See Credit Details Below
Overview
Why You Should Attend:
Knowledge Management & Innovation (“KM&I”) are critical business functions for law firms and legal departments. An effective KM&I strategy can improve and enhance the delivery of legal services and legal operations.
With the advent of Generative AI, KM&I departments have demonstrated they are uniquely qualified to undertake this initiative. KM&I Attorneys often lead or play a key role in Generative AI, KM and innovation projects.
In this half-day conference, you will learn from experienced KM&I attorneys and professionals about practical techniques and innovative uses of knowledge curation, legal technology, and data to leverage Generative AI and drive efficiencies at law firms and legal departments.
What You Will Learn:
After completing this program, participants will be able to:
· Implement best practices and build effective approaches for in-house and law firm KM strategies
· Apply lessons learned from real-world case studies
· Understand how the KM&I team can prepare attorneys and staff to contribute and test use cases to leverage generative AI and large language models
· Help attorneys and professional staff to understand the use cases and risks of large-language-model-assisted legal work
· Learn how to analyze data to assess the effectiveness of Generative AI use cases
Who Should Attend:
KM&I attorneys and legal professionals, who are focused on how knowledge management, innovation, data and Generative AI can improve and enhance the delivery of legal services and legal operations, will benefit from this convenient half-day program.
Not-for-profit and private practice lawyers – from solo practitioners to those working at the largest firms – as well as in-house lawyers who want to understand how they can contribute to and foster a culture of knowledge management and innovation and participate in Generative AI initiatives at their organizations will also benefit from this program.
Program Level: Beginner, Intermediate, Advanced
Prerequisites: None
Advanced Preparation: None