This course provides a roadmap for ethical AI integration in high-volume practices through real-world hypotheticals. Attendees will evaluate the duty of Competence (Rule 1.1) regarding AI hallucinations and Confidentiality (Rule 1.6) when vetting intake and drafting tools.
Learning objectives include establishing protocols for the Supervision (Rules 5.1 & 5.3) of AI-generated work, such as RFEs and petitions, to ensure professional accuracy and accountability.
Participants will leave with a framework for maintaining Candor (Rule 3.3) while leveraging automation to protect client interests and maintain ethical standards.
The program will cover the key issues for lawyer leaving government employment including the nuances...
Resilience in the Workplace, delves into the critical importance of resilience in navigating the cha...
This session highlights the legal and compliance implications of divergences between GAAP and IFRS. ...
Part II builds on the foundation established in Part I by examining how classical rhetorical styles ...
Learn about the latest trends in Federal Suspension and Debarments. This presentation will assist yo...
This CLE session introduces attorneys to budgeting and forecasting concepts used in corporate planni...
United States patent law and the United States Patent and Trademark Office’s patent-related gu...
Effective data privacy and artificial intelligence governance programs do not happen by accident. Th...
Aligning Your Legal Career with Your Values, explores the profound impact of values alignment on ind...
Attorneys hopefully recognize that, like many other professionals, their lives are filled to the bri...