An innovative course aimed at modernizing legal practice in a context of digital transformation, grounded in the rigor of data science.
November 2025
3 months
B-Learning / After-Work Hours (weekdays – online and Saturdays – in person)
1.950 €
The “DataScience for Lawyers” course stands at the intersection of Law, Mathematics, and Technology. This program has been meticulously designed to equip legal professionals with advanced skills in data science, statistics, and quantitative analysis, focusing on the application of algorithmic methods and predictive models within the legal domain.
The main goal of the course is to foster innovation and optimize legal processes through the integration of machine learning techniques, big data analysis, and data visualization — all aligned with the contemporary needs of the legal sector. By mastering these tools, legal professionals will not only improve the efficiency of case and process management but also make strategic decisions based on quantifiable evidence, reducing uncertainty and mitigating risk.
In a context where digital transformation is redefining paradigms, this course positions itself as an essential tool for the modernization of legal practice, grounded in mathematical precision and the scientific rigor of data science.
Participants in this course will gain a competitive advantage over their peers by developing the ability to innovate in an era increasingly shaped by the application of technology and AI in law.
The “DataScience For Lawyers” course is an intensive training program, structured into five modules, with a total duration of 40 hours. It covers the most important topics relevant to the essential digital literacy of legal professionals.
The course begins with an introduction to data science and its application in the legal field. It then moves on to an exploration of statistics and how it can be applied to the legal sector.
It continues with the technical fundamentals of AI and machine learning, demonstrating practical applications through real-world legal use cases.
Next, the course addresses a range of ethical, legal, security, and data privacy challenges that legal professionals will face when applying data science and AI in their practice.
Participants will be challenged to develop a data analysis project applied to a real-world legal issue, working either individually or in teams, enabling immediate application of the course content.
At the end of the five modules, participants will receive a Certificate of Participation.
In summary, the course offers a unique experience, combining theory and practice, with a strong focus on skill development to tackle challenges and create opportunities for innovation across various areas of the legal sector.
Program
The “DataScience for Lawyers” course is organized into 5 modules. Participants are invited to embark on a journey through data science and statistics as applied to law. They are then introduced to the fundamental concepts of AI and machine learning and their practical application in the legal field. After exploring the ethical and legal boundaries of data science and AI in law — including data security and privacy — they are challenged to develop and present a practical project addressing a real-world legal issue.
Module 1. Fundamentals of Data Science Module 2. Applied Statistics for Law Module 3. Artificial Intelligence and Machine Learning in Law Module 4. Ethical and Legal Challenges of Data Science in Law Module 5. Practical Projects and Case Studies
Understand data science and the role of data in the legal sector.
Provide knowledge of statistical analysis, essential for data-driven decision-making, and its application to law.
Explore fundamental technologies for application in the legal sector: AI, Machine Learning, advanced Excel, and SQL, as well as basic programming concepts.
Learn about the ethical, legal, privacy, and data security challenges related to the application of data science in the legal field.
Develop the ability to solve real-world problems based on data.
Equip participants with skills to integrate effectively into multidisciplinary teams within legal organizations.
The “Data Science for Lawyers” course is designed for legal professionals seeking to integrate technological and analytical knowledge into their legal practice. The course is especially relevant for:
Lawyers in law firms and in-house counsel, judges, and other legal professionals interested in innovation and digital transformation.
Management professionals in law firms aiming to optimize internal processes and increase operational efficiency through data science tools.
Legal consultants who require analytical support for strategic decision-making and risk management.
Entrepreneurs interested in legal technology (legal tech) solutions.
Law students aspiring to work at the forefront of the intersection between Law, technology, and data science.
Associate Professor, NOVA FCT
Isabel Gomes is an Associate Professor in the Department of Mathematics at NOVA School of Science and Technology (NOVA FCT) and a researcher at the NOVA Math research center at NOVA FCT.
Her research focuses on linear optimization modeling and metaheuristics. She has developed optimization models to solve practical problems in logistics management, such as waste collection routing, supply chain planning and design, facility location, and social care logistics.
She holds a Ph.D. in Engineering and Industrial Management from the Technical University of Lisbon, where she addressed the design and planning of closed-loop supply chains. She has been involved in various educational programs at NOVA FCT, from undergraduate to doctoral studies, and is the former coordinator of the Master’s in Mathematics and Applications at NOVA FCT.
President of the Knowledge Institute and Consultant at Abreu Advogados
Luis Barreto Xavier is an Innovation Consultant at Abreu Advogados (since 2018) and President of its Knowledge Institute (since 2019). He is a Visiting Professor at the Faculty of Law of the Catholic University of Portugal, where he teaches and conducts research in the areas of Artificial Intelligence Law (since 2019), Digital Law (since 2023), and Private International Law. He is a member of the Executive Committee of the Research Group on Law and Artificial Intelligence at the Católica Research Centre for the Future of Law. He is co-coordinator of the executive training program “Leading Digital Compliance: Strategies for NIS2, DSA & AI Act” at UCP. He is also co-editor of the book Multidisciplinary Perspectives on Artificial Intelligence and the Law, published in open access by the international publisher Springer in 2024.
Previously, he was the founder and Director of Católica Global School of Law (2009–2018), a school of UCP aimed at an international legal audience and part of international education and research networks. He served as a Teaching Assistant at the Faculty of Law of the University of Lisbon, Legal Adviser to the Secretary of State for Tourism, Senior Consultant at the Legal Center of the Presidency of the Council of Ministers, and Adviser at the Office of the Judges of the Constitutional Court.
Executive Member of the Board of Directors of Abreu Advogados and of the Board of the Knowledge Institute
Ricardo Henriques is an executive member of the Board of Directors of Abreu Advogados and of the management team of its Knowledge Institute. He frequently works with clients on the prevention and/or resolution of Intellectual Property and Information Technology disputes, with a focus on copyright and technology, intellectual property and technology licensing, data protection, cybersecurity, artificial intelligence, and other regulatory matters. He also provides ongoing support to clients of all sizes—from startups to the largest market-leading companies—in the protection and valorization of trademarks, patents, and other industrial property rights, as well as in advertising activities, including contests and sweepstakes.
He advises large national and multinational companies, including those in the automotive, pharmaceutical, services, healthcare, financial, consumer goods manufacturing, hardware and software production, retail, and e-commerce sectors.
Ricardo has taught in postgraduate programs and contributed to various publications on data protection, cybersecurity, and e-commerce topics.
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