Ep 245: All About KL3M, The First LLM Built From Scratch for Legal, with 273 Ventures’ Jillian Bommarito

Apr 16, 2024

Guest Jillian Bommarito, Partner at 273 Ventures, discusses developing KL3M, the first LLM for legal. The model is trained on clean, legal data, certified by Fairly Trained. Bommarito details its creation, unique dataset, compliance, and managing AI risks. They explore bias, implications for legal advice, advantages in the legal market, and rise of KL3M in legal AI. The conversation covers IP risks, pricing, and enterprise concerns with AI output and copyright issues.

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Introduction

00:00 • 2min

Introducing a Sponsor and Welcoming a Guest

02:12 • 2min

Building the Kelvin Legal Language Model

03:43 • 6min

Building KL3M: Challenges and Implications

09:45 • 10min

Exploring the Advantages of KL3M in the Legal Market

19:56 • 3min

The Rise of KL3M in Legal AI

23:20 • 19min

Exploring Enterprise Concerns with AI Output and Copyright Issues

42:21 • 3min

With so much focus on the use of large language models in law practice, the Kelvin Large Language Model – or KL3M (pronounced CLEM) for short – stands out as distinct for two reasons. For one, it is the first LLM built entirely from scratch specifically for the legal market. In addition, it is the first LLM in any domain to be training entirely on clean, legally permissible data and to be certified as such by the organization Fairly Trained.

To discuss how KL3M was developed and why this built-from-scratch, domain-specific LLM is significant for the legal industry, our guest for today’s LawNext is Jillian Bommarito, chief risk officer at 273 Ventures, the company that developed CLEM. Not only was Bommarito involved in developing KL3M and the data set used to train it, but she also oversaw the process of earning KL3M its Fairly Trained certification.

Regular listeners of LawNext may remember my interview last year with two of the other principals of 273 Ventures, CEO Michael Bommarito, who is Jillian’s husband, and Chief Science Officer Daniel Katz, who were on this show just after they conducted the first experiment in having GPT take the bar exam. All three, along with Katz’s wife Jessica Katz, had formerly founded the legal AI and consulting company LexPredict, which was acquired in 2018 by the global law company Elevate.

In today’s conversation, Bommarito talks about what went into developing the model and creating the dataset to train it, and discusses what it offers the legal market and why and how a law firm would use this model over others that are commercially available.

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