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Amplify™ Productions is a 2026 Relativity Innovation Awards nominee in the Best Innovation: Act category. 🏆 Vote for Amplify™ Productions: https://lnkd.in/ec39Xm28 Amplify™ Productions runs inside Relativity to standardize and validate production metadata, preview every rule before it runs, and reduce the risk of rejected load files and last-minute remediation. Fewer surprises. Less rework. More confidence at delivery. Built in-house, by the people who lived the problem. That's what practical, applied, defendable AI looks like. #RelFest #eDiscovery #LegalTech #RelativityInnovationAwards

When every AI decision is cited, tracked, and audit-ready — "defensible" isn’t a buzzword. It’s your standard. Relativity aiR + Amplify™ Review delivers full transparency and measurable impact on cost, speed, and outcomes. Discover how top legal teams are replacing contractor chaos with intelligent, scalable review.

GenAI can look efficient while quietly hiding the things you most need to find. Applied to the wrong data with vague prompts, it produces confident answers and a false sense of certainty. Our new whitepaper covers how to deploy GenAI selectively, with human judgment directing where it helps and where it shouldn't lead. Download it below.

How do you tell GenAI that's strengthening a review from GenAI that's confidently wrong? The difference usually comes down to triage, prompts, and context, not the model itself. Our new whitepaper explains how to apply GenAI so speed never costs you defensibility. Download it below.

The most defensible reviews now start before anyone opens a single document. It begins with data-centric triage, then uses senior judgment to set priorities before explainable AI handles the scale. Our new whitepaper maps the full model and where it saves legal teams time and cost. Download it below.

Most large reviews get expensive early and useful late. The documents that matter tend to surface after the budget is mostly spent. A data-centric model flips that order by putting senior judgment at the front of the process instead of the cleanup at the end. See how it works in the whitepaper.