As mentioned in a previous post, the Law via the Internet Conference has returned with renewed energy after a three-year hiatus. We could not ignore this splendid opportunity to meet again with our colleagues from around the world. The conference was hosted in collaboration with the Centre for Computers and Law of the Faculty of […] Read more
Category: Lab
Lexum
Lexum
AI-Powered Summaries for Saskatchewan Case Law Launched in Beta Mode on CanLII
Lexum is pleased to announce a transformative development that has the potential to revolutionize your use of CanLII. Thanks to the support of the Law Foundation of Saskatchewan, we recently introduced a limited volume of AI-powered case law summaries on CanLII for recent decisions from Saskatchewan. Leveraging the experience gained with the CatLII pilot project, […] Read more
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
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
Lexum
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
Lexum
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
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
Pierre-Paul
Lemyre
Lexum’s Approach to Automatic Classification of Case law: From Statistics to Machine Learning
Lexum focus has always been on using the latest technology to automate legal publishing with the goal of improving the cost/benefit ratio of accessing legal information. For this reason, we historically favoured full text search engines over classification systems based on a thesaurus. The manual labelling of judicial and administrative decisions is a labour-intensive process […] Read more
Ivan
Mokanov
AI4A2J
Originally published on Slaw.ca. The title of this post stands for Artificial Intelligence for Access to Justice. It sounds a little like buzzword festival. Rest assured however – there is no mention whatsoever of block chain or design thinking further down in the text. A few months ago we sent out an invitation to industry partners to join Lexum Lab (Lexum’s R&D team) to […] Read more
Lexum
Lexum is Inviting Industry Partners to Join Lexum Lab in Pilot Implementations of Legal Data Enhancement Technologies
Lexum Lab –  Lexum’s R&D unit – currently conducts several projects in the fields of text analysis, information retrieval, metadata extraction, document enhancement, and classification. We use machine learning and deep learning techniques on the millions of documents available on the Canadian Legal Information Institute (CanLII) website. Our approach provides versatile solutions... Read more