The Relativity Blog - All Articles

The pressure on review teams is only growing, and we're evolving Review Center to help you stay ahead. See what we've been building and where we're going next.

One wrong citation or one wrong fact, and your defensibility is at risk. See the evaluation checks we built into aiR Assist to make sure every answer holds up.

For legal teams inside financial services firms, cloud adoption has been stunted by a set of persistent myths. This post explores them in detail, examining common misconceptions against the current evidence.

Academics and journalists covering legal AI see things practitioners can't. Here's what three 2026 AI Visionaries from outside the firm say about education gaps, human judgment, and why the window to prepare for AI transformation is still open.

The best conference experiences don't happen by accident. Here are six tips to help you get the most out of every session, conversation, and coffee break at RelFest Chicago.

Ahead of ILTACON's 9/11 memorial, Relativity's David Horrigan shares what it was like to report from Ground Zero as a legal reporter – and what that day revealed about people at their best.

AI has its limits: human oversight, iteration, and client alignment remain critical. Let’s take a look at striking the right balance to ensure you’re getting all the ROI you can from your AI investments.

Custom analyses in RelativityOne helps bring images and semi-structured artifacts into your core Legal Data Intelligence workflows and empowers you to direct and explore data while keeping familiar guardrails in place.

Relativity is proud to celebrate the 2026 Innovation Awards Best Innovator category finalists. Get to know them, cast your votes for each category, and join us in Chicago to see who takes home each trophy.

It's clear that our community isn't just adopting AI; they're engineering everything around it to be accountable, efficient, and defensible. Take a peek at the nominees for each technology-focused category in this year's Innovation Awards.

For any public sector office beginning to think seriously about AI for data review, the most important thing to understand is that you do not need to have everything figured out before you start.

Successful legal AI implementations depend on training, governance, a steady hand, and reassuringly, a renewed emphasis on expert judgment and critical thinking.