See Credit Details Below
Overview
Daily marketing messages flood our psyches lauding GenAI’s swiftness in generating written content: Ramp up efficiency! Produce faster results! Accelerate your workflow! As legal writers, we might feel like we’re suddenly expected to generate all our written work at the speed of light. But obviously, velocity doesn’t necessarily equate to quality. Instead of succumbing to feeling dazzled, dizzied, or disoriented by GenAI’s lightning-fast output, let’s give ourselves permission to decelerate before accelerating our workflow. This workshop, geared to those in or entering into the legal profession, will explore how to start basic and gently introduce ourselves to GenAI through the skill of “prompt engineering.”
In any new relationship, and certainly in the legal profession, it takes time to learn how to best communicate. By practicing communicating with GenAI chatbots through questions and instructions—like a Socratic dialogue—we’ll get better at understanding how our input drives the quality of GenAI’s output. Ultimately, through experimenting with different prompt engineering techniques, we will feel more empowered to design a methodical step-by-step process for using GenAI tools to generate high-quality legal writing and documents.
Topics will include:
- Introduction to prompting vocabulary for law-related use cases (10 minutes)
- Prompting techniques for legal writers (20 minutes)
- Potential prompting pitfalls for legal writers (10 minutes)
- Incorporating prompting into the legal writing workflow (20 minutes)
Skills credit for NY Attorneys
Who Should Attend: Supervising attorneys, law firm leaders, in-house counsel, summer interns, summer associates, law students, junior attorneys
Program Level: Overview
Prerequisites: None
Advanced Preparation: None
Faculty:
Professor Heidi K. Brown
New York Law School
Author of The Introverted Lawyer, Untangling Fear in Lawyering, and The Flourishing Lawyer
Resources:
Shaking Hands with Generative AI Chatbots | by Heidi K. Brown | Medium
Enhancing GenAI Writing Output Through “See One, Do One, Teach One” | by Heidi K. Brown | Medium