[{"url":"https://www.callacbd.ca/CALL-Blog/12197599","source":"Canadian Association of Law Libraries / L'Association canadienne des bibliothèques de droit CALL/ACBD Blog","pubDate":"Mon, 26 Oct 2026 07:55:47 +0100","id":3241459,"titre":"Update from the Knowledge Management Special Interest Group: Web Tracking Tools","description":"From time to time, this blog will highlight initiatives, ideas, or activities coming from members, committees or special interest groups (SIGs). Today: An Update About Web Tracking Tools , by Katie Thomas, Resource and Reference Librarian, Stikeman Elliott LLP (Toronto). The CALL Knowledge Management SIG had a session on November 30 th that looked at Web Tracking Tools. There are a lot of website tracking tools out there so it helps to have a guide to get you started. I based my presentation on the AALL Cool Tools (access only for attendees of American Association of Law Libraries 2021 conference) session where eight trackers were evaluated. In our session I asked the participants to write down sites they would like to track and they were all different. So, there is a need! First, what criteria should be used for evaluating? It depends. Every workplace is different and different things needs to be monitored. However, there are three that stand out. 1.   Ease of Use You don’t want to spend time setting things up and you want to understand WHAT you are setting up 2.   Price A lot of the tools are free and you can continue to have them free forever or, you can pay. Prices vary depending on functionality. 3.   Collaboration This allows you to work with colleagues tracking the same website. Say, if someone is on vacation. What to Track? Any number of things to track. Depends what you want to track! Here’s some that are popular: Prices (book, software, flights, stocks) Are they increasing / decreasing Text tracking Articles, preprints, legislation, case law, newspapers Competitors When does a competitor post commentary on a specific case Archiving Like Wayback, but you can customize for the websites you want Features? What do you want your tracker to do? Here are the popular features: Bulk adding of urls into the tracker Captcha bypass (or I am fed up counting fire hydrants) Password protected pages Proxy support, don’t want tracker to get blocked Tracking multiple elements on one page (there might be pricing data and text you want to capture changes to on the same page) Notification. Or would you prefer Slack, Discord, mobile N.B.: Be careful of “quick” and “instant” – understand what these mean (does quick mean within an hour or 5 minutes) Data export and reports Summary of web tracking tools"},{"url":"https://verfassungsblog.de/the-currently-uneven-intelligence-of-ai-in-comparative-constitutional-law/","source":"Scoop.it - Documentation juridique (Stéphan Cottin)","description":"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 can overcome many of these obstacles. AI models can search for and translate foreign-language sources, filter them, and convert the filtered information into a dataset. In doing so, AI offers the prospect of datasets — which previously required years of research and the efforts of numerous experts and research assistants to compile — being just a prompt away. However, whether AI models can generate comparative law datasets that are qualitatively comparable to human-coded datasets has not yet been addressed (although Guha et al provide an example for a broader legal benchmarking exercise).5) We therefore conducted our own benchmarking study.6) We found evidence suggesting that recent AI models may be able to code simple factual data, but they are likely unreliable substitutes for expert human coders when conceptual or interpretive judgment is required. The Benchmarking Project: Seven Coding Tasks, Four Datasets, Two LLMs In our project, we tested the ability of two large language models (LLMs) to code different types of information relevant to comparative constitutional law. We specifically assessed whether LLMs can reproduce information from four existing comparative constitutional law datasets, all of which were compiled through human coding and which served as a ‘ground truth’ for our exercise. From these datasets, we asked the LLMs to code seven variables, which can be thought of as seven tasks relevant to the creation of comparative constitutional law datasets. Each of these tasks is either a test of fact-finding or reasoning abilities. First, from the Executive Term Limit Evasion Dataset,7) we drew information on whether presidents in 106 presidential systems have evaded constitutionally mandated term limits between 2000 and 2019. The dataset includes one variable on whether presidents attempt to overstay past the end of their term. The second variable captures what strategies executives use for doing so, such as amending the constitution, replacing it with a new one, or asking the court to interpret term limits out of the constitution. While determining whether a president overstayed is a fact-finding task, assessing the strategy used to do so requires reasoning. Second, from the Comparative Constitution Making Dataset,8) we drew information on the process by which constitutions were adopted in democracies between 1900 and 2015. This dataset also includes fact-finding variables such as (1) whether citizens were involved in the formulation, discussion, or submission of reform proposals, and (2) whether citizens participated in popular referendums at any stage in the process. The dataset’s most important variable (3) captures whether constitutions reflect ‘plural elite agreement,’ that is, whether all relevant elite factions in society were involved and represented during the process. The recreation of this variable requires reasoning. Third, from the Characteristics of National Constitutions Dataset9), we drew on its coding of 43 first-generation constitutional","pubDate":"Thu, 15 Oct 2026 08:26:22 +0200","id":3218421,"titre":"The (Currently) Uneven Intelligence of AI in Comparative Constitutional Law"},{"source":"FTC USA Business Blog Posts","url":"https://www.ftc.gov/business-guidance/blog/2014/04/keep-fcra-foreground-when-subject-background-screening","description":"Keep FCRA in the foreground when the subject is background screening chundycz April 9, 2014 | 12:13AM Keep FCRA in the foreground when the subject is background screening By Lesley Fair When the talk turns to Big Data, part of the conversation is about all the public information available about people's lives – and how companies market it to prospective employers, landlords, etc.  Two cases just announced by the FTC  serve as a cautionary reminder to members of the industry that what they do may be subject to the long-standing consumer protections of the  Fair Credit Reporting Act (FCRA) .  InfoTrack, an Illinois company, and San Diego-based Instant Checkmate will be paying civil penalties to settle FTC lawsuits that they violated the FCRA.  Is it time for an FCRA refresher at your business? Instant Checkmate marketed its reports as a way for prospective employers and landlords to investigate applicants.  For example, the company advertised that one of the “GOOD REASONS to get instant criminal checks on anyone right now” was to “check out tenants before they rent.”  It also used a Google Ad Words campaign to make sure its site appeared when people searched for background checks on nannies, babysitters, maids, and housekeepers.  What kind of information would buyers get?  Current and previous addresses, birth certificates, arrest histories, and marriage and divorce records, to name just a few examples. InfoTrack offered similar services to employers nationwide, including background screening reports with people’s driving records, education and employment information, criminal histories, and even records from sex offender registries. How does the FCRA come in?  The law defines a “consumer report” as a “communication of any information” by a consumer reporting agency (CRA) that bears on a person’s “credit worthiness, credit standing, credit capacity, character, general reputation, personal characteristics, or mode of living” which is used (or expected to be used) as a factor in establishing their eligibility for credit, insurance, employment, or other reasons outlined in the law. According to the FTC, what Instant Checkmate and InfoTrack were doing triggered the FCRA.  For example, companies covered by the law must follow procedures to assure their reports are as accurate as possible, must take steps to see that those using their reports have permissible purposes for accessing them, and must provide required User Notices explaining key protections for consumers.  The law imposes special requirements when CRAs provide reports containing public record information that could have an adverse effect on a person’s ability to get a job.  In that case, the CRA must either: 1) notify the consumer that it’s reporting the information in the public record; or 2) maintain “strict procedures” – that’s the language in the law – designed to ensure the reported public information is complete and up to date. You’ll want to read the complaints for specifics of where the FTC says the companies fell short, but one example cited in the lawsuit against InfoTrack offers an object lesson on why FCRA protections are so important to consumers – and how the consequences can be devastating when companies don’t live up to the law.  According to the FTC, the reports InfoTrack provided to prospective employers included information about whether a job applicant was on the National Sex Offender Registry.  The employer would provide the first and last name and the date of birth to help InfoTrack with its search.  The problem was that before the fall of 2011, no date of birth was available for many names on the Registry.  If InfoTrack’s search found more than one person with the same first and last name, it reported a “possible match” to employers and gave them reports that included several different people with the","titre":"Keep FCRA in the foreground when the subject is background screening","id":3198181,"pubDate":"Mon, 05 Oct 2026 14:07:46 +0200"},{"description":"Today, the FTC granted early termination of its review of Mars, Incorporated’s proposed acquisition of Kellanova. Mars is a global manufacturer of pet care, snacking, and food products. Kellanova owns legacy Kellogg brands, including in snacks, crackers, and frozen breakfasts, after spinning off its North American cereals business in 2023 as WK Kellogg Co. “The Commission cares deeply about any competition concerns that affect American consumers, including in food products,” said Daniel Guarnera, Director of the Bureau of Competition. “Commission staff closely reviewed every aspect of this transaction, including both specific product markets and potential portfolio effects from the acquisition. They turned over every stone needed to arrive at a robust assessment of the likely competitive effects of this transaction. After nearly a year of investigation, dozens upon dozens of interviews with non-parties at all levels of the supply chain (including large chains and small, independent businesses), extensive data analysis, sworn testimony from party witnesses, and the review of hundreds of thousands of documents, staff found that the evidence pointed in one direction: this transaction does not meet the standard for an anticompetitive merger set by Section 7 of the Clayton Act.” “In other countries, Mars and Kellanova offer different products than they do in the United States, and they face different market participants, consumer preferences, and shopping practices. Notably, Kellanova continues to sell breakfast cereal in other markets, including the European Union, that it does not sell in the United States,” continued Guarnera. “The Trump-Vance FTC takes an America First approach to antitrust enforcement. Our job is to protect competition and consumers in the United States. Our job is to determine whether there is a violation of American law that we can prove in court. And once we’ve concluded there is not, our job is to get out of the","pubDate":"Thu, 26 Jun 2025 09:50:00 +0200","id":2208210,"titre":"Statement on the Grant of Early Termination of the FTC’s Investigation of the Proposed Acquisition of Kellanova by Mars","url":"https://www.ftc.gov/news-events/news/press-releases/2025/06/statement-grant-early-termination-ftcs-investigation-proposed-acquisition-kellanova-mars","source":"Federal Trade Commission Concurrence communiqués"}]