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KL3M in the Press: Spring 2024 Media Coverage
A roundup of media coverage from Legaltech News, Law360, LawNext, and The Geek in Review covering the launch of KL3M, the debate over domain-specific vs. general-purpose models, and the clean data approach to legal AI.
Since we introduced KL3M in February and announced its Fairly Trained certification in March, the response from the legal technology community has been substantial. Here is a summary of the press coverage from spring 2024.
Legaltech News: “A Gen AI First”
Stephanie Wilkins wrote an in-depth feature for Legaltech News (March 26, 2024), describing KL3M as the first family of LLMs “built from first principles for commercial legal use, rather than fine-tuned, and trained on lawfully obtained, low-toxicity, copyright-friendly datasets.” The article traced the origins of KL3M to a gathering at the 2023 CodeX FutureLaw conference and provided detailed technical coverage of the model architecture and training approach.
Law360: “Vendors Clash On The Best Models For Legal AI”
Steven Lerner covered the emerging debate over model strategy in Law360 (May 1, 2024). The article examined the growing tension in legal technology between larger mainstream models and smaller domain-specific models trained on legal data, a debate that KL3M’s launch helped catalyze. The piece highlighted the tradeoffs between general-purpose capability and domain-specific performance, precision, and data provenance.
LawNext: “The First LLM Built From Scratch for Legal”
Veteran legal journalist Bob Ambrogi dedicated a full episode of LawNext (April 16, 2024) to an in-depth conversation with CRO Jillian Bommarito about KL3M’s development, the clean data methodology, and the Fairly Trained certification process.
The Geek in Review: “Love and Legal Tech”
Greg Lambert and Marlene Gebauer featured CEO Michael Bommarito and CRO Jillian Bommarito on The Geek in Review (March 12, 2024), covering both the technical work behind KL3M and the experience of building a legal AI company as a married couple.
Why This Coverage Matters
The consistent thread across this coverage is the question of provenance: where does the data come from, and what rights do you have to use it? This is not a theoretical concern. As organizations evaluate AI tools for sensitive legal work (contract drafting, due diligence, regulatory analysis), the ability to demonstrate clean, auditable training data is becoming a differentiator. KL3M was built on the premise that this would eventually matter, and the spring 2024 coverage suggests the market is catching up.