Explore our projects & studies

Explore our projects & studies

From Artificial Intelligence to Human-Computer Interaction and Software Architecture, our research team tackles complex problems across many domains. We seek at providing the best of modern technology for public services, health-care and industry.

Yearbook Research and Innovation

Discover our 2024 Research & Innovation Yearbook!

We are delighted to present the first edition of the Research and Innovation Yearbook. This annual retrospective reflects the commitment and ambition of our Research and Technological Innovation Department at Berger-Levrault (also available in French and Spanish versions below). By highlighting our most audacious projects and innovative initiatives, we hope

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Green Technologies

You can not avoid it! — measuring the energy consumption of software systems has become essential

Measuring the consumption of software systems is becoming increasingly important for industries. Software systems accounted for 6% of the world’s energy in 2019, surpassing civil aviation for gas emissions. Governments and European administrations must consider software energy consumption when selecting products to reduce the ecological impact. Thus, it becomes essential

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secrétaire de mairie travaillant sur ordinateur

WeMagnus intelligent assistant: digital innovation for City Hall General Secretaries

As a management platform dedicated to local authorities, Berger-Levrault’s WeMagnus software stands out for solutions based on the latest advances in artificial intelligence (AI) and automated information processing. This new Intelligent Assistant offers users precise, contextualized support. But how was this tool designed? What technologies does it embody? What are

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Julien Breton au colloque Ekaw 2024

Julien at EKAW 2024 for his work on extracting legal data from LLMs

On December 3, 2024 in Amsterdam, Julien Breton – Research Engineer at Berger-Levrault (Team BL.Research) took part in the EKAW 2024 (European Knowledge Acquisition Workshop) conference. His paper demonstrates how the alliance between large language models (LLMs) and software architectures can optimize data annotation: a consequent time and cost saving,

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Camille Gosset Ph.D. thesis defense: “Methods and Models for the Automated Construction of Knowledge Graphs in the Legal Domain: Application to the Legal and Legal-Practical Resources of Local and Regional Authorities”

Thursday 26th of September at 10h a.m. Paris time, Camille Gosset, Ph.D. Candidate has defended her thesis named “Methods and Models for the Automated Construction of Knowledge Graphs in the Legal Domain: Application to the Legal and Legal-Practical Resources of Local and Regional Authorities”. Her thesis defense took place at

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