The Relativity Blog - All Articles

Linked cloud files may function like attachments to an email, but since they are not embedded in the message, they can make discovery workflows difficult. RelativityOne can now meet that challenge head-on by enabling teams to choose how to handle these files for each project.

With aiR Assist in RelativityOne, you ask questions in plain language, and it does the first pass of finding, reading, and connecting what's in the record. It returns grounded, referenced answers you can validate, so you can see the shape of the matter sooner.

If you recently feel like you're working just as hard but covering less ground, you're not alone. Building these habits will help you keep up, catch the best opportunities, and stay sharp while the legal profession moves faster than ever.

Many AI Visionaries have found that successful AI implementations come down to some surprisingly grounded fundamentals: start small, define success, ask clear questions, and invest in your people as much as your tools.

Responsible use of AI requires the right tools, disciplined workflows, and a clear understanding of who remains accountable for legal judgment.

These AI Visionaries are prime examples and excellent guides in the art of adopting AI with intention. Here's what they suggest for legal intelligence professionals navigating the AI transition.

As new tech emerges, agencies sometimes adopt mission by mission, creating layers of systems that weren’t designed to work together. The result is an enterprise where data doesn’t move freely and systems may not communicate with each other.

Sales force interactions with healthcare professionals are among the highest-risk commercial activities in the life sciences industry. Learn how in-house commercial compliance professionals can apply AI to strengthen oversight of this activity – without sacrificing regulatory judgment.

At RelFest London 2026, Relativity showed what reimagining legal looks like in practice – aiR Assist and custom analyses in aiR for Review general availability, a Microsoft Word integration via the acquisition of Gavel, and an early look at a brand-new experience built for lawyers, all designed to put AI at the center of legal data intelligence projects.

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.