Tony Thai and Ashley Carlisle of HyperDraft, return to The Geek in Review podcast to provide an update on the state of generative AI in the legal industry. It has been 6 months since their last appearance, when the AI Hype Cycle was on the rise. We wanted to get them back on the show to see where we are on that hype cycle at the moment.
While hype around tools like ChatGPT has started to level off, Tony and Ashley note there is still a lot of misinformation and unrealistic expectations about what this technology can currently achieve. Over the past few months, HyperDraft has received an influx of requests from law firms and legal departments for education and consulting on how to practically apply AI like large language models. Many organizations feel pressure from management to "do something" with AI, but lack a clear understanding of the concrete problems they aim to solve. This results in a solution in search of a problem situation.
Tony and Ashley provide several key lessons learned regarding limitations of generative AI. It is not a magic bullet or panacea – you still have to put in the work to standardize processes before automating them. The technology excels at research, data extraction and summarization, but struggles to create final, high-quality legal work product. If the issue being addressed is about standardizing processes or topics, then having the ability to create 50 different ways to answer the issue doesn't create standards, it creates chaos.
Current useful applications center on legal research, brainstorming, administrative tasks – not mission-critical legal analysis. The hype around generative AI could dampen innovation in process automation using robotic process automation and expert systems. Casetext's acquisition by Thomson Reuters illustrates the present-day limitations of large language models trained primarily on case law.
Looking to the near future, Tony and Ashley predict the AI hype cycle will continue to fizzle out as focus shifts to education and literacy around all forms of AI. More legal tech products will likely combine specialized AI tools with large language models. And law firms may finally move towards flat rate billing models in order to meet client expectations around efficiency gains from AI.
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Music: Jerry David DeCicca
Transcript
Conversations on Race in the Legal Industry - Bryan Parker and Jonathan Greenblatt
The Georgia Copyright Trilogy… The Final Chapter
The Do's and Don't's of Virtual Conferences - Litera's Haley Altman and Alma Asay
Launching the Legal Value Network - Kristina Lambright and Purvi Sanghvi
Why Retention of Legal Talent Can't Be The Equivalent of a Coin Flip - Bryan Parker of Legal Innovators
Heidi Gardner and Brian Stearns: Remote Collaboration from Tools to Psychology
Let's Talk About Our Side Projects
Charlie Uniman - Failure is not the Ugly F-Word Lawyers Think It Is
A Chat About Chatbots and The Law With Katherine Lowry and Diego Alcala
What Should Law Firms Do To Prepare for a Possible COVID-19 Epidemic? With the ALA's April Campbell
The Innovative Concept of Legal Writing in Plain English
Nick Pryor and BCLP³'s Global Innovation Mission
Professor Steve Black on Cybersecurity in the Legal Market
Matt Sunbulli on Fishbowl's Entry into the Legal Industry Social Media Space
The Leadership Journey with Laura Toledo and Kevin Iredell
Ellyssa Valenti Kroski on Law Librarians in the Age of AI, and a Hamilton Escape Room
Professor Ben Barton on Fixing Law Schools
Deep Dive on State Copyright Issues with Kyle Courtney and Ed Walters
The AALL Animal Law Caucus: Acknowledging and Researching Animal Rights in a People-Centric World
Alyson Carrel and Cat Moon on The Delta Model
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