Lexum
Lexum
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
Lexum
Lexum
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
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
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
Lexum
Lexum
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

Lexum
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

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