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AI for Lawyers: Learning and Leading

What You'll Learn

  • How to avoid the trap of “producing more but understanding less”
  • How to incorporate AI into the classroom
  • How to incorporate AI into professional development programs
  • How to turn AI into a helpful “feedback machine”
2 Modules
4 Hours
2 hrs per module (approx.)
Rating

About AI for Lawyers: Learning and Leading

Explore important questions found at the intersection of artificial intelligence, education, and professional development in the final course of the four-part series “AI for Lawyers and Other Advocates”: How should teachers approach AI?; How should students approach AI?; And what about the leaders of law firms, government agencies, and nonprofit organizations, all of whom know that a key driver of success is making sure their employees have the skills necessary to thrive in a fast-changing world?

Skills You'll Gain

  • AI Agents
  • AI-Based Legal Compliance
  • Communication Strategies
  • Critical Thinking
  • Ethical AI
  • Generative AI Agents
  • Leadership
  • Problem Solving
  • Responsible AI

What You'll Earn

Certificate of Completion
Certificates of completion acknowledge knowledge acquired upon completion of a non-credit course or program.
Experience Type
100% Online
Format
Self-Paced
Cost
$499.00
Subject
  • Business
  • Social Sciences
Platform
Coursera, Michigan Online

Course content developed by U-M faculty and managed by the university. Faculty titles and affiliations are updated periodically.

Welcome Message

Welcome to AI for Lawyers: Learning and Leading, the final course in the AI for Lawyers and Other Advocates series. This course focuses on leading, learning, and making ethical decisions in an AI-driven professional landscape. Learners will examine how AI shapes expertise, feedback, and influence, and develop strategies to lead with clarity, confidence, and responsibility while integrating AI into legal and advocacy practice.
This abbreviated syllabus description was created with the help of AI tools and reviewed by staff. The full syllabus is available to those who enroll in the course.

Course Schedule

Module 1: Producing More, Understanding Less

  • Producing More, Understanding Less
  • Feedback Machines
  • Module One Recap

Module 2: Half-Life Your Message

  • Half-Life Your Message
  • Feedback vs Advice
  • Module Two Recap
  • Course Four Wrap-Up
Grading Policy

Course materials and assignments remain open and available for self-paced learning. To pass the course and earn the certificate, you must achieve an overall grade of 80% or higher.

Your final grade is based entirely on the Course Four Test, which accounts for 100% of your course grade. Knowledge checks and writing activities are ungraded and do not contribute to your final score, but they are strongly encouraged to support your learning.

Course Four Test — 100% of the Course Grade

The Course Four Test consists of the graded quiz and represents the entirety of your final course grade.

Total Course Grade: 100%

Beginner Level

No prior experience required

Enrollment Options

Individuals

$499.00

Earn a University-issued certificate

Michigan Online offers

  • Highest level of platform support directly from Michigan Online
  • Enriched course design that supports engaged learning
  • A credential issued by the University of Michigan to share with your networks

U-M Community

Free

For the U-M community

Members of the University of Michigan community enjoy exclusive benefits.

  • Free access to hundreds of self-paced courses and course series created by University of Michigan faculty (Eligibility: Students, Faculty, Staff, Alumni)

Organizations

Special Pricing

Contact us for pricing options

Partner with Michigan Online for your organizational learning needs. Michigan Online can provide organizations with:

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Reviews and Ratings

4.5

22 Ratings from Coursera

Most Recent Reviews

Read all reviews
MUY BUEN CURSO
Increíble la explicación, te ayuda a tu carrera profesional
Not as engaging as I would have preferred.
Practical concepts and exercises on using AI and LLMs, especially for communication and learning.

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