Guest Writers

Many organizations approach AI-powered legal data review as a technology problem. While the technology itself is critical, it is only part of the equation. The rest is transforming the workflows that govern how legal teams identify, prioritize, analyze, and act on information.

Redgrave LLP recently conducted a head-to-head study comparing a generative AI review workflow to a first-pass managed review workflow using active learning. For legal teams thinking about how gen AI may fit into their legal projects, five practical lessons stood out.

DSAR management is moving higher up the executive agenda. What was once viewed as a narrow privacy compliance function is increasingly recognised as an operational issue with significant cost, risk, and resource implications.

Many organizations approach AI-powered legal data review as a technology problem. While the technology itself is critical, it is only part of the equation. The rest is transforming the workflows that govern how legal teams identify, prioritize, analyze, and act on information.

Redgrave LLP recently conducted a head-to-head study comparing a generative AI review workflow to a first-pass managed review workflow using active learning. For legal teams thinking about how gen AI may fit into their legal projects, five practical lessons stood out.

DSAR management is moving higher up the executive agenda. What was once viewed as a narrow privacy compliance function is increasingly recognised as an operational issue with significant cost, risk, and resource implications.

A recent webinar brought forward-looking insights across product, client strategy, business development, and legal innovation perspectives. The discussion centered on where AI is driving value and the shifts legal teams may want to prepare for in 2026.

Artificial intelligence is already transforming how investigations are conducted. With it, we can accelerate document review, uncover insights faster, and surface connections that might have taken weeks to find manually.

Generative AI is redefining workflows for first-pass review. Ben Sexton from JND provides a detailed case study demonstrating how iterative prompts, smart workflow decisions, and rigorous validation helped streamline a massive doc review project.

PLUSnxt is not just using experimenting with aiR; they are designing and scaling smarter processes around it. Learn how combining aiR for Review and aiR for Privilege helped them build leaner, more defensible review processes tailored to each matter.

With their increased complexity, DSAR reviews need to be tackled much like litigation discovery: sifting through large data sets from multiple sources, under tight deadlines, with a need for accuracy and defensibility.

As generative AI becomes central to legal workflows, explainable solutions are essential for harnessing the technology while maintaining expertise, judgment, and ethical rigor. Learn how this attorney takes advantage, to the benefit of his career.

Generative AI has rapidly evolved from a buzzword to a transformative force in the e-discovery industry. In a recent fireside chat, industry experts shared their experiences with AI-driven review tools.

The Rise and Run has become a tradition and a wonderful community effort at Relativity Fest, Legalweek, and even more events. Together, we have raised thousands of dollars for the Lung Cancer Foundation of America. Here's how the event got its start.

This is a story about more than just certifications. It is about how the paths we carve for ourselves sometimes lead us right back to where we started, but with a whole new perspective.