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Ball in your Court

~ Musings on e-discovery & forensics.

Ball in your Court

Tag Archives: ai

Leery Lawyer’s Guide to AI

09 Thursday Jan 2025

Posted by craigball in E-Discovery, General Technology Posts

≈ 10 Comments

Tags

ai, artificial-intelligence, chatgpt, eDiscovery, generative-ai, openai, technology

Next month, I’m privileged to be presenting on two topics with United States District Judge Xavier Rodriguez, a dear friend who sits in the Western District of Texas (San Antonio). One of those topics is “Practical Applications for AI.” The longstanding custom for continuing legal education in Texas is that a presenter must offer “high quality written materials” to go with a talk. I’m indebted to this obligation because writing is hard work and without the need to supply original scholarship, I’d probably have produced a fraction of what I’ve published over forty years. A new topic meant a new paper, especially as I was the proponent of the topic in the planning stage–an ask borne of frustration. After two years of AI pushing everything else aside, I was frustrated by the dearth of practical guidance available to trial lawyers–particularly seasoned elders–who want to use AI but fear looking foolish…or worse. So, I took a shot at a practical primer for litigators and am reasonably pleased with the result. Download it here. For some it will be too advanced and for others too basic; but I’m hopeful it hits the sweet spot for many non-technical trial lawyers who don’t want to be left behind.

Despite high-profile instances of lawyers getting into trouble by failing to use LLMs responsibly, there’s a compelling case for using AI in your trial practice now, even if only as a timesaver in document generation and summarization—tasks where AI’s abilities are uncanny and undeniable. But HOW to get started?

The Litigation Section of the State Bar of Texas devoted the Winter 2024 issue of The Advocate magazine to Artificial Intelligence.  Every article was well-written and well-informed—several penned by close friends—but no article, not one, was practical in the sense of helping lawyers use AI in their work. That struck me as an unmet need.

As I looked around, I found no articles geared to guiding trial lawyers who want to use LLMs safely and strategically. I wanted to call the article “The Leery Lawyer’s Guide to AI,” but I knew it would be insufficiently comprehensive. Instead, I’ve sought to help readers get started by highlighting important considerations and illustrating a few applications that they can try now with minimal skill, anxiety or expense. LLMs won’t replace professional judgment, but they can frame issues, suggest language, and break down complex doctrines into plain English explanations. In truth, they can do just about anything that a mastery of facts and language can achieve.

But Know This…

LLMs are unlike any tech tool you’ve used before. Most of the digital technology in our lives is characterized by consistency: you put the same things in, and other things come out in a rigid and replicable fashion. Not so with LLMs. Ask ChatGPT the same question multiple times, and you’ll get a somewhat different answer each time. That takes getting used to. 

Additionally, there’s no single “right” way to interrogate ChatGPT to be assured of an optimal result. That is, there is no strict programming language or set of keywords calculated to achieve a goal. There are a myriad number of ways to successfully elicit information from ChatGPT, and in stark contrast to the inflexible and unforgiving tech tools of the past, the easiest way to get the results you want is to interact with ChatGPT in a natural, conversational fashion.

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Policy for Student Use of AI

11 Monday Dec 2023

Posted by craigball in Uncategorized

≈ 8 Comments

Tags

ai, asu-prep-digital, chatgpt, generative-ai, international-schools, technology, technology-integration

Andy Williams used to croon that this is “The Most Wonderful Time of the Year.” For me, it’s time to update the curriculum for my class on Electronic Discovery and Digital Evidence at the University of Texas in the graduate schools of Law, Computer Science and Information Science. I’ve long built the course around a Workbook I wrote with readings and some two dozen exercises. But, when I last taught the course a year ago, generative AI was hardly a twinkle in Santa’s eye. Now, of course, AI is the topic that’s eaten all others. So, I’ve had to fashion a policy for student use of AI. I elected to embrace student use of AI tools, in part because legal scholarsip is artful plagarism termed “precedent” and–let’s face it–students are going to use LLMs, whatever I say. So, here’s what I’ve come up with. I’ll be grateful for your feedback as comments, most especially if you are an educator facing the same issues with advice born of experience.

Use of Generative Large Language Models to Assist with Exercises

1. Explicit Disclosure Requirement

  • It is a violation of the honor code to misrepresent work by characterizing it as your own if it is not.  Students may use generative LLMs, such as ChatGPT or Bard, for assistance in completing Workbook exercises; however, they must explicitly disclose the use of these tools by providing a brief note or acknowledgment in their submissions. Transparency is mandatory.

2. Verification and Cross-Checking

  • Students may utilize generative LLMs during Workbook exercises but are required to independently verify and cross-check the information generated by these models through additional research using alternate, reliable sources.

3.  Accountability

  • While generative LLMs are permitted tools, students are held accountable for the accuracy and completeness of the information obtained from these models. Any errors or omissions resulting from the use of LLMs are considered the responsibility of the student. This policy underscores the importance of independent verification and personal accountability.

4. Prohibited for Quizzes and Exams

  • Notwithstanding the foregoing, you may not consult any source of information, including AI resources, when completing quizzes or the final exam.

POSTSCRIPT: I add this a day after the foregoing, after reading that the Fifth Circuit’s proposed a rule change requiring that counsel and pro se litigants certify of any filed document, that “no generative artificial intelligence program was used in drafting the document…or to the extent such a program was used, all generated text, including all citations and legal analysis, has been reviewed for accuracy and approved by a human.” I recall shaking my head at how foolish it was when a grandstanding district court judge made headlines by requiring such certifications following a high-profile gaffe in New York. “Of course a lawyer must verify the accuracy of legal analysis and citations! Lawyers shouldn’t need to certify that we did what we are required to do!”

Yet, here I am requiring my students to do much the same. I feel confident in advising students that, if they use AI, they must verify the information and sink or swim based on what they submit, even if the AI hallucinates or misleads. Back in the day, lawyers knew they had to “Shepardize” citations to verify that the cases cited were still solid. Proffering a a made-up citation was beyond comprehension.

So, am I right to require explicit disclosure of generative AI? Or will AI soon be woven into so many sources of information that disclosure will feel as foolish as requiring students to disclose they used a word processor instead of a typewriter would have been forty years ago? I’m struggling with this. What do you think?

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