In this course, we will challenge you to think of GenAI as a strategic partner in your research and analysis. Not as a magical tool that solves all problems on its own. We will explore how guide it to be your powerful legal assistant that enhances and augments human analytical effort and expertise. We will see how human-supervised GenAI tasks, can help us capitalize on the unique strengths that GenAI presents while accommodating its current limitations. We will focus on analysis and parsing of lengthy statutes and regulatory sections. We will use ChatGPT and Claude – the two most widely available GenAI tools - to establish foundational skills and best practices that you can continue to build upon as you engage with these evolving and innovative technologies. Additionally, we will see how human supervision of GenAI can help accelerate drafting and enable quality assurance checks for human-created draft content.



GenAI for Legal Researchers: Accelerating Case Analysis


Instructeurs : Harvey Zeytuntsyan
Inclus avec
Expérience recommandée
Ce que vous apprendrez
Explain GenAI conceptually and its relationship to legal research and analysis.
Analyze the role of human-in-the-loop and how it unlocks the abilities of GenAI tools.
Apply GenAI to conduct initial legal research of a novel issue area using secondary sources.
Instruct GenAI to navigate, parse, and analyze primary sources such as statutes and regulations.
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mars 2025
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Il y a un module dans ce cours
In this course, you’ll explore the role of GenAI in legal research and analysis, focusing on its capabilities, limitations, and real-world applications in law. Through hands-on experience with tools like ChatGPT and Claude, you’ll learn to leverage AI for parsing statutes, analyzing regulations, and enhancing research efficiency. You’ll also examine the importance of human oversight in AI-assisted workflows, ensuring accuracy, reliability, and ethical use in legal practice.
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16 vidéos9 lectures1 devoir1 évaluation par les pairs2 sujets de discussion
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Recommandé si vous êtes intéressé(e) par Machine Learning
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