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About Thomas Zacharia

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So far Thomas Zacharia has created 87 blog entries.

January’s Notable Cases and Events in E-Discovery

This Sidley Update addresses the following recent developments and court decisions involving e-discovery issues: 1. an order from the U.S. District Court for the Northern District of California limiting a subpoena to Discord for electronically stored information (ESI) and declining to compel Discord to produce passwords and content for certain accounts, under 28 U.S.C. § [...]

Lessons Learned From the Overuse of ESI Protocols

ESI protocols have become a Frankenstein monster of requirements that create obligations well beyond the Federal Rules of discovery, addressing a vast array of discovery topics including search terms, privilege logs and technology-assisted review. What lessons can we take away from the overuse of ESI protocols? While not found in the Federal Rules of Civil [...]

Six eDiscovery Trends for 2024

2023 was an eventful year in the world of legal technology, with new technology emerging to address both traditional and new challenges legal teams face when collecting, processing, and reviewing data for litigation, investigations, or public access requests. What will 2024 hold, especially in the world of eDiscovery? We’ve captured the top trends for the [...]

Planning to Add More E-Discovery Tools to Your Tech Stack

Is your legal department using multiple e-discovery solutions or review tools? Or is it planning to add another tool to its tech stack? As a Legal Ops professional, you need to figure out whether you need an additional tool when the department has several or whether you want to take advantage of a different pricing [...]

The Importance of Attorney Oversight in ESI Collection; Dangers of Client Self-Collection

In litigation, allowing a client to handle the process of collecting its electronic discovery without adequate attorney oversight of quality control validation can lead to serious trouble for all concerned. Courts throughout the country have repeatedly held that attorneys have professional and ethical duties to ensure the adequacy of their clients’ actions in identifying, preserving, [...]

One Tool, Two Tool, Three Tool: Better?

Many firms and companies may be using multiple eDiscovery solutions or review tools in the course of their investigations and litigation. Or, they may be contemplating adding another tool to the box. This can be for functionality, pricing, or other reasons, and it’s important to determine why. If you’re looking to add a tool, in [...]

Apps That Wipe Out Messages Fast Create E-Discovery Minefields

Ephemeral messaging apps, which automatically erase users’ messages in a short time, are being used more than ever in the workplace. Given the copious amounts of data these apps generate, it’s already having a significant effect on e-discovery and the legal field. This new form of communication hasn’t diminished attorneys’ ethical and legal obligations. Feigning [...]

A False Economy: Skrimping on eDiscovery Technology Won’t Save You Money

Business today is complex. When conflicts, bribery accusations, employment disputes, and white-collar crime allegations emerge, your effective response is a mandatory action. While there are legal and ethical obligations to conduct thorough investigations, the ideal scenario is to mitigate or arbitrate issues before they escalate into full-blown matters. At the same time, eDiscovery technologies and [...]

Five Practice Pointers When eDiscovery Includes Slack and Other Collaborative Messaging Tools

Collaboration tools like Microsoft Teams and Slack are sources of information that often contain highly relevant communications important to any investigation or litigation. Many companies today are adopting these tools as their primary source of internal communication and collaboration. Because many companies have embraced these collaboration tools, so must the litigator when attempting to reconstruct [...]

By |2024-01-09T17:11:55+00:00January 19th, 2024|AI, ChatGPT, Collections, ediscovery, Litigation Support|0 Comments

Researchers warn we could run out of data to train AI by 2026. What then?

As artificial intelligence (AI) reaches the peak of its popularity, researchers have warned the industry might be running out of training data – the fuel that runs powerful AI systems. This could slow down the growth of AI models, especially large language models, and may even alter the trajectory of the AI revolution. But why [...]

By |2023-12-27T16:11:51+00:00January 19th, 2024|AI, Artificial Intelligence, e-discovery|0 Comments
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