Artificial Intelligence

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.

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.

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.

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.

A new ruling out of the Northern District of California did not generate headlines about a court approving the use of AI for legal data review. In fact, that debate was never really up for discussion. Notably, that is exactly what makes it worth your attention.

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.

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.

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.