The Geek In Review

You Still Need to Put in the Work: Hyperdraft's Ashley Carlisle and Tony Thai on the AI Hype Cycle


Listen Later

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.


Contact Us:

Twitter: ⁠⁠⁠⁠@gebauerm⁠⁠⁠⁠, or ⁠⁠⁠⁠@glambert⁠⁠⁠⁠
Voicemail: 713-487-7821
Email: [email protected]
Music: ⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠


⁠⁠Transcript


...more
View all episodesView all episodes
Download on the App Store

The Geek In ReviewBy Greg Lambert & Marlene Gebauer

  • 4.7
  • 4.7
  • 4.7
  • 4.7
  • 4.7

4.7

26 ratings


More shows like The Geek In Review

View all
Planet Money by NPR

Planet Money

30,695 Listeners

Pivot by New York Magazine

Pivot

9,556 Listeners

HBR IdeaCast by Harvard Business Review

HBR IdeaCast

1,836 Listeners

The Daily by The New York Times

The Daily

112,416 Listeners

Up First from NPR by NPR

Up First from NPR

56,511 Listeners

Technically Legal - A Legal Technology and Innovation Podcast by Percipient - Chad Main

Technically Legal - A Legal Technology and Innovation Podcast

25 Listeners

LawNext by Populus Radio, Robert Ambrogi

LawNext

36 Listeners

The Prof G Pod with Scott Galloway by Vox Media Podcast Network

The Prof G Pod with Scott Galloway

5,545 Listeners

Hard Fork by The New York Times

Hard Fork

5,518 Listeners

The Ezra Klein Show by New York Times Opinion

The Ezra Klein Show

15,938 Listeners

The AI Daily Brief: Artificial Intelligence News and Analysis by Nathaniel Whittemore

The AI Daily Brief: Artificial Intelligence News and Analysis

610 Listeners

Prof G Markets by Vox Media Podcast Network

Prof G Markets

1,430 Listeners

Legal Innovation Spotlight by Infodash

Legal Innovation Spotlight

9 Listeners

Zach Abramowitz is Legally Disrupted by Zach Abramowitz

Zach Abramowitz is Legally Disrupted

4 Listeners

Further Comments by Damien Riehl & Horace Wu

Further Comments

0 Listeners