Curso de Ciência de Dados: Inteligência Artificial, Ciência de Dados e Direito: Aplicação na Prática

Centro DTIBR's courses open to the public are back! This time, we present the first edition of our course Inteligência Artificial, Ciência de Dados e Direito: Aplicação na Prática (Artificial Intelligence, Data Science and Law: Practical Application). It is the result of months of planning and is aimed at legal professionals in the public or private sector, both those who already work with Data Science and those who are unfamiliar with the subject but want to understand how new technological tools can work in their favor in their day-to-day work.

What is the impact of Artificial Intelligence (AI) on legal decisions? How can I generate intelligence for decision-making in my law firm or company? What is the risk of being replaced by a “robot lawyer”? Our course will answer these and other relevant questions in a technical, well-grounded and realistic way. It will also examine the key points for applying Data Science across the most diverse fields of Law, demonstrating in practice how to use Jurimetrics tools.

Are you interested in the topic? Then take this opportunity and join us!

The course has two modules. The first is theoretical: it will bring participants to the same level and provide the conceptual foundations of the topic, so that even those who do not work with this subject in practice can understand it well and form their own critical opinion. This conceptual part covers topics such as AI regulation and its use in the Judiciary and in legal practice, and also addresses Jurimetrics. It is recommended for anyone interested in the topic.

The second module of the course is the practical part, designed to actually show how Data Science applied to Law works. In it, participants will be introduced to programming techniques and will learn to collect and use data as a decision-making tool, generate charts and even build a simplified artificial intelligence model!

The practical module is recommended for those who are not content with simply understanding Data Science and forming an opinion about it, but also want to work with the tools of this field. Those who choose this module must be willing to do programming exercises and actually use the technological tools covered throughout the course. It is hands-on!

Not sure? Don't worry, each module can be taken separately, as you prefer!

See the bios of the faculty and the teaching assistants by clicking here.

Each activity will be taught live and online, with a focus on the practical, multidisciplinary application of the topics. Our method is highly praised. Learn more about this method by clicking here.

Workload

20 class hours.

Online, via the Zoom Meetings platform.

• Meticulously planned, with Centro DTIBR's quality standard;
• Focus on quality, not quantity;
• Average satisfaction rate among former students above 90%;
• Emphasis on the practical side of the topics, covering real situations illustrated through concrete cases;
• Multidisciplinary, highly qualified faculty with solid experience in both the public and private sectors;
• Ongoing support from teaching assistants, with a distinctive method and plenty of supplementary reading material.

Theoretical Module: students, professionals and researchers from any background or field, in the public or private sector, who want to better understand the topic and form their own critical opinion about it, even if they have never worked with Data Science or AI.

Practical Module: professionals who already work in the field or intend to work with Data Science applied to Law. Participants must commit to doing programming exercises and actually using the technological tools presented throughout the course.

The course comprises the modules listed below. Classes will be online, live on the Zoom platform, on Tuesdays and Thursdays, on March 5, 7, 12, 14, 19, 21, 26 and 28 and April 2 and 4, 2024, from 7:00 pm to 8:50 pm (Brasília time).

1. Class 1 (Theoretical) - Introduction to the course “tools”: Fundamental concepts - March 5; Prof. Leonardo Parentoni

   Objectives and method of the course. Differences between AI, algorithm, model, machine learning and Data Science. Degrees of AI interference in human decision-making and their different legal consequences. Stages in building an AI model, from a theoretical standpoint. Practical exercise: key decisions when calibrating a computer vision model for medical imaging diagnosis.

2. Class 2 (Practical) - Programming Basics for Legal Professionals: First steps - March 7; Prof. Tarik Cesar

   The minimum a legal professional should know about programming. Introduction to programming logic. Installing and using Python with Google Colab. Variables. Loops and conditional structures. Lists: what they are, what they are for and how to work with lists in Python.

3. Class 3 (Theoretical) - Introduction to Artificial Intelligence in Law – March 12; Prof. Leonardo Parentoni

   A very brief history of AI: from Moravec's paradox to generative AI. Concept and types of AI. New challenges for Law. A little about AI regulation, in Brazil and worldwide. In-class exercise: MIT moral machine.

4. Class 4 (Practical) - Data Processing Techniques - March 14; Prof. Yuri dos Santos

   Working with Pandas and Numpy. Importing and exporting Dataframes and Excel files. Creating variables for statistical analysis. Dealing with legal data sources. Data extraction techniques. Ethical considerations in collecting legal data.

5. Class 5 (Practical) - Data Visualization – March 19; Prof. Tarik Cesar

   Exploratory Data Analysis. Producing charts with Matplotlib. Working with Pandas and Numpy to generate charts. Graphical strategies for displaying data.

6. Class 6 (Theoretical) - Jurimetrics: Data Science applied to Law – March 21; Prof. José Faleiros Júnior

   Jurimetrics: where Data Science meets Law. Adoption of jurimetrics in Public Administration in general and in the Judiciary: examples and case studies. Civil liability, data mining and the activities of lawtechs and legaltechs. Self-service, automated decisions and open data. Prospects and challenges for data scientists and data analysts working in the Judiciary: a career not yet regulated.

7. Class 7 (Theoretical) - Labor Law and Data Science – March 26; Prof. Rômulo Valentini

   Big Data, Artificial Intelligence and the Fourth Technological Revolution: transformations in the production process of work. Algorithmic control and subordination – management of work through platforms and computerized systems. Data protection in employment relationships.

8. Class 8 (Practical) - Introduction to Machine Learning – March 28; Prof. Bruno Oliveira

   Concepts of Artificial Intelligence and Machine Learning. Supervised vs. Unsupervised Learning. Interpretability (explainability) of models. Computer vision for lawyers.

9. Class 9 (Practical) - Working with Machine Learning – April 2; Prof. Bruno Oliveira

   ML methods for data classification. Practical case: credit risk. Dimensionality reduction techniques. Practical case: real estate price prediction. Clustering techniques. Image classification with pre-trained models.

10. Class 10 (Theoretical) - How to use Data Science in your work – April 4; Guest Speaker to Be Announced

    This class will be run as a workshop, with the study of a real case of Data Science implementation in a law firm. Analysis of the main challenges, costs, advantages and disadvantages. It closes with suggestions so that you can also carry out such an implementation in your own work, regardless of the size of your organization or its sector of activity.

A certificate will be issued by Centro DTIBR. If the full course is purchased (promotional tier/bundle), a single certificate will be issued to students who attend at least 06 modules (equivalent to approximately 66% of the course). If one or a few modules are purchased separately, an individual certificate will be issued for each module actually attended. The certificate will bear the name provided on the Sympla platform at registration, and no later corrections will be accepted. Therefore, before registering, set your name on the Sympla platform exactly as you would like it to appear on the certificate. Certificates will be sent within 30 (thirty) days after the last module of the course.