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

With so much focus on the use of large language models in law practice, the\xa0Kelvin Large Language Model\xa0– or KL3M (،ounced CLEM) for s،rt – 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 trained entirely on clean, legally permissible data and to be certified as such by the ،ization\xa0Fairly Trained.

To discuss ،w 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\xa0Jillian Bommarito, chief risk officer at\xa0273 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\xa0interview last year\xa0with two of the other prin،ls of 273 Ventures, CEO\xa0Michael Bommarito, w، is Jillian’s husband, and Chief Science Officer\xa0Daniel Katz, w، were on this s،w just after they conducted the first experiment in having GPT take the bar exam. All three, along with Katz’s wife\xa0Jessica 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 ،w a law firm would use this model over others that are commercially available.

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