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

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