<p class="p1">In this episode of our AI-enabled e-discovery series, host <a href='https://www.reedsmith.com/en/professionals/d/diana-anthony-j'>Anthony Diana</a> sits down with Reed Smith’s <a href='https://www.reedsmith.com/en/professionals/k/krieger-marcin-m'>Marcin Krieger</a> and Gravity Stack’s <a href='https://www.linkedin.com/in/sharri-wilner-8b07524'>Sharri Wilner</a> to unpack Relativity aiR: Relativity’s embedded generative AI framework for e-discovery.</p>
<p class="p1">The conversation breaks down how aiR differs from traditional TAR/CAL, what it means to treat prompts as a “review protocol,” and where it delivers outsized value today. The team explores aiR’s two core applications: aiR for Review to accelerate responsiveness and issue coding across large data sets, and aiR for Case Strategy to summarize transcripts, surface themes, and drive smarter deposition prep. The team also discusses validation, defensibility, and emerging tools such as Air Assist, offering practical tips for managing risk, change, and ethics as GenAI becomes part of daily practice.</p>


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