Apr 29 2024 34 mins 3
In this episode of The Geek in Review podcast, hosts Marlene Gebauer and Greg Lambert welcome back Richard Tromans, founder of Artificial Lawyer, after his year-and-a-half sabbatical. Tromans shares his insights on the impact of generative AI on the legal industry and discusses his upcoming Legal Innovators conferences in California and London.
Tromans observes that while the legal industry is generally enthusiastic about the potential of generative AI, there is a stark contrast in the perception of its impact outside the legal bubble. He believes that the technology will have a significant effect on the legal sector, but it will be mostly benign, with the potential to add value to the profession once the hype and cynicism subside.
The key to real transformation, according to Tromans, lies in integrating AI throughout the entire business process, rather than using it as a mere helper tool. This integration should encompass document management systems, knowledge management capabilities, templates, and precedents. However, he emphasizes that the current economic model of the legal industry must adapt to the technology for true transformation to occur.
Tromans also discusses the upcoming Legal Innovators California conference in San Francisco, which will focus on generative AI, standardization, and the infrastructure needed to support the evolving legal landscape. The event will feature speakers from law firms, in-house legal departments, academia, and major tech companies.
Looking ahead, Tromans believes that the biggest challenge for the legal industry over the next two to five years will be the willingness of clients and law firms to embrace change and rethink their processes. He argues that the industry could have adopted AI-driven solutions years ago, but the impetus to do so was lacking. The success of this "gentle revolution" will depend on the ability of clients and law firms to challenge assumptions and adapt to the changing technological landscape.
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Music: Jerry David DeCicca
Transcript
