosen from, but are not limited to, the following: Core introductory concepts of AI; AI applied in the context of law; history of AI applied to law; introduction to Natural Language Processing (NLP) applied in law; introduction to how machines can understand legal languages, the state of the art of AI and Machine Learning applied in law and legal challenges; and issues in AI application to law, currently feasible/infeasible AI solutions in law.
This course, being a concept course and not a programming course, is intended to be interdisciplinary in nature. If you are interested in AI methods in law, you can enroll in this course.
Course delivery
This course is a total of 12 hours and is delivered over a 3 week period in Fall 2021.
A total of 2 hour pre-recorded lectures will be distributed each week, in addition to
2 hours of live online class time from 10:00 am - 12:00 pm MT on Saturdays for 3 weeks.
The class promotes dialogue, discussion and direct engagement with instructors. Course assessment is done through weekly reflection assignments and a capstone project. For this reason, enrollment is capped at 25 students.
Course dates & times
First pre-recorded lecture available: November 6, 2021
Live lectures: 10 am - 12 pm MST November 13, 20, 27, 2021
Prerequisites
Any student who is interested in the AI methods in law can enroll in this course. There are no ‘prerequisites’ in this course. Reading materials will be provided for participants who want background knowledge on some concepts.
Textbooks
No textbook is required, however students will receive a reading list upon registration.
Cost
Professional rate $750 +GST
Student and not-for-profit rate $350 +GST
Proof of enrollment at a registered Canadian academic institution, or employment at a registered not-for-profit, is required for participants at the student and not-for-profit rate. We aim to be inclusive. If you are unsure whether or not your academic institution or not-for-profit employer qualifies, please contact Project Manager Michelle Newlands at mnewland@ualberta.ca.
Credentials
Upon completion of the course, participants will receive a Record of Achievement from the University of Alberta Faculty of Extension.
For more information
For questions about course content and future Digital Law Primers, please contact Project Manager Michelle Newlands at mnewland@ualberta.ca.
For questions about registration, please contact the Faculty of Extension at extnreg@ualberta.ca.
Yann LeCun Professor, New York University
For questions about course content and future Digital Law Primers, please contact Project Manager Michelle Newlands at mnewland@ualberta.ca.
For questions about registration, please contact the Faculty of Extension at extnreg@ualberta.ca.
These courses were developed through the Digital Law & Innovation Society, hosted by the University of Alberta Faculty of Extension, and funded with support from AI4Society, a Signature Area of the University of Alberta.
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