GenAI for Legal Risk Management

Learn to leverage AI for proactive legal risk assessment & mitigation. Analyze risks, integrate AI into workflows, address ethics/compliance, and design innovative solutions. For lawyers, compliance officers, executives. No experience needed.

Pawel Mielniczek
Published: Jan 2026
Core
Data Science
4 hours 35 minutes
In partnership with:Coursera
GenAI for Legal Risk Management

Course Overview

In today's high-stakes legal climate, identifying and reducing risks successfully is more than a skill; it's a competitive advantage. Legal professionals want cutting-edge technologies to be competitive, and AI provides unparalleled opportunity to improve risk management. 

This course will provide you with the practical knowledge and effective tactics for using AI for proactive legal risk assessment and mitigation. From comprehending AI's potential in compliance to resolving ethical concerns, you will learn not merely pertinent but transformative insights. 

This course is designed for a diverse group of professionals eager to enhance their legal risk management strategies. It is ideal for lawyers, compliance officers, and in-house counsel looking to leverage AI for automating risk mitigation. Entrepreneurs and executives navigating complex legal landscapes will benefit from proactive tools to manage legal challenges effectively. Additionally, compliance specialists, legal consultants, AI enthusiasts, and legal technology developers will gain valuable insights into integrating AI into traditional legal processes and staying ahead in this transformative field.

No prior experience is required to enroll in this course. All you need is a curiosity about AI's disruptive potential in legal risk management and a drive to enhance legal processes. Whether you're a seasoned professional or transitioning into the legal field, a willingness to learn and embrace AI-driven solutions will ensure your success in this innovative and evolving discipline.

By the end of this course, learners will be able to analyze legal risks using AI techniques and identify potential challenges with AI-driven insights. They will develop strategies for integrating AI into legal workflows, creating efficient and compliant risk management procedures. Additionally, learners will assess ethical implications and compliance considerations of deploying AI in legal settings, while also designing innovative AI-powered solutions for proactive legal risk mitigation.

Skills You Will Gain

AI Enablement
AI Workflows

Course Includes

1k
STUDENTS*
98%
RECOMMEND*

This course includes:

  • On-demand videos
  • Practice assessments
  • Multiple hands-on learning activities
  • Exposure to a real-world project
  • 100% self-paced learning opportunities
  • Certification of completion

Learning Outcomes (At the end of this program, you will be able to...)

  • Learn how to identify and interpret potential legal risks using AI-driven insights.
  • Learn how to effectively create and apply AI solutions for risk management procedures.
  • Explain the compliance and ethical consequences of deploying AI in legal settings.
  • Use innovative methodologies to create AI-enhanced frameworks for anticipating and managing legal issues.

Prerequisites

No prior experience is required to enroll in this course.

Who Should Attend

This course is designed for a diverse group of professionals eager to enhance their legal risk management strategies. It is ideal for lawyers, compliance officers, and in-house counsel looking to leverage AI for automating risk mitigation. Entrepreneurs and executives navigating complex legal landscapes will benefit from proactive tools to manage legal challenges effectively. Additionally, compliance specialists, legal consultants, AI enthusiasts, and legal technology developers will gain valuable insights into integrating AI into traditional legal processes and staying ahead in this transformative field.

Curriculum

Explore the comprehensive, hands-on curriculum designed to build your expertise step by step.

Meet Your Expert Instructors

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*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.