Smarter, Faster, More Targeted Review

Keyword searches force reviewers to work with guesswork. You start with a long list of words and variations, only to discover that many documents are irrelevant false positives, while others slip through because the right terms weren’t anticipated. This slows review down and makes it harder to focus on the material that actually matters.

Relativity’s aiR for Review changes that by letting you brief the system on your case. You provide a matter overview, identify people and their aliases, list important organizations and terms, and outline the criteria for relevance. With that framework, the AI doesn’t just look for words, it interprets documents in context, recognizing when the deal means your client’s merger or when the CFO refers to the right individual.

That means the AI surfaces more of the “hidden gems” that keyword searching misses, while filtering out noise. As a reviewer, you spend less time digging through irrelevant hits and more time focusing on the documents that are truly important to your case. It’s a smarter, faster, and more targeted way to review, freeing you up to concentrate on strategy rather than mechanics.

At Page One, we know that moving from keyword guesswork to AI-powered context can feel like a big shift, but it’s one that delivers measurable advantages in efficiency, accuracy, and defensibility. Our team has the expertise to help you design workflows, set the right criteria, and get the most out of Relativity’s aiR for Review. If you’re ready to explore how generative AI can transform your document review, we’d love to start the conversation. After all, when it comes to your matters and your clients, we’re always More Powerful Together.