Field Note: Building the Stool — How to Implement the AI Discovery Standards episode artwork

EPISODE · Apr 8, 2026 · 15 MIN

Field Note: Building the Stool — How to Implement the AI Discovery Standards

from AI Tools for Practicing Lawyers · host Ron Drescher

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 StoolTo use AI in discovery in a way that is more defensible, you need all three of these in place:1) The Vendor LegStart 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 LegBuying the right tool is not enough. You also need to configure it correctly. In this Field Note, I explain a practical workflow for doing that:upload the protocol,have the tool or your IT consultant walk you through the settings,configure the tool,take screenshots,and preserve proof of configuration. 3) The Lawyer LegThis is where the legal workflow becomes defensible. I walk through the downloadable documents that can help lawyers operationalize the standard:a proposed form of ordera notice of intent to use AI in discoverythe protocol itselfand a log template for documenting AI use in the workflow. What You’ll Learn in This Field NoteWhy the vendor leg is probably the easiest part of the stool to satisfyWhy lawyers should not get paralyzed about choosing the “perfect” AI toolHow to use the settings / configuration process to create a more defensible AI environmentWhy preserving screenshots, DPAs, and configuration emails mattersHow the lawyer-side deliverables can help you build a cleaner, more defensible workflowWhy this issue is likely to become a normal part of law practice sooner than many lawyers think Free DeliverablesThe downloadable materials discussed in this Field Note are available here:https://lawyeraitoolkit.com/deliverablesThat page currently includes:AI Discovery ProtocolNotice of Intent to Use AI in DiscoveryProposed Rule 26(f) / Order LanguageAI Discovery Log TemplateKey TakeawayYou do not need perfection. But you do need all three legs of the stool.If you have:the right toolthe right configurationand the right lawyer-side documentation…then you are in a much stronger position to explain and defend your use of AI in discovery. Share ThisIf you know a lawyer who is:experimenting with AI,using it informally,or avoiding it because they don’t trust it yet,send them Episode 008, this Field Note, and the Deliverables page.Because this is exactly the kind of issue where certainty matters.

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 ...

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Field Note: Building the Stool — How to Implement the AI Discovery Standards

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This episode was published on April 8, 2026.

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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...

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