AI4LEA project aims at providing Technological Autonomy to Law Enforcement Agencies (LEAs) to prevent and fight against crime and terrorism. The project will create a long-lasting community of LEAs and the R&D industry to foster effective collaboration. Within this community, AI4LEA will explore the use of different tools and techniques, in order to define, develop, share, and evolve open source Artificial Intelligence (AI) based technology solutions for LEAs. AI4LEA adopts a co-development strategy based on fluid, frequent, and fruitful collaboration between all stakeholders, including short development cycles and face-to-face “Hackathons” every 6 months. After the hackathons, LEAs will be able to deploy and test the tools in their own premises and with their own data, while providing feedback to the whole AI4LEA community. The project will expand the initial ASGARD H2020 project by enrolling new member states (essentially by involving new LEAs), by addressing new use cases organized in operational areas (cyber-crime, border security, …) and by disseminating the results through European agencies such as EUROPOL. The definition and design of the AI based solutions will rely on (1) forensics, intelligence and foresight processes, (2) use cases and scenarios driven by end-user needs, (3) Service Oriented Architecture (SoA) technologies and achievable challenges, and (4) Social, Ethical, Legal, and Privacy aspects (SELP). AI4LEA will develop interoperable and easy-to-use sets of tools complementing LEAs’ current systems. The project will have a particular focus on technological breakthrough by exploring the use of AI towards security at and beyond the state-of-the-art. Innovative solutions will help LEAs investigate traditional forms of crimes where digital content plays a key role, cyber-dependent and cyber-enabled crimes. AI4LEA will perform research into the capabilities and weaknesses of AI systems to prevent their malicious usage by cyber criminals. At SELP and privacy dimension, the project will be fully compliant with new legislative framework resulting from GDPR EU directive with emphasis placed on privacy by design and on societal impact. By the end of the project, AI4LEA will extend an active and sustainable community of practitioners at the EU scale with a valid and sustainable model for all participants with successfully delivered and evaluated tools & a collaborative infrastructure allowing the sharing of knowledge while protecting sensitive and sovereign data. Project’s main impact will be to enhance LEAs’ autonomy, efficiency and capabilities in forensics, intelligence, and anticipation/foresight by delivering a set of easily configurable and deployable tools and applications. The tools to be delivered will be prioritised by LEAs. Each tool will be designed and developed to tackle a specific task, whether it be data or task driven. User-friendly and easy-to-use applications will allow very quick definition and set up of ad hoc data acquisition, processing, analysis, and exploitation workflows to tackle the specific needs of each investigation. AI4LEA will also improve LEAs’ capabilities for trans-border LEAs knowledge and data-exchange and collaboration. AI4LEA implements agile and modern continuous development together with integration methodologies and short development cycles. This process ensures the LEAs in the project have early and frequent access to the project results so that they can provide prompt feedback to re-prioritise the work plan if needed. The project adopts a streamlined management and coordination with few partners per task and few tasks per partner. An efficient governance and decision-making mechanisms is set to simplify management and coordination and to facilitate prompt and appropriate issue/conflict resolution.