901: Automating Legal Work with Data-Centric ML (feat. Lilith Bat-Leah)

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July 1, 2025 • 66 mins

Senior Director of AI Labs for Epiq Lilith Bat-Leah speaks to Jon Krohn about the ways AI have disrupted the legal industry using LLMs and retrieval-augmented generation (RAG), as well as how the data-centric machine learning research movement (DMLR) is systematically improving data quality, and why that is so important. Additional materials: ⁠⁠⁠⁠⁠www.superdatascience.com/901⁠⁠⁠⁠ This episode is brought to you by the ⁠⁠Dell AI Factory with NVIDIA⁠⁠ and Adverity, the conversational analytics platform⁠⁠⁠. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: (05:45) Deciphering legal tech terms (TAR, e-discovery) (13:47) How legal firms use data and AI (29:01) All about data-centric machine learning research (DMLR) (46:58) Lilith’s career journey in the AI industry

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.css-14f5ked{margin:0;word-break:break-word;display:-webkit-box;-webkit-box-orient:vertical;box-orient:vertical;-webkit-line-clamp:2;overflow:hidden;}901: Automating Legal Work with Data-Centric ML (feat. Lilith Bat-Leah)