AI Gallery: How to Share AI Tips and Techniques Throughout Your Firm
Author: Patrick Barry
Professor and Dir. of Digital Academic Initiatives
University of Michigan Law School/University of Chicago Law School/UCLA School of Law
T&I Committee Member
The December 2025 edition of the ChatPDC series focused on designing and executing high-quality AI training programs. Toward the middle of the session, one of the Zoom participants asked a great question about whether anybody has developed a good way to capture and circulate the AI techniques that a firm’s individual attorneys might have developed on their own. There is likely a lot of solo AI experimentation and learning happening every day in firms, the question implied. But how do you collect and share all that practical knowledge so that more people can benefit from it?
The question seems even more relevant given the role that peer-to-peer influence can play in AI adoption. As Colleen Chien, the Co-Director of the Berkeley Center for Law & Technology, has noted, “We underestimate how much . . . seeing our peers do things has a big impact. It is not going to be because [some tech CEOs] tell you to use a tool, that you’ll use it. You’ll use it because your friend said, ‘Oh my gawd, I just saved all this time by . . . . ‘”
Other participants at the ChatPDC event seem to have come to a similar conclusion. One even shared that her firm has started to send out a weekly email that showcases AI tips and internal success stories. By distributing a regular dose of how different associates and partners are creatively using these tools, the email can (1) rapidly expand the entire firm’s mental menu of AI possibilities and (2) usefully highlight individual people at the firm who are extremely AI savvy, in case anyone wants to seek out those people for a quick tutorial. (If you’re interested in taking a look at a more public collection of AI use cases, check out lists created by the New York Times in 2025 and 2023, as well as resources developed by OpenAI, which is the company that created ChatGPT, and Anthropic, which is the company that created Claude.)
AI Gallery
My own approach to distributing AI use cases focuses on in-person mechanisms, both in the AI courses I teach to law students and the AI trainings I lead at various law firms and public interest organizations. I essentially create an “AI Gallery.”
Step 1: Gather a bunch of different AI use cases, whether internally from people at the firm or externally from articles, books, or podcasts.
Step 2: Tape descriptions of those AI use cases up on the walls of the room where the workshop is being held. Here are two examples:
- #1 Deposition Prep
“I used [AI] to prepare for depositions:
Prompt: I have this document, I want you, [Anthropic’s chatbot Claude], to think through some ways this document fits into the overall case and what’s the most effective way for me to deploy it. Should I start with this question or should I hold it back?
A decent number of times, it would come back with suggestions that were implausible, not helpful, not very good. But you can get instantaneous volume. . . and you can start to pick [the best ones] and put it all together. It’s like a lever for your mind.”
—Christopher Kercher, Partner at Quinn Emanuel (Source: “Winning at Trial with AI,”2025)
- #2 Document Clean-up
“I was working on a document that had a lot of embedded hyperlinks that I needed to be able to quickly pull out and source. Rather than individually go through each one of them, a brilliant colleague on our team had the idea to run [the document] through ChatGPT. It probably cut what was a couple of hours’ worth of work into a matter of minutes.”
—Kaylee Cox Bankston, Partner at Morrison Foerster (Source: AI and the Evolution of National Security, 2025)
Step 3: Give people 10-15 minutes to walk around the AI Gallery.
Step 4: Tell them to write down at least one use case they might test out themselves.
As a final step, I have people get into groups of three or four people so that they can each share which AI use cases particularly resonated with them.
Usually, though, I don’t even have to formally announce this final step, because a nice aspect of the exercise is that it is very social. Once people begin to wander around the AI Gallery, they frequently just start talking to the people next to them about the examples on display, as well as other use cases they have discovered on their own. The gallery productively catalyzes conversation.
Zoom Version
You can also do a version of the AI Gallery exercise via Zoom. Here, for instance, is a Google Doc I created as a substitute gallery for a recent workshop that brought together lawyers from across the country to explore how to leverage AI while working on pro bono projects. The collaborative buzz and energy over Zoom aren’t quite the same as having everybody walk around and chat in the same physical space. But the travel costs are attractively $0.
Plus, sometimes you get really thoughtful questions in the chat, just like the one from during the December ChatPDC webinar that originally prompted this blog post. So thank you to the person who asked it, thank you to the people who responded to it, and thank you as well to the excellent collection of ChatPDC speakers—Crystal Turenne of Jackson Lewis, Christie Mizer of Beveridge & Diamond, and both Brenna Glanville and Erin Tasnady of Milbank—who helped make the webinar as informative as it was engaging. I look forward to commissioning each of them the next time I have the chance to assemble a new AI Gallery!
Professor Patrick Barry teaches courses on communication, creativity, team dynamics, and artificial intelligence at the University of Michigan Law School, the University of Chicago Law School, and the UCLA School of Law. He is also a member of PDC’s Technology and Innovation Committee.