EC Library Guide on legal tech and digital law: EU Publications
EU publications
- 70 years of EU law – A union for its citizens
European Commission: Legal service, Publications Office of the European Union, 2023.
This book celebrates 70 years of EU law. It is written by lawyers whose daily work in the Commission Legal Service ensures that EU law is correctly applied and properly implemented within the Union. EU law is the guiding thread of European integration. All major steps forward in the process of integration are reflected in acts of EU law. EU law characterises the past 70 years of the EU, from the ECSC to the EU of today. In those 70 years, the EU has transformed from an economic union to a union for its citizens.
- The 2024 EU justice scoreboard – Communication from the Commission to the European Parliament, the Council, the European Central Bank, the European Economic and Social Committee and the Committee of the Regions
European Commission, Directorate-General for Justice and Consumers, Publications Office of the European Union, 2024.
This is the 12th edition of the EU Justice Scoreboard. As every year, the Justice Scoreboard provides a summary of data on the three key established elements of effective national justice systems: 1. Efficiency; 2. Quality; 3. Independence. In response to a need for more comparative information, the 2024 edition also contains a set of new indicators. These include statistics on the accessibility to justice for children in civil and in criminal proceedings; notaries and their powers in succession procedures; and the salaries of judicial and prosecutorial expert staff. The 2024 edition also includes an overview of authorities involved in the appointment of court presidents and prosecutors, as well as updated information on the composition of national councils for the judiciary and an overview of the powers of national bodies involved in the prevention of corruption, with a specific focus on asset disclosure. These new indicators, together with the data collected on an annual basis, improve our understanding of the judicial landscape across the EU. Overall, this exercise helps us to understand the European justice systems better.
- Adopt AI study – Final study report
European Commission, Directorate-General for Communications Networks, Content and Technology (CNECT), 2024.
A study commissioned by the European Commission highlights the significant potential of Artificial Intelligence (AI) to improve public sector services across the EU. The report emphasizes that AI can enhance citizen-government interactions, boost analytical capabilities, and increase efficiency in key areas such as healthcare, mobility, e-Government, and education. These sectors are identified as among the most ready for large-scale AI deployment, with applications ranging from autonomous vehicles and smart traffic systems to AI-driven healthcare solutions and education technologies.
However, the study also outlines several challenges hindering AI uptake in the public sector. These include complex public procurement processes, difficulties in data management, a lack of regulatory clarity, and concerns about bias in AI decision-making. In response, the report provides a series of policy recommendations aimed at accelerating AI adoption. These include increasing funding and resources for AI in public services, ensuring transparency and accountability in AI systems, promoting cross-border data sharing, and aligning industry and public sector expectations. The European Commission is advised to create a clear regulatory framework for AI, prioritise long-term implementation, and foster human-centric, trustworthy AI solutions. By addressing these challenges, the EU aims to position itself as a global leader in the development of trustworthy and sustainable AI technologies for the public sector.
- Artificial Intelligence for interoperability in the European public sector – An exploratory study
European Commission, Joint Research Centre, Tangi, L., Rodriguez Müller, A., et al., Publications Office of the European Union, 2023.
This report provides the result of a research study conducted within the context of the Public Sector Tech Watch, an observatory developed by DG DIGIT, with the support of the Joint Research Centre (JRC), that provides a knowledge hub and a virtual space where public administrations, civil society, GovTech companies and researchers can find and share knowledge and experience. The report’s primary goal is to offer an analysis of how Artificial Intelligence (AI) systems are improving interoperability in the European Public Sector. The findings are based on three pillars: (i) a literature and policy review on the synergies between AI and interoperability; (ii) a quantitative analysis of a selected set of 189 use cases fitting the purpose of the research question; and (iii) a qualitative study going deeper into some illustrative cases.
The findings highlight that the one-fourth of the cases collected are using AI techniques to support interoperability through a varied set of applications. Moreover, the semantic interoperability layer is fundamental in most of the cases. In addition, ontologies and taxonomies combined with AI can help in establishing interoperability between different systems. The solutions analysed classify, detect and provide structure, among other actions performed on data. Hence, AI has the capability to standardise, clean, structure and increase the usage of large volumes of data, thus improving overall quality and making it easier to use and share between different systems.
- Artificial intelligence in law enforcement and criminal justice: Impact on fundamental rights
European Parliament, Directorate-General for Internal Policies of the Union. Publications Office, 2020.
This study, commissioned by the European Parliament’s Policy Department for Citizens’ Rights and Constitutional Affairs at the request of the LIBE Committee, examines the impact on fundamental rights of Artificial Intelligence in the field of law enforcement and criminal justice, from a European Union perspective.
It presents the applicable legal framework (notably in relation to data protection), and analyses major trends and key policy discussions. The study also considers developments following the Covid-19 outbreak. It argues that the seriousness and scale of challenges may require intervention at EU level, based on the acknowledgement of the area’s specificities.
- Artificial intelligence supporting cross-border cooperation in criminal justice: Joint report prepared by eu-LISA and EUROJUST
European Union Agency for Criminal Justice Cooperation, European Union Agency for the Operational Management of Large-Scale IT Systems in the Area of Freedom, Security and Justice. Publications Office of the European Union, 2022.
Over the past few years, significant groundwork has been done by both Eurojust and eu-LISA, as well as the European Commission to speed-up digital transformation and the adoption of IT solutions based on artificial intelligence (AI) in the field of Justice and Home Affairs (JHA). For example, the study on Cross-border Digital Criminal Justice, commissioned by DG JUST, performed an assessment of business needs in cross-border criminal justice cooperation and proposed a set of solutions tackling those needs.
These solutions included, for example, the creation of a collaboration platform for Joint Investigation Teams (JITs)1 and a redesigned Eurojust Case Management System, where AI-based components were suggested for both. Artificial intelligence was also defined as a priority area in the Action Plan for e-Justice 2019-2023. This report goes a step further in exploring the relevant technologies and possible use-cases for the application of AI within the judicial field, specifically focusing on the support of cross-border collaboration in criminal justice. The first section of the report sets the scene, outlining the legal and policy context for the introduction of new technologies, including AI, in the field of justice. The second section of the report is dedicated to the discussion of relevant technologies and their possible applications in the context of cross-border criminal justice cooperation.
- Behavioural study on the link between challenges of artificial intelligence for Member States’ civil liability rules and consumer attitudes towards AI-enabled products and services: Final report
European Commission, Directorate-General for Justice and Consumers. Publications Office of the European Union, 2022.
This study, carried out for the European Commission (DG JUST), examines the link between national civil liability rules and consumers’ attitudes towards AI-enabled products and services (AI applications). The study examines, based on behavioural analysis, the following two dimensions: - As regards the societal acceptance of AI applications, the study aims to assess the current level of acceptance of AI applications, the factors shaping it, as well as the awareness of potential challenges in obtaining compensation for damage caused by these applications and its effect on societal acceptance.
With respect to consumers’ trust and willingness to take up AI applications, the study aims to generate insights on the potential impact regulatory alternatives adapting the liability regime might have on consumers’ trust and their willingness to take up such applications, and on the causal mechanisms underlying this impact. The behavioural experiment was built around three types of AI applications and reflected two scenarios of damage caused by such applications: damage caused to the owners of the AI application and damage caused to a third party. Within each of these scenarios, three alternative liability regimes (from the following: fault-based liability with the burden of proof on the victim, a shift of the burden of proof regarding fault, strict liability of the owner = consumer, strict liability of another party) were presented in the form of fictional interviews with a lawyer. A reduced likelihood of obtaining compensation for damage caused by AI was assumed with respect to fault-based liability regimes putting the burden of proof on the injured party. In line with this study’s focus on Member States’ national liability rules, none of the posited alternative liability regimes corresponds to the existing Product Liability Directive.
- Bias in algorithms: Artificial intelligence and discrimination
European Union Agency for Fundamental Rights, Publications Office of the European Union, 2022.
Artificial intelligence is everywhere and affects everyone – from deciding what content people see on their social media feeds to determining who will receive state benefits. AI technologies are typically based on algorithms that make predictions to support or even fully automate decision-making.
This report looks at the use of artificial intelligence in predictive policing and offensive speech detection. It demonstrates how bias in algorithms appears, can amplify over time and affect people’s lives, potentially leading to discrimination. It corroborates the need for more comprehensive and thorough assessments of algorithms in terms of bias before such algorithms are used for decision-making that can have an impact on people.
- Consumer protection in the European Union – Challenges and opportunities
European Commission, Directorate-General for Justice and Consumers, Mascarenhas de Ataíde, R., Barroso Rodrigues, A., et al., Publications Office of the European Union, 2023.
Planned obsolescence is a practice that anticipates the entropy cycle of a product from an objective point of view or just from the consumer's perspective. Recent practices, especially in the electronic goods market, add a second type of obsolescence, caused after the goods are in the consumer's possession and long after the legal warranty has expired. The present study focuses on the framing of this practice of obsolescence, on the offence of the right to repair, and seeks to find the legal response within the European Union Law, in terms of consumer protection.
- Ethical and societal challenges of the upcoming technological storm
European Parliament, Directorate-General for Parliamentary Research Services. Publications Office of the European Union, 2022.
Supported by the arrival of 5G and, soon 6G, digital technologies are evolving towards an artificial intelligence-driven internet of robotic and bionano things. The merging of artificial intelligence (AI) with other technologies such as the internet of things (IoT) gives rise to acronyms such as 'AIoT', 'IoRT' (IoT and robotics) and 'IoBNT' (IoT and bionano technology).
Blockchain, augmented reality and virtual reality add even more technological options to the mix. Smart bodies, smart homes, smart industries, smart cities and smart governments lie ahead, with the promise of many benefits and opportunities. However, unprecedented amounts of personal data will be collected, and digital technologies will affect the most intimate aspects of our life more than ever, including in the realms of love and friendship. This study offers a bird's eye perspective of the key societal and ethical challenges we can expect as a result of this convergence, and policy options that can be considered to address them effectively.
- Glossary of human-centric artificial intelligence
European Commission, Joint Research Centre. Publications Office of the European Union, 2022.
Over the last few years, Artificial Intelligence (AI) has become a very active research topic, moving from a purely technical field to an interdisciplinary research domain and a very active topic in terms of policy developments. The European approach for AI focuses on two main areas: excellence and trust, enabling the development and uptake of AI while ensuring people's safety and fundamental rights.
However, research and policy documentations do not always use the same vocabulary, often generating misunderstandings among researchers, policy makers, and the general public. Based on existing literature in the intersection between research, industry and policy, and given the expertise and know Joint Research Centre, we present here a glossary of terms on AI, with a focus on a human-centric approach, covering concepts related to trustworthy artificial intelligence such as transparency, accountability or fairness. We have collected 230 different terms from more than 10 different general sources including standards, policy documents and legal texts, as well as multiple scientific references. Each term is accompanied by one or several definitions linked to references and complemented with our own definitions when no relevant source was found. We humbly hope that the work presented here can contribute to establishing the necessary common ground for the interdisciplinary and policy-centred debate on artificial intelligence.
- Judicial training – The right skills to embrace the digitalisation of justice – Report, Blue Point Brussels 26, 27 & 28 April 2023
European Commission, Directorate-General for Justice and Consumers, Publications Office of the European Union, 2023.
The conference ‘Judicial Training: The Right Skills to Embrace the Digitalisation of Justice’ took place over three mornings, in Brussels and online, 26-28 April 2023. A series of specialised workshops and plenary sessions focused in depth on the digitalisation of justice, one of the priorities set by the European judicial training strategy 2021-2024. The conference, hosted by the European Commission (EC), brought together over 290 national and European level training providers and associations in charge of training for judges, prosecutors, court and prosecution office staff, lawyers, notaries, bailiffs and prison and probation staff in the EU Member States, the candidate and potential candidate countries, covering 37 countries.
- Law and ICT
European Parliament, Directorate-General for Internal Policies of the Union, Maciejewski, M., European Parliament, 2024
Exponential progress in the area of ICT improves access to data and information, which in its turn can lead to greater accessibility, reduced complexity, efficiency and respect of fundamental rights in policy, law making and implementation of law. Drafting and publication of laws need to be reformed from paper based format to modern digital media. Expertise, evidence and data should constitute mandatory elements of policy and law making. Ex-post quantified evaluation of legislation needs to be applied consistently. This study was prepared by the European Parliament’s Policy Department for Citizens’ Rights and Constitutional Affairs at the request of the JURI Committee.
- Mapping ERC frontier research artificial intelligence
European Commission: European Research Council Executive Agency, Mapping ERC frontier research artificial intelligence, Publications Office of the European Union, 2024.
The European Research Council (ERC) is the premier European funding organisation for excellent frontier research. Since its establishment in 2007, it has been a cornerstone of the EU’s research and innovation funding programmes. The ERC gives its grantees the freedom to develop ambitious research projects that can lead to advances at the frontiers of knowledge and set a clear and inspirational target for frontier research across Europe. The ERC funds a rich and diverse portfolio of projects in all fields of science and scholarship, without any predefined academic or policy priorities. These projects can have an impact well beyond science and provide frontier knowledge and innovation to help solve societal challenges and inform EU policy objectives. This report aims to highlight how ERC-funded curiosity-driven research projects are developing or using Artificial Intelligence in their scientific processes, and how these projects and their outputs can help to both define and enable the implementation of policies related to AI and its cross-cutting applications.
This report represents the first comprehensive analysis of the ERC’s AI portfolio and it is structured as follows: 1. Chapter one provides an overview of ERC-funded projects developing or using AI in science. 2. Chapter two focuses on their scientific landscape by offering a more detailed analysis of their evolution and distribution in ERC scientific domains, disciplines, and topics. 3. Chapter three gives an overview of their policy landscape, that is, by linking the projects to specific policy areas and providing examples that are relevant to the EU policies on AI. 4. Chapter four covers an analysis of a subset of ERC-funded AI projects that pose particularly pressing ethical, legal, and social questions surrounding the development or use of AI.
- Neither fish nor fowl: The challenges of a democratic AI
European University Institute, 2022.
In the current era of rapid technological advancements and big data evolution, one important question revolves around whether the growing development and use of artificial intelligence (AI) systems and their penetration through our societies constitute a threat to our political systems.
Are AI systems better equipped to provide unbiased solutions to political problems compared to the biased human reasoning? Despite the several positive dimensions that AI has brought to our societies, crucial challenges for our democracies have been emerged. However, it would be unwise to immediately reject or fear about the solutions that AI is bringing into politics. In that respect, it becomes necessary to critically investigate and examine thoroughly what original solutions and benefits those AI systems are offering to the political world. Politics is a course of action that is not based on a type of linear and deductive reasoning or some sort of techniques that could optimally minimize situations under uncertainty; it serves to make decisions in the midst of great ambiguity and contingency. Therefore, democratizing AI would be a solution to make AI work for our democratic societies.
- Trends in IT emerging technologies: Focused on the judicial field | Court of Justice of the European Union
Emerging (innovative) technologies substantially transform individual lives and have a profound impact on the fabric of society and the functioning of its institutions. Their use can generate important benefits in various domains, such as healthcare, transport, education, and public administration, generating promising opportunities for humanity at scale. Therefore, competing on the global scene with other actors who are advanced in their use of innovative technologies is critical nowadays. In the case of the juridical sector, some EU Member States already have some emerging technology-based judicial tools implemented and/or have a public political strategy to develop these technologies, including artificial intelligence in the administration of justice.
Beyond that, the COVID-19 crisis has led to a surge in the discussion around increasing the use of these technologies for the digitisation of administrations, the creation of virtual courts, and the potential of algorithms that could be used in Online Dispute Resolution (ODR). Essentially, innovative technology in justice systems can improve administrative efficiency in courts and assist in decision-making processes for lawyers, judges and litigants. However, its integration in the judiciary will require an understanding of the role of innovative technology in different judicial systems and addressing critical legal and ethical challenges that arise in this regard.
- Last Updated: Mar 26, 2025 5:25 PM
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