: This paper is part of a larger, multi-year project looking at representation, efficiency and outcomes in Ontario’s provincial court [1] . As outlined in an earlier Slaw piece on this project (“Using Representation Pathways to Explore Court Data” , October 2025), several parts of this research are ongoing. The paper highlights the “representation pathways” idea, which is being explored as a methodological tool and as a way of better understanding the experience of accused persons in the provincial criminal court system. The research is being carried out using an appearance-based database from the Ontario Court of Justice (OCJ). The data . . . [more] The post It Depends on How You Ask the Question: The True Number of Unrepresented Accused in the Ontario Court of Justice appeared first on Slaw
: Hello. The CALL Private Law Library Special Interest Group met October 2 for the first meeting of the 2024-2025 session. This year we are going to focus on soft skills in private law libraries, and we started with reviewing statistics and data-driven decision making. These decisions can be as simple as which books to weed based on circulation statistics to as in-depth as which products to cancel based on little use. We welcomed a number of private law librarians for a rousing discussion on the use of stats, how we make decisions, how we report the statistics to our managing partner / C-level team / lawyers, and everything in between. We ended with a round table, as we often do, and came up with some ideas for future sessions, including how private firms bill / don’t bill for online research, how to use the stats to inform new training sessions, and will AI ever be able to run stats for us? We concluded with a call for private law librarians to volunteer with CALL’s mentorship program, which is making a com[...]
: This article belongs to the debate » Thinking Machines, Thinking Lawyers14 October 2026The (Currently) Uneven Intelligence of AI in Comparative Constitutional Law From Years of Research to a Single Prompt? Artificial intelligence (AI) has the potential to accelerate and improve the quality of research. This potential has inspired numerous projects exploring how AI could help scholarship on constitutional law. For example, there is research using AI to interpret constitutions,1) apply constitutional principles,2) and predict court rulings.3) Even the question of whether AI could improve the process of constitution-making has been studied.4) AI’s potential is particularly significant for comparative constitutional research. Systematically comparing legal systems requires locating sources from different jurisdictions, which are often difficult to access and only available in local languages. The creation of comparative legal datasets has thus involved considerable personnel, time, and financial resources. AI ca[...]
: Practice Fusion case suggests 6 health privacy pointers lfair June 8, 2016 | 9:01AM Practice Fusion case suggests 6 health privacy pointers By Lesley Fair Combine two of the most talked-about consumer protection topics – health privacy and consumer-generated online content – and what do you get? A proposed FTC settlement with Practice Fusion, the largest cloud-based electronic health records company in the country, and six compliance tips for others in the industry. One of San Francisco-based Practice Fusion’s primary products is an electronic records system for outpatient providers. In 2009, the company launched “Patient Fusion,” an online portal where patients whose providers were already using Practice Fusion could view or download their health information or transmit it to another provider. Patient Fusion also let patients send and receive secure messages from their providers. Fast forward several years and the company decided to expand Patient Fusion to include a public directory where current and prosp[...]