AI For Lawyers (II): Tools for Legal Professionals

via FutureLearn

Overview

Explore how Artificial Intelligence (AI) and machine learning are revolutionizing the legal sector in the comprehensive four-week course "AI For Lawyers (II): Tools for Legal Professionals." This insightful course is an extension of "AI for Legal Professionals (I): Law and Policy," aimed primarily at lawyers and legal experts eager to enhance their understanding of AI's impact on the legal field.

In this course, participants will delve into the world of Artificial Intelligence, starting with training in Python—a key programming language in the realm of coding and collaboration. Discover the transformative capabilities of AI and machine learning tools such as Scikit-learn and TensorFlow, and uncover how these technologies are reshaping legal practices.

The curriculum further introduces attendees to the essentials of data mining and legal analytics, emphasizing practical applications in law such as classification, regression, clustering, and ranking problems. Utilize tools like Python, PyTorch, and RapidMiner for effective data mining and information extraction from legal texts and databases.

Enhance your skills in natural language processing and gain practical knowledge in research and knowledge acquisition techniques specifically tailored for the legal profession. The course navigates through the intricacies of legal reasoning and legal design, highlighting the role of AI in computational modeling, data management, and legal data storage and acquisition.

Concluding with cutting-edge topics like Blockchain in law, legal design, and legal forensics, this course offers a holistic view of how AI is shaping the future of legal practice. Whether you're deeply involved in legal and policy issues related to AI development or a legal professional aiming to broaden your tech-savvy horizons, "AI For Lawyers (II): Tools for Legal Professionals" by FutureLearn is your gateway to mastering the digital landscape in law.

Categories include Artificial Intelligence Courses, Machine Learning Courses, Law Courses, TensorFlow Courses, Scikit-learn Courses, and Data Mining Courses.