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
Recalling our discussion in Part 1 on data security and cost management, this second installment focuses on the critical element of transparency in using LLMs. Understanding how AI tools derive their outputs is essential for...more
Join us for an enlightening webinar where we delve into the future of eDiscovery and investigations powered by artificial intelligence. This session, brought to you by Hanzo and ACEDS (The Association of Certified Ediscovery...more
6/25/2024
/ Artificial Intelligence ,
Corporate Counsel ,
Data Collection ,
Discovery ,
Discovery Costs ,
Document Review ,
e-Discovery Professionals ,
Early Case Assessment ,
Electronically Stored Information ,
Legal Project Management ,
Legal Technology ,
Litigation Strategies ,
Webinars
In the opening segment of our three-part series on optimizing eDiscovery with generative AI, we explore the pressing need for data security and cost-effective strategies in legal tech. The shift towards larger datasets has...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