Lefebvre Dalloz and Gutenberg Technology Transform Legal eLearning
Lefebvre Dalloz Compétences and Gutenberg Technology have announced a strategic partnership to redefine legal eLearning by transforming static legal content into dynamic, expert-led modules. This collaboration, announced in a press release, aims to leverage AI to create personalized and scalable eLearning experiences for legal professionals.
The partnership utilizes Lefebvre Dalloz's extensive legal content library, which is transformed into modular and interactive eLearning experiences by Gutenberg Technology's AI Course Builder. This tool converts structured content into dynamic modules enriched with quizzes and practical activities, ensuring that legal professionals can stay updated with the latest regulatory changes efficiently.
The first program launched under this partnership has already shown significant impact, with a course on AI in the legal profession logging over 1,000 hours of eLearning and receiving high user ratings. This initiative marks a significant shift in how legal professionals can access and apply up-to-date legal knowledge without the need for prolonged classroom training.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Legal AI Weekly, AI in Education or Daily AI Brief.
Also, consider following us on social media:
More from Legal AI
Sep 20 Litera Brings Foundation Firm AI Search to ChatGPT Enterprise Sep 18 OpenAI Introduces Astra for Law With Legal Search and Firm Controls Sep 17 Relativity connects aiR to ChatGPT Enterprise through MCP Sep 16 Casepoint Appoints Varun Bisht to Lead Governance and Compliance Sep 16 Change Adds California Charity Compliance to K1xMore from AI in Education
Sep 19 Zūm's AI Student Transport Platform Earns Fast Company Design Honor Sep 19 Rutgers and RWJBarnabas Health Launch AWS Health Innovation Hub Sep 19 Florida approves AI rules for public schools and colleges Sep 19 ETERC Introduces Ele AI Mentor for Engineering Education Sep 19 Robots & Pencils Publishes Higher Education AI Governance SeriesLegal AI Weekly
The source for the Legal AI software news, analysis, emerging applications: contract review, e-discovery, research.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Simplilearn and Carnegie Mellon Launch LLM and Multi Agent Systems Program
OpenAI Introduces Astra for Law With Legal Search and Firm Controls
Google Cloud Introduces Gemini Enterprise for Legal in Preview
INSEAD Launches Three Immersive AI Cases
iManage and Thomson Reuters Connect Legal AI Workflows
Daily AI Brief: the AI news that matters, in your inbox.