Field Note: Building the Stool - How to Implement the AI Discovery Standards - AI Tools for Practicing Lawyers

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AI governance Legal AI AI discovery law practice management discovery workflow

Episode notes

In this companion Field Note to Episode 008, Ron walks through the practical steps lawyers can take to implement the emerging AI discovery standards discussed in Jeffries v. Harsco . He breaks the process into a simple three-legged stool : choosing the right vendor , properly configuring the tool , and handling the lawyer-side workflow and documentation needed to make AI use in discovery more defensible. In Episode 008, I talked about the emerging legal standard for using AI in discovery and why lawyers need more certainty in this area. In this Field Note, I focus on the practical question: How do you actually implement it? The answer, in my view, is a simple framework: The Three-Legged Stool To use AI in discovery in a way that is more defensible, you need all three of these in place: 1) The Vendor Leg Start with the right environment. In practice, that usually means an enterprise-level AI tool - one that operates in a closed system , does not train on client data , provides a secure environment , allows deletion , and gives you a way to define who has access . 2) The IT / Configuration Leg Buying the right tool is not enough. You also need to configure it correctly.

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