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AI Generated Librarian as a machine editing a podcast.

This is going to be something that all of you will find “interesting,” but maybe not something that you will like. Last week on 3 Geeks, I posted a blog that talked about how to use AI to generate summaries of legal articles. This week, I wanted to expand on that project a little and see if I could turn the summaries into a podcast. The goal was to try to get it completely automated, and completely AI generated. Well… as you can see from the title of this episode, it was almost completely automated, and AI generated. But not 100%.

Here’s the process I created, and I attached the mp3 of the output.
  • RSS Feed that tracks new BigLaw Podcast Episodes.
  • Use a Python script to pull the episode information.
  • Use GPT to create a description of the episode.
  • Use Descript to translate the text summaries into voice output. (I did lightly edit these with an intro and outro as well as tweak the transitions between each review.)
  • Use Soundraw to create an intro/outro music.
  • Combine in Audacity.
  • Output in mp3.
All of these tools are actually free, except for GPT, which is about $0.01 or less per article.
This is far from perfect, but it is kind of cool, and I think there are some uses for these tools.
Whether you love this, hate this, or don’t really care, I’d like to hear what you think!!
(The AI Generated part starts at the 6:50 mark.)

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Contact Us:
Twitter: @gebauerm, or @glambert
Voicemail: 713-487-7821
Email: geekinreviewpodcast@gmail.com
Music: Jerry David DeCicca
Transcript

Continue Reading The (ALMOST) Completely AI Generated Podcast (TGIR Ep. 186)

DALL-E drawing of a librarian looking over lots of documents.

There is obviously a ton of hype and buzz going on right now with ChatGPT and other AI tools, including this week’s Geek in Review podcast. I wanted to see if there’s something that I could do that was a practical use of GPT in my job as a law librarian. I think I’ve found something that might fit that bill. Summarizing text.

Law Librarians are great at finding good information and getting that quickly into the hands of lawyers, legal professionals, judges, pro se representatives, etc. However, we don’t always have a lot of time to read all of that information and create a summary for the person we are working with. It’s not uncommon for a firm to have 100 – 300 attorneys for each librarian. Any tool that would help librarians synthesize information in a useful way is a welcome tool for us all. I put GPT 3.5 (the paid version) to the test to see how it could be that electronic assistant in summarizing information quickly.

It is early in my experiment, but I’m impressed with what I’ve seen so far.

The Current Process

I wanted to try something that I personally set up for myself that is “good” but not “great.” And that is tracking BigLaw Podcasts as they come out. What I have now is an RSS feed (yes, that is still a thing!) that follows AmLaw 100/200 firms’ websites and lets me know when a new episode comes out. I have that RSS feed set up in my MS Outlook folders. I’m using LexisNexis’ NewsDesk to set this up.

Right now, it looks like this:

This works fine, but it really doesn’t give me a lot of information on the podcast. I’d really like to see more of a summary of the podcast before I make a decision to click through and listen.

The Idea

I’ve got the basic information from the RSS feed, but now I want to expand that information. I’m a former programmer from “back in the day” but I haven’t done any serious programming in a long time. But, I know that Python is a great tool for processing text, so my top-of-the-head idea was to have Python look at my RSS output and see if it could get me more information. Actually, I wanted to see if Python might be able to summarize the RSS information directly. This is where the ChatGPT tool came in handy.
Continue Reading What a Law Librarian Does with AI Tools like ChatGPT – Organize and Summarize

There is a lot of buzz around ChatGPT and GPT 3.5, but is it really the next Tesla, or is it the next IBM Watson? We talk with HyperDraft’s Tony Thai and Ashley Carlisle about OpenAI’s popular tool and why, lawyers at least, shouldn’t be ready to go all in on this specific technology. While there are great examples of how GPT 3.5 impressively handled things like Bar Exam questions, there are still a lot of unknowns from this resource from a company that started out as Open Source and non-profit, but has released a product that is neither.
While the conversation focused a lot on the short comings of ChatGPT, there is a lot of promise in the technology, even if it may be years before it can handle the complex issues that lawyers and the legal community handle on behalf of their clients. Are we going to reach The Singularity in 2023, or is it decades away? Can AI plug the Access to Justice gap, or will it cause more issues than it solves? Will this specific AI tool continue to improve as it devours more data and leverages millions of users, or will it become corrupted by bad actors who discover how it inputs its data?
Can society use this to better ourselves, or will it become another way to play upon our short attention spans?
We cover all of this and more in a roundtable discussion. We’d love to hear your thoughts on what value you see in ChatGPT and GPT 3.5 in the legal industry. So reach out to us on Twitter or give us a call!

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Links:
Contact Us:
Twitter: @gebauerm, or @glambert
Voicemail: 713-487-7821
Email: geekinreviewpodcast@gmail.com
Music: Jerry David DeCicca
Transcript 

Continue Reading ChatGPT – If It Sounds Too Good To Be True… – Tony Thai and Ashley Carlisle (TGIR Ep. 185)

Last Thursday, a group of some 400 legal knowledge management professionals came together for the Strategic Knowledge & Innovation Legal Leaders Summit (SKILLS) conference.  Oz Benamram asked me to pull together a 20 minute recap of all of the presentations that day, and share it with the 3 Geeks’ readers. So, here’s about a 20 minute recap of the 20 presentations for that day. Enjoy!!

Jason Barnwell – Keynote

There are two things that most of us know about Jason. First, he thinks there is always opportunities for improvement. Whether that is for himself, his team at Microsoft, and especially for law firms looking to better service their clients. His takeaway quote for me was when Kay Kim asked him what are law firms doing right and what are they doing wrong?

So the biggest challenge I see is, is structural, and as much as the business model works pretty well for about right now. But it doesn’t necessarily work great for where we’re going.

The other thing that we know about Jason is that if you are presenting on innovation in a law firm, he’s going to ask you specifically “is what you are doing benefitting the law firm only, or does it benefit the client?” So, expect to answer that question… at a minimum to yourself, even if Jason isn’t in the room.

Digital Transformation – Shark-TED-Talk-Tank (Part 1)

I loved all three sessions of our Shark-Ted-Talk-Tank presentations. We were just missing the three billionaires, and the large red carpet. But, the content was all there.
Continue Reading SKILLS 2022 – Recap

While lawyers probably hear every day how Artificial Intelligence is going to change the legal industry, many are still uncomfortable discussing it simply because they don’t understand what exactly AI is, and if it is going to be a good thing or a bad thing for them personally. Kira Systems’ Noah Waisberg and Dr. Alexander Hudek are releasing a book on February 3rd that addresses these issues. AI For Lawyers: How Artificial Intelligence is Adding Value, Amplifying Expertise, and Transforming Careers walks through the questions and gives some easy to understand explanations on how AI is being used in the legal industry. Whether it is document automation, e-discovery, legal research, or a myriad of other legal issues, AI is becoming normalized across practically every task a lawyer or legal professional does. As with most advanced technologies, AI may sound scary, but eventually, it becomes ubiquitous.

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Information Inspirations

The Strategic Knowledge and Innovation Legal Leaders Summit (SKILLS) went online this year using Shindig, and it was a great experience. The audience and presenters found ways to interact, and while LegalWeek may not have happened this year, it was nice to still be able to seek out our conference friends online. Speaking of friends, our fellow 3 Geeks contributor Ryan McClead from Sente Advisors, along with Nicole Bradick of Theory and Principle won the video presentation at SKILLS for their new Map Engine software.

Early podcast guest, Jae Um has a five-part series on what to expect in a post-pandemic era for the legal market. It is a must-read.

We thought that last year’s bar exam was a bit of a mess. Turns out it was more like a mean game of musical chairs. There were definitely winners and losers.

The University of Texas Center for Women in the Law is putting on a free CLE featuring Nina Totenberg and four former clerks of Ruth Bader Ginsburg to celebrate the beginning of their Ginsburg Initiative.

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Please take the time to rate and review us on Apple Podcast. Contact us anytime by tweeting us at @gebauerm or @glambert. Or, you can call The Geek in Review hotline at 713-487-7270 and leave us a message. You can email us at geekinreviewpodcast@gmail.com. As always, the great music you hear on the podcast is from Jerry David DeCicca.

Transcript

Continue Reading The Geek in Review Ep. 103 – AI for Lawyers with Noah Waisberg and Dr. Alexander Hudek

With the new decade comes a new tagline for The Geek in Review introduction. Let us know what you think of the change.

Ellyssa Valenti Kroski is the Director of Information Technology/Director of Marketing at New York Law Institute and is the editor of the new book, Law Librarianship in the Age of AI. Whenever there is a monumental shift in technology and processes, there will be winners and there will be those who are left behind. The authors of this compilation give the readers a path to better understanding what Artificial Intelligence is, and what it isn’t. Ranging from the basic understanding of AI concepts to listing specific tools occupying the AI space within the legal industry, to the benefits, risks, and ethical issues surrounding the tools, this book covers a lot of ground. It’s definitely worth checking out.

In addition to the book, Ellyssa discusses her other books and projects, including makerspaces and using escape room activities for professional development and end-user training. She will be running an escape room event at the  Ark Group’s 14th annual Law Firm Library, Research & Information Services in New York, NY, March 12-13, 2020. The escape room is called Escape the Library: The Search for Alexander Hamilton and the Missing Librarian: A Time Travel Adventure. Apparently, Alexander Hamilton did not die from his duel with Aaron Burr but is actually a time-traveler. Whether true or not,  it sounds like a lot of fun. Attendees can get a 20% discount on the conference by entering the code “ESCAPE” when registering.

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Information Inspirations

We’ve covered how BigLaw is adopting the Mansfield Rule to increase diversity within the ranks and is basing that rule upon the National Football League’s Rooney Rule. Hopefully, BigLaw does better than the NFL has. When the Rooney Rule was adopted in 2003, there were three black NFL head coaches. At one point, that improved to eight. However, habits persist and after nearly seventeen years in, the NFL coaching ranks are back to exactly where we started. Three. If BigLaw is to do better, it must be vigilant, and firms not complying should be called out.

Marlene’s inspiration discusses what happens when your career so encompasses your life, that you can’t separate yourself from your job. In a recent  Harvard Business Review article, author Janna Koretz discusses the effects of what psychologists call “enmeshment” where professionals are so intertwined with their career identity, that they lose their self-identity. She describes ways to understand if your identity has become enmeshed with your career, and methods to break free of that enmeshment. The example she uses is a partner at a large firm, and we all probably know that this type of career/personal identity enmeshment is very prominent within the legal industry.

Listen, Subscribe, Comment

Please take the time to rate and review us on Apple Podcast. Contact us anytime by tweeting us at @gebauerm or @glambert. Or, you can call The Geek in Review hotline at 713-487-7270 and leave us a message. You can email us at geekinreviewpodcast@gmail.com. As always, the great music you hear on the podcast is from Jerry David DeCicca.

Continue Reading The Geek in Review Ep. 63 – Ellyssa Valenti Kroski on Law Librarians in the Age of AI, & a Hamilton Escape Room

I was recently approached by the ARK Group to write a chapter for their forthcoming book about How Intelligence Functions within Law Firms Can and Should Support One Another. For years, and most recently in a series of ILTA webinars on CI, I have been advocating for collaborative intelligence. I may have even blogged about it here once or twice too.  While writing my chapter, with the same title as this post, I was able to articulate a few concepts that I thought were worth sharing and reiterating, even if they all seem obvious.

Data Doesn’t Make Decisions it seems obvious, but I think in all the AI, RoboLawyer hype we need to be reminded.  People are still central to decision making, data in its various forms and all the ranges of analysis from SWOT (simple) to AI algorithms (complex) still does require human intelligence and interaction to get at the nuance and understand sometimes complex emotional context.
Continue Reading Data Doesn’t Make Decisions