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Joe Stephens in Legal Reader: AI Adoption Is Outpacing the Rules. Here's How to Stay Ahead of Both.

The ABA Task Force's Year 2 Report on AI doesn't pump the brakes on adoption. Instead, it draws a clear distinction between tools that meet professional standards and those that carry more risk than reward.

Writing for Legal Reader, Joe Stephens, JD, Steno's Director of Legal Solutions, highlights the report's most consequential findings in his article, “How the New ABA Standards Map Out Exactly What Your Legal AI Tool Should Deliver”: what the bench expects AI to do, where the confidentiality traps are, and why the access-to-justice gap is getting harder to ignore as AI costs climb.

Here’s an excerpt from Joe’s article:

The legal industry is undergoing significant change. The ABA Task Force on Law and Artificial Intelligence’s Year 2 Report makes clear that the focus has shifted from whether to adopt AI to how it can be used responsibly. Adoption now outpaces understanding, creating a widening gap between the availability of AI tools and the governance frameworks required for their safe and professional use.

For buyers, evaluators, and developers of legal tools, the report provides a clear checklist for viability. It shifts attention from technical novelty to utility, security, and maintaining professional standards.

The Judicial Validation Checklist

One of the most consequential sections of the report, developed by members of the judiciary, identifies specific litigation tasks where AI assistance is viewed as appropriate and increasingly expected.

By defining these functions, the ABA has set the standard for modern litigation tools and mapped out exactly how the bench expects technology to be used. Meeting this baseline requires tools that can:

  • Search and summarize depositions, exhibits, briefs, and pleadings with traceable citations to source material.
  • Construct accurate timelines of relevant events from disparate data sources without altering underlying testimony or evidence.
  • Conduct legal research with a built-in requirement for manual verification of authority.
  • Audit filings to identify misstatements of law, missing authority, or unsupported factual assertions.

Judicial endorsement of these functions validates software for routine document review. The goal is to convert unstructured data into a coherent, searchable record while preserving the integrity of original testimony and evidence.

Read the full piece on Legal Reader

Joe Stephens, J.D., is a Consulting Attorney specializing in legal AI technology at Steno and a clinical Lecturer at Texas Tech University School of Law. With over 15 years of experience in criminal defense and public service, he founded and led Texas' largest rural public defender office, which serves a 12-county area. A graduate of The University of Texas School of Law (cum laude) and Vanderbilt University (B.A.), Stephens currently serves as a Board Member of the Texas Criminal Defense Lawyer's Association (TCDLA) and sits on multiple State Bar of Texas committees. His expertise spans the intersection of legal practice and technological innovation in the justice system.

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