Successful legal AI implementations depend on training, governance, a steady hand, and reassuringly, a renewed emphasis on expert judgment and critical thinking.
Relativity Blogs
Latest from Relativity
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 what makes it worth your attention.
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.
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.
Reimagining Legal: What We Announced at RelFest London 2026
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…
Results Are In: 5 Lessons from an Independent Study of aiR for Review
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.
How RelativityOne Was Built for the Evidence That Didn't Exist Yet
AI conversations represent a new class of legal evidence, and the industry is just beginning to reckon with them. RelativityOne was built ahead for this moment, and now enables native collection across ChatGPT, Gemini, and Claude Enterprise.
AI in Law: Real Use Cases Beyond Chatbots
Across the legal industry, AI is moving past surface-level experimentation and into the systems that power real work on projects related to investigations, litigation, contract analysis, and breach response.