Qweri is used to convert large and complex text documents (hundreds or thousands of pages long) from a wide variety of input file formats (MS Word, HTML, XML, DITA, or various versions of PDF, including ISO formats such as PDF-A) into a dynamic HTML5 web environment fully integrated into your website. However, Qweri is not […] Read more
Author: Lexum
Automatic Classification Part 2: Use Cases
In our last article on Automatic Classification, we emphasized the science behind the scene. This time, we would like to focus on what you will get from it. Here are a couple of practical use cases to experiment with. Monitoring Recent Cases in a Niche Field For instance, let’s say you are interested in cannabis […] Read more
Lexum to Attend the 2023 ODR Forum in Montreal
Lexum will have the pleasure to attend this year’s Online Dispute Resolution Forum, which will take place in a familiar location: the Cyberjustice Laboratory of the Université de Montréal. On October 11th and 12th, 2023, the 23rd International ODR Forum will gather over 250 innovators, changemakers and thought leaders from various sectors, such as business, […] Read more
The Law via the Internet Conference is Back!
Lexum has always been deeply involved in promoting free access to legal information. As such, we also have strong ties with the FALM movement. In the context of the pandemic, the Law via the Internet in-person conference had to be cancelled. For the first time since 2020, a LVI conference will be held from November […] Read more
LexKey: A Public Language Model Keyword Generator for Legal Documents
As a sequel to our recent post on Automatic Classification, we would like to introduce you to the science behind the show. The following article is adapted from the one presented by Benjamin Cérat, Software programmer at Lexum, as a workshop at ICAIL 2023. The 19th International Conference on Artificial Intelligence and Law took place […] Read more
Automatic Classification on CanLII Part 1: Functionalities
Automatic Classification is a new advanced artificial intelligence feature developed by Lexum for the CanLII website. The Automatic Classification feature leverages artificial intelligence algorithms and natural language processing techniques to categorize legal documents by subject automatically. For this project, Lexum used its own language model. Automatic Classification enhances the search experience... Read more
The Michigan Attorney Discipline Board Improves Public Access to Discipline Decisions
Lexum is happy and proud to announce that the State of Michigan Attorney Discipline Board (MADB) has chosen Decisia to modernize its delivery of information to the public. Over 7,000 legal documents, including notices, orders and opinions, have been migrated from the MADB legacy database and reposted on the MADB public website powered by Decisia. […] Read more
Learning from the Citation Network or How to Boost Your Search Results with AI
Lexum is committed to using Artificial Intelligence (AI) to implement new features and improve our clients’ user experience. Lately, we have been working on a search improvement feature for CanLII that learns from the citation network between cases, and it’s a game changer. This new feature dramatically enhances search through Neural Links and Learning Language […] Read more
Lexum Ranks Among the Top 20 at the Inspiring Workplaces Awards!
We are extremely proud to share that Lexum has ranked as the 19th employer overall at the 2023 Inspiring Workplaces Awards. This is an improvement over the previous year as Lexum ranked 28th in 2022. Even better, Lexum ended up #2 in the Small Business category! Formerly known as the Employee Engagement Awards, the Inspiring […] Read more
CatLII is Back, Summarizing and Analyzing Case Law
Canadian legal researchers got a gentle and friendly purring awakening this morning with the launch of a new pilot project to generate case analysis by artificial intelligence (AI). CatLII is back as a prolific CanLII Connects contributor that summarized hundreds of leading cases from CanLII like it was a ball of yarn. CatLII case analysis […] Read more