To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Edited by
Monika Zalnieriute, Law Institute of the Lithuanian Centre for Social Sciences,Agne Limante, Law Institute of the Lithuanian Centre for Social Sciences
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.
Edited by
Monika Zalnieriute, Law Institute of the Lithuanian Centre for Social Sciences,Agne Limante, Law Institute of the Lithuanian Centre for Social Sciences
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.
Edited by
Monika Zalnieriute, Law Institute of the Lithuanian Centre for Social Sciences,Agne Limante, Law Institute of the Lithuanian Centre for Social Sciences
This chapter focuses on the judicial use of AI in German courts. In recent years, the work of German courts has changed significantly due to increasing digitalisation in particular through the introduction of electronic court files and electronic communication with the courts. AI is being used in a number of different applications and is being tested in several pilot projects. After an overview of the court organisation and competences, the most important projects and possible applications of AI in German courts are described. The opportunities and challenges of AI for the German justice system and its impact on the work of German courts are analysed. Applications include automatic speech recognition, data extraction, anonymisation of court decisions, and support for judicial decision-making. These use-cases are then evaluated in the light of German constitutional law and the EU’s AI Act 2024.
Recommend this
Email your librarian or administrator to recommend adding this to your organisation's collection.