HaystackID

👉 Is the industry governing based on what it is, or what it actually does?

Many organizations are developing AI policies that treat every legal AI tool the same.

✍️ But as Esther Birnbaum, Executive Vice President of Data Intelligence at HaystackID®, explains in an article published by Law Journal Newsletters, that's the wrong starting point.

A billing platform, an AI-powered document classifier, and a assistant drafting legal analysis may rely on similar underlying technology, but they don't carry the same professional responsibilities, validation requirements, or ethical obligations ❌.

💬 As Birnbaum wrote: "The problem is not a shortage of rules or methodologies. It is the practice of treating all AI systems as though they raise the same supervisory and validation questions."

Throughout the article, Birnbaum advocates that organizations shift from technology-based governance to function-based governance, outlining how legal teams can apply appropriate levels of attorney oversight, validation, and defensibility based on the role AI plays in the workflow.

Among the key takeaways:
✅ Why operational AI and AI used in substantive legal work require different governance approaches.
✅ How existing ABA Model Rules, Formal Opinion 512, and established validation methodologies already provide the foundation for responsible AI use.
✅ Why identifying an AI tool's function—not simply labeling it "AI"—is the key to building defensible, practical governance policies.

The legal profession doesn't need an entirely new rulebook for AI 📚. It needs to apply the right rules to the right use cases.

🔗 Learn more: https://hubs.ly/Q04pZjp50