enthalten
As the legal landscape evolves, efficiency, accuracy, and flexibility have become critical qualities for maintaining a competitive edge. This course is intended for EU attorneys who want to remain ahead of the curve by understanding the interplay between AI and European regulatory compliance.
This course covers AI's transformational influence on legal practice, focusing on its applications in document review, research, and compliance, as well as critical ethical issues and regulatory frameworks such as GDPR and the EU AI Act. Hands-on exercises will teach you how to automate tedious operations, create AI-driven workflows, and establish strategies for responsible AI governance, giving you a competitive advantage in the ever-changing legal landscape. This course is designed for legal professionals who want to leverage AI to enhance efficiency and streamline workflows. Lawyers, legal counsels, and litigators will gain insights into using AI for case analysis, document automation, and legal research. Compliance officers and risk managers will learn how AI can aid in regulatory adherence, while law firm partners and legal operations leaders will explore AI-driven strategies for improving firm-wide productivity and competitiveness. Participants should have a basic understanding of legal processes and workflows. Familiarity with data protection regulations such as GDPR is beneficial but not mandatory. While prior knowledge of AI or machine learning concepts can be helpful, it is not a requirement, as the course will introduce essential AI applications in the legal domain. By the end of this course, learners will be able to examine AI’s role in legal processes and identify automation opportunities to enhance efficiency. They will implement AI-powered tools to ensure compliance with European regulations, such as the GDPR and AI Act. Additionally, participants will assess the ethical implications of AI in legal practice and develop strategies to mitigate risks while using AI for legal research, document review, and case analysis.
