Artificial intelligence (AI) increasingly intersects with judicial processes, raising new challenges for courts and judges. One significant concern linked to this development is the ability of judges and court personnel to understand, evaluate, and critically engage with AI systems. The EU Artificial Intelligence Act adopted in 2024 addresses this directly, requiring public bodies using AI to ensure their staff possess a ‘sufficient level of AI literacy’. This chapter argues that enhancing AI competence among judges and court personnel is essential to safeguarding the right to a fair trial, legal certainty, and the rule of law in an increasingly digitalised legal environment. After providing a brief overview of AI literacy obligations in the EU AI Act, the chapter offers insights into how national judicial training institutions could integrate AI literacy into their curricula.

This chapter introduces the EU AI Act and examines how it will apply to artificial intelligence (AI) used by judicial authorities. The chapter gives an overview of key regulatory concepts of the EU AI Act and discusses its risk classification, particularly which AI systems used by judicial authorities would fall under the category of high- risk AI systems and which other provisions could be relevant for the use of AI by judicial authorities. The chapter investigates practical examples of how the provisions are expected to apply in practice and which obligations follow for judicial authorities, including which exemptions could apply. The author also provides context and rationale for the relevant provisions and their evolution during the legislative process.

This chapter discusses the integration of AI into the judicial systems of Lithuania and Poland. It provides a historical context, outlining the progress of both countries in digitalisation and AI readiness. The chapter notes relevant political and planning documents and then focuses on the current state of AI in non-judicial and judicial activities within the courts of Lithuania and Poland. The authors present technological solutions used for case assignment, case handling, and document processing, anonymisation of judgments, voice-to-text transcription, and tools developed for automating press release preparation. The chapter then explores the potential for AI in judicial decision-making, considering the prospects for partial and full judicial automation and identifying scenarios where AI could play a more significant role without compromising the quality of judicial outcomes. It highlights the Polish pilot project ‘Digital Judge’s Assistant’, and discusses the stringent regulations under the EU AI Act 2024 and the GDPR that govern the use of AI in judicial processes.