Using GenAI to Navigate Complexity, Not Replace Judgment
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Document review hasn’t kept up with modern data. Chats, links, and structured data don’t behave like documents, and forcing them through old workflows creates real defensibility risk.
For years, the response to growing data volumes was more reviewers and more layers of contract attorneys. The model never changed. This whitepaper examines why the document-centric approach is breaking down and how a data-centric model, supported by Amplify™ and Relativity aiR for Review, keeps human judgment anchored where it matters most.
In This Whitepaper, You’ll Learn
1. Why document-centric review breaks down when chats, hyperlinked files, and structured data enter the mix.
2. How data-centric triage with Amplify™ surfaces themes and high-signal areas before broad eyes-on review.
3. Where GenAI is most effective in review, and where it isn’t.
4. How Relativity aiR for Review structures complexity with explainable categorizations and source-grounded citations.
5. What defensible review looks like when decision-making is documented as it occurs, not reconstructed after the fact.
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