Our Insights on eDiscovery

One of the biggest cost drivers in eDiscovery is data volume —the more data you have, the more expensive it is to process, host, and especially review. That is why culling data before review isn’t just a best practice — it’s a financial imperative.

Migrating 15-16 active cases at once was no small feat, especially with data exported in mixed formats that required adjustments before importing into CloudNine. Early setup challenges, such as limited initial access to the Discovery Portal, were swiftly addressed with hands-on support from CloudNine’s expert services team. Despite these hurdles, the firm quickly realized the advantages of CloudNine’s platform, including seamless remote access, faster search and tagging capabilities, and a more intuitive upload process.

AI is rapidly transforming the e-discovery field, with law firms, corporations, and e-discovery vendors expressing growing interest in incorporating AI into their workflows. Many organizations have already begun exploring AI, creating internal task forces to identify use cases and develop policies. However, adoption is cautious due to concerns about data privacy, lack of clear policies, and the potential for errors.

With mobile devices, social media, and collaboration tools now serving as primary business communication channels, legal professionals must rethink how they preserve, collect, and produce this data. Our discussion explored recent case law, evolving trends, and best practices to stay ahead of the curve.

There’s a moment when every new technology shifts from novelty to necessity. Think about the first time you used GPS instead of printing out MapQuest directions (or, for the true old-schoolers, unfolding a giant road atlas or Rand McNally folding maps). At first, it felt unnecessary—maybe even risky. “I know how to get there,” you’d say. But then, one day, you hit a roadblock, and your GPS rerouted you seamlessly (“re-routing” ring a bell?). You arrived faster, stress-free, and never looked back.

As 2024 concludes, the eDiscovery and legal technology sectors have experienced significant advancements, particularly in the realms of modern data management and generative artificial intelligence (AI). In this article, we will explore what we have learned this year at the various thought leadership and industry conferences, how our innovations have benefited legal teams and how our partnerships allow our clients to have a fully streamlined experience with their eDiscovery and investigation challenges.

How Data Processing Automation for Traditional and Modern Data Mitigates the Need and Cost to Manually Process Data

How Data Processing Automation for Traditional and Modern Data Mitigates the Need and Cost to Manually Process Data

On September 18th, I had the opportunity to attend The Masters Conference in Seattle, WA, for my second time, hosted by Perkins Coie. This year, I was struck by how much the technology landscape in eDiscovery has evolved, especially with the rapid integration of Generative Artificial Intelligence (GAI). While GAI was a major theme throughout the conference, one session stood out for its exploration of the broader challenges faced in modern eDiscovery.