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We talk with ⁠Michael Bommarito⁠, CEO of 273 Ventures and well-known innovator and thinker in legal technology and education. Bommarito and his colleague, Daniel Katz were behind ⁠GPT-3 and GPT-4 taking the Bar Exam⁠. While he and Katz understand the hype in the media reaction, he states that most of the legal and technology experts who were following the advancements in generative AI, expected the results and had already moved on to the next phase in the use of AI in legal.

Michael Bommarito on his farm in Michigan, alongside his trusty friend Foggy.

While we talked to Michael a couple of days before the news broke about a lawyer in New York who submitted a brief to the court relying upon ChatGPT to write the brief and not understanding that AI tools can completely make up cases, fact pattern, and citations, he does talk about the fact that we are falling behind in educating law students and other in understanding how to use Large Language Models (LLMs) properly. In fact, if we don’t start teaching 1Ls and 2Ls in law school immediately, law schools will be doing a disservice for their students for many years to come.

Currently, Bommarito is following up his work at LexPredict, which was sold to Elevate Services in 2018, with 273 Ventures and ⁠Kelvin.Legal⁠. With these companies, he aims to bring more efficiency and reduce marginal costs in the legal industry through the application of AI. He sees the industry as one that primarily deals with information and knowledge, yet continues to struggle with high costs and inefficiency. With 273 Ventures and Kelvin.Legal, he is building solutions to help firms ⁠bring order to the chaos⁠ that is their legal data.

AI and data offer promising solutions for the legal industry but foundational issues around education and adaptation must be addressed. Bommarito explains that decades of inefficiency and mismatched data need to be adjusted before the true value of the AI tools can be achieved. He also believes that while there might have been many false starts on adjustments to the billable hour through things like Alternative Fee Arrangements (AFAs) in the past, the next 12-36 months are going to be pivotal in shifting the business model of the legal industry.

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Contact Us: 

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

⁠⁠⁠Transcript⁠:

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Continue Reading Michael Bommarito on Preparing Law Students for the Future, and His Quest on Bringing Order to the Chaos of Legal Data (TGIR Ep. 205)

Benjamin Alarie and Abdi Aidid are legal experts who are heavily involved in the development of legal technology. They are releasing a new book, The Legal Singularity: How Artificial Intelligence Can Make Law Radically Better later this year. 
Benjamin Alarie is a tax law professor at the University of Toronto and has been in the tax law profession since 2004. He became interested in the future of legal education and how artificial intelligence will affect the profession, which led him to co-found Blue J, a legal technology company in Toronto. On the other hand, Abdi Aidid practiced as a commercial litigator in New York before becoming the Vice President of Legal Research at Blue J. He led the team of lawyers and research analysts and helped develop AI-informed predictive tools, which predict how future courts are likely to rule on new legal situations. Abdi is now a full-time law professor at the University of Toronto, teaching subjects like torts and civil procedure.
Naming the book “The Legal Singularity” is a big claim by the authors, so we asked them to explain what they meant by it. According to Abdi Aidid, the legal singularity is the practical elimination of legal uncertainty and its impact on our institutions and society. It is a future state where the law is unknowable in real time and on demand, and we can start doing things that we were not previously able to do because the law was either difficult to ascertain or we did not have a normative consensus around what the law ought to be. The concept of the legal singularity is related to the idea of a technological singularity, but it is not a totalizing event like the technological singularity. Instead, it is an equally socially important concept that focuses on how technological improvements affect the law and related institutions.
Alarie and Aidid suggest that the legal market needs to address bias in AI tools by keeping humans in the loop in arbitration and judicial contexts for a significant period of time. They believe that even as the legal singularity approaches and people begin to have confidence in algorithmic decision making, humans should still be involved in the process to audit machine-generated decisions. They argue that this is necessary because the law deals with deeply human questions, and there is more at stake than just ones and zeros. They believe that humans have to contribute to the legal system’s notions of mercy, fairness, empathy, and procedural justice. They also suggest that involving humans in the process helps to inform the technology before disastrous consequences and helps to refine it. Therefore, they emphasize the need for human review of machine judgments, which will lead to accelerated learning in the law. Furthermore, they highlight that the legal market needs to distinguish between the kinds of problems that are a reflection of unaddressed social problems or those that are new technological problems. They stress that the legal market is still collectively responsible for resolving these issues.

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Transcript

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Continue Reading The Legal Singularity and the Future of Legal Research – Benjamin Alarie and Abdi Aidid (TGIR Ep. 193)