Our Insights on eDiscovery

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