In previous blog posts, we discussed how large language models (LLMs) can be used in eDiscovery and the importance of data security , keeping costs low, and transparency of data analysis . One of the novel risks introduced by...more
In Parts I and II, we tackled the basics of applying Recall, Rejection, and Precision in evaluating AI’s performance on document and conversational datasets. Part III brings these threads together for legal professionals...more
The use of generative AI in eDiscovery is opening new avenues for efficiency and precision. But, as is often the case with powerful tools, the devil is in the details. A significant part of those details? Prompt engineering....more
12/6/2023
/ Analytics ,
Artificial Intelligence ,
Data Collection ,
Discovery ,
Document Review ,
e-Discovery Professionals ,
Electronically Stored Information ,
Legal Project Management ,
Legal Technology ,
Machine Learning ,
Technology-Assisted Review