AltaML helps business leaders understand how artificial intelligence can redefine competitive advantage. Driven by a purpose to apply AI to elevate human potential, we develop powerful software applications that create efficiencies, mitigate risk and drive revenue. AltaML has offices in Edmonton, Calgary and Toronto.

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Bringing the best of the world to Canada, and the best of Canada to the world.

Headquartered in Ottawa, Ontario, Compass.law collaborates with Canadian and global partners to create, support and deliver world-class services that bring choice and competitive discipline to the legal information marketplace.

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Based in the heart of Silicon Valley, Justia’s mission is to advance the availability of legal resources for the benefit of society. We are especially focused on making primary legal materials and community resources free and easy to find on the Internet. The company provides Internet users with free case law, codes, regulations, legal articles and legal blog and twitterer databases, as well as additional community resources. Justia works with educational, public interest and other socially focused organizations to bring legal and consumer information to the online community.

Justia provides premium Web site, blogging and online marketing solutions to help law firms optimize their marketing budget and provide their clients with an increased level of information and service.

Justia is headquartered in Mountain View, California, and has offices in San Jose, San Francisco and Saltillo.

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vLex provides access to a comprehensive collection of legal information from over 130 jurisdictions. Founded over 20 years ago, vLex supports thousands of lawyers, law firms, government departments and law schools around the world. vLex acquired Justis Publishing in March 2019, and have integrated their content and features into the flagship vLex Justis platform.

Their team of over 170 lawyers, engineers and editorial experts continually strive to deliver up-to-date legal information and industry-leading AI-powered legal technology.

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Part of the University of Alberta Department of Computing Science and the Amii (Alberta Machine Intelligence Institute)

The Amii xAI Lab vision is to press the frontiers of scalable methods to build domain models which support explanation of an AI system’s behaviour.

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The Legal Technology Lab at the uOttawa Centre for Law, Technology and Society brings together expertise in law and computer science to rethink legal analysis in the age of big (legal) data. Millions of legal texts exist and each harbours useful insights that can make the law more effective just and accessible. Yet legal scholars typically lack the tools to tap into this resource. Conversely computer scientists have the skills to mine data but not the subject matter expertise to know what questions to asks and what problems to solve. Our Lab integrates expertise from both fields to produce insights that neither discipline could generate on its own.

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CiteRight makes legal research fast, cheap, and simple.

Putting litigation materials together by hand is time-consuming and painful. CiteRight makes it quick, easy, and painless. CiteRight is an intelligent legal assistant that does in minutes what articling students and junior lawyers used to do in hours: format citations, assemble books of authority, and note-up precedents. It saves lawyers’ time and clients’ money, and makes drafting litigation documents smarter, faster, cheaper, and less awful.

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Customer trust starts with privacy, and Private AI makes it easy to add privacy into any workflow. Developed by a team of cutting edge privacy and machine learning researchers and engineers at the University of Toronto, Private AI leverages state-of-the-art AI models to quickly find and de-identify personal data from any dataset to make it compliant and safe for analysis or sharing.

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The Conflict Analytics Lab is a research-based consortium concerned with the application of data science and machine learning to dispute resolution. Conflict analytics is the process of extracting actionable knowledge from negotiation, mediation and settlement agreements such as customer disputes and employment negotiation.

Open-access dispute resolution tools and analytics

Supporting the Queen’s Law Conflicts Analytics Lab in their development of dispute resolution tools, access to the LIDI Data Trust facilitates at faster speeds and lower costs the essential content mining and analysis needed to identify the elements of judicial reasoning relevant to dispute resolution.

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R.G. (Randy) Goebel is currently professor of Computing Science in the Department of Computing Science at the University of Alberta, Associate Vice President (Research & Innovation), Associate Vice President (Academic), and Fellow and co-founder of the Alberta Machine Intelligence Institute (Amii). He received the B.Sc. (Computer Science), M.Sc. (Computing Science), and Ph.D. (Computer Science) from the Universities
of Regina, Alberta, and British Columbia, respectively.

Professor Goebel’s theoretical work on abduction, hypothetical reasoning and belief revision is internationally well known; his recent research is focused on the formalization of visualization and explainable artificial intelligence (XAI). He has worked on optimization, algorithm complexity, systems biology, and natural language processing, including applications in legal reasoning and medical informatics.

Goebel continues to run the Explainable AI Lab within Amii, working in a broad variety of research areas, including algorithm complexity, systems biology, and natural language processing, with a focus on legal reasoning and medical informatics. He is also academic lead of the University of Alberta Precision Health Signature Area.

Randy has previously held faculty appointments at the University of Waterloo, University of Tokyo, Multimedia University (Kuala Lumpur), Hokkaido University (Sapporo), visiting researcher engagements at National Institute of Informatics (Tokyo), DFKI (Germany), and NICTA (now Data61, Australia); is actively involved in collaborative research projects in Canada, Japan, China, and Germany.

Sarah Glassmeyer is a lawyer, librarian and technologist. She received her MLS from Indiana University and her J.D. from the University of Cincinnati College of Law. She has been employed by the American Bar Association Center for Innovation since 2016. Prior to coming to the ABA, she was a research fellow at the Harvard Library Innovation Lab and an affiliate of the Berkman Center for Internet and Society. Sarah is passionate about open tools and content. She has been named to the Fastcase 50, an ABA Legal Rebel and a ABA Legal Technology Resource Center top woman in technology.

Meredith Brown has spent a large part of her legal career as a champion of access to justice, innovation and culture change. As a leader at the Ministry of the Attorney General, she founded the Innovation Office, the first internal change agent of its kind in Canada, working across the justice sector to support transformative approaches, new concepts and different actors. As a partner with CALIBRATE for the past three years, she has worked in Ontario and nationally, supporting governments, civil society organizations and collaborative efforts with strategic approaches, collective dialogue and action. She also works extensively with international organizations and UN agencies to advance the principles of justice, human rights and governance in post-conflict and middle income regions.

Meredith is a vocal advocate for smart, responsible data sharing and stewardship, as a critical tool in advancing access to justice and justice sector transformation.

Noel is senior counsel at INQ data law where his practice focuses mainly on providing legal and ethical advice on the application of emerging technologies. Prior to joining INQ, Noel has served as counsel at the Department of Justice Canada for over 10 years where he co-founded DOJ’s Taskforce on AI. He also worked as Special Advisor to the CIO of Canada on AI policies and implementation. In this capacity he led the development of foundational public policy on artificial intelligence and was the principal architect of Canada’s Algorithmic Impact Assessment Framework..

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