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From Innovation to Implementation: The Ethics of Generative AI in Law Firms

1h

Created on August 19, 2024

Intermediate

CC

Overview

In the era of digital transformation, Artificial Intelligence (AI) has emerged as a powerful tool with transformative potential for the legal industry. As law firm administrators, managers, and marketers, it is crucial to understand the implications and opportunities that generative AI such as Large Language Models (LLMs) and other technologies present. This program provides legal professionals with the knowledge and insights they need to navigate the complexities of the Generative AI Revolution while mitigating a myriad of risks. This program is designed to address how law firms can leverage generative AI to improve efficiencies, deliver enhanced client services, and drive business excellence.


Learning Objectives:

  1. Review Generative AI: We will delve into the fundamentals of generative AI and its practical applications in the legal industry. Participants will gain a comprehensive understanding of the underlying technologies, including machine learning and natural language processing, and explore use cases that demonstrate the potential of generative AI in legal research, contract analysis, document automation, and more
  2. Identify Benefits and Opportunities: We will explore the benefits and opportunities Generative AI can offer law firms. Participants will gain insights into how Generative AI can streamline routine tasks, improve decision-making processes, and enable lawyers to focus on higher-value activities, ultimately providing a competitive edge
  3. Examine Policy Considerations: Implementing Generative AI in law firms necessitates careful attention to firm policies which must address ethical, regulatory and legal considerations. We will discuss the importance of Generative AI Use Policies when leveraging AI tools. Participants will gain an understanding of the ethical challenges surrounding bias, data privacy, confidentiality, and intellectual property risks along with strategies to address these concerns and ensure responsible AI use
  4. Change Management and Integration: Successful integration of generative AI requires a well-planned change management process. We will explore strategies for overcoming resistance, training, fostering user adoption, and nurturing a culture that embraces innovation

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