Call me lucky. Every week, I get to sit down at the mic for my LawNext podcast and have a conversation with the leading “innovators and entrepreneurs who are driving what’s next in law.”
For me, each and every one of these conversations is fun and fascinating. But I am equally fascinated to add up the numbers at the end of the year and see which topics and guests you, the listeners, found most interesting.
So, as I do every year, I’ve compiled two lists here. The first lists the top 15 episodes published during 2023. After that, I list the top 15 episodes of all time, regardless of when they were published. (The first episode of LawNext was posted on July 16, 2018.) In each case, the rankings are based on unique downloads.
Most popular this year: My interview with Daniel Martin Katz and Michael Bommarito just after their first try at having GPT take the bar exam. Interestingly, another top episode was my interview with the three founders of Casetext — before they announced their $650 million acquisition by Thomson Reuters.
Also popular were my dueling, back-to-back interviews with DoNotPay founder Joshua Browder Kathryn Tewson, the paralegal who investigated DoNotPay’s products; an interview on the Fastcase-vLex merger with the founders of both companies, as well as a reprise of an earlier interview with Fastcase’s founders; an interview with Clio founder Jack Newton on the lessons he’s learned over 15 years; and a 2022 year-end retrospective with LexFusion’s founders Joe Borstein and Casey Flaherty.
Rounding out the most popular this year were interviews with four legal innovation leaders recorded live at the NetDocuments conference, Axiom’s Chief Strategy and Legal Officer Catherine Kemnitz on its opening a law practice in Arizona, Smokeball’s Chief Revenue Officer Jane Oxley and President Ruchie Chadha, Theory and Principle founder Nicole Bradick, Documate founder Dorna Moini on rebranding as Gavel, BYU Law’s Gordon Smith on stepping down as dean, and AltaClaro founder Abdi Shayesteh on training lawyers to use generative AI.