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Digital transformation has become a priority for all major companies. This is being driven only further by the spread of artificial intelligence's commercial use cases and ever-tightening data protection and cybersecurity regulations. However, procuring enterprise software (concerning both the development of custom-made software and "off-the-shelf" software developed for mass use) may give rise to various legal issues. Promptly identifying and addressing these issues can help prevent considerable legal and operational expenses, as well as other inconveniences.

Effective from 2 February 2025, the provisions of Chapter 1 and 2 of the EU Regulation no. 2024/1689 laying down harmonised rules on artificial intelligence (“EU AI Act”) regarding AI literacy and the ban on use of AI systems that pose unacceptable risks have entered into force.

The world of data centres is evolving at an unprecedented pace, driven by the ever-increasing demand for AI solutions. At the same time, sustainability challenges, energy efficiency and security of supply are becoming increasingly in focus due to the significant energy demands of data centres. The growth potential of the sector remains attractive, with 70% of investors expecting further growth over the next two years, according to a recent international report* by DLA Piper.

In 2024, EU data protection authorities imposed a total of EUR 1.2 billion in fines. This brings the total value of fines to EUR 5.88 billion since the GDPR became applicable, DLA Piper's latest report reveals.* The technology sector has been hit the hardest, with data protection focusing on managerial responsibility and privacy issues in AI tools.

Last year, a new regulation on artificial intelligence (“AI Act”) was published in the Official Journal of the European Union. This new AI Act lays down legal framework for the development, placing on the market, putting into service and use of artificial intelligence systems (“AI systems”) in the EU, in order to, inter alia, promote the uptake of human centric and trustworthy artificial intelligence, protect against harmful effects of AI systems and to support innovation.

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