Our annual poll of experts on the trends and developments to watch out for in 2024 in AI, data privacy, cybersecurity, e-discovery and more.
Robert D. Keeling
A quantifiable look at whether GPT-4 is likely to live up to these expectations in the legal context and, more specifically, as it relates to document review in e-discovery.
Along with offering key impressions of leading providers in the sector, the "9th annual E-Discovery Unfiltered: A Survey of Current Trends and Candid Perspectives" report identifies the market shifts, pricing patterns, artificial intelligence developments, and data management practices that are driving the transformation of e-discovery.
Jessica Lee and Matt Jackson
Emojis can be equally troublesome in any type of business legal case. How are your employees using emojis in text messaging? Awareness can be an important part of risk reduction. We have compiled here a few case law examples where the use of emojis in business communications had surprising legal ramifications.
Attorneys interested in legal technology, data security and e-discovery must grasp the critical differences between two essential methodologies: e-discovery and digital forensics. This article delves into the contrasting features of these methodologies to help attorneys who engage with legal technology better understand the significance of these differences.
Igor Labutov, Bishan Yang and Stephen Dooley
This article seeks to provide clarity and context on the different types of AI available in the legal industry today and how the new GPT technology fits into that landscape. More importantly, it will illustrate the potential impact of the next generation of AI on litigation and legal practice as a whole.
Perhaps the effort to get lawyers comfortable with emerging AI technologies needs to start with the fact that they use models constructed by another group of professionals with a different type of mastery of language — linguists.
Lauren Tringali and Megan Silverman
It is essential to have a quality control plan to ensure the accuracy and completeness of your review are consistent with the certification requirements of Rule 26(g) of the FRCP. To help make this process smoother, we’ve compiled a list of 10 common mistakes in poorly designed QC plans along with practical tips for developing your QC plan so you can avoid these pitfalls.
With proliferating data sources from collaboration apps, cloud technology and innovations like generative AI, along with evolving international data transfer regimes, e-discovery is in a rapid evolution. And the EDRM model is currently in the process of being updated to reflect that.
Jessica Robinson and Amit Dungarani
Part 2 of a Two-Part Article
Part 1 of this article discussed approaches to managing second requests using core project management principles that allow you to control the timeliness, cost, and quality of your organization’s response. This follow-up looks at the pragmatics of strategizing and executing a successful plan.