Successful legal AI implementations depend on training, governance, a steady hand, and reassuringly, a renewed emphasis on expert judgment and critical thinking.
Relativity
The truth is important. But there’s a lot of data out there—data volumes are rising and new information sources appear every day—and it can be nearly impossible to find the truth buried in it. And when it comes to legal challenges like litigation or corporate compliance, the truth can be life-changing. It’s the difference between millions of dollars, the right or wrong verdict, or justice taking years instead of months. That's why we built Relativity.
Latest from Relativity - Page 2
When the Court Doesn't Blink: Schulte v. LinkedIn on AI for Review
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…
Treating Linked Cloud Files Like Associated Files During e-Discovery
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…
aiR Assist for Early Case Insights: Faster, Grounded Answers
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…
How Legal Pros Stay Sharp When the Job Is Getting Faster
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.
Designing AI Workflows That Actually Work
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 AI in E-Discovery: A Framework for Preserving Lawyer Judgment
Responsible use of AI requires the right tools, disciplined workflows, and a clear understanding of who remains accountable for legal judgment.
How Legal Teams Are Moving from AI Experiments to AI Operations
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.
Why Federal Agencies Can't See Across the Enterprise and What to Do About It
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.
Using AI to Strengthen Sales Force Compliance Monitoring in Life Sciences
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.