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GenAI Review comparable to manual review in eDiscovery, study finds

By PulseAugur Editorial · [1 sources] ·

A new study published on arXiv by Keeling et al. compares Generative AI Review (aiR) to machine learning and manual review for eDiscovery tasks. The research indicates that while aiR achieved 88% recall, its results are not directly comparable to machine learning tools due to differing objectives and trade-offs. The analysis suggests that aiR and manual review are comparable when adjusted for these differences, and that Continuous Active Learning (CAL) models offer superior efficiency and effectiveness. AI

IMPACT Suggests Generative AI tools are comparable to manual review in eDiscovery, potentially impacting legal tech workflows.

RANK_REASON The cluster contains a research paper published on arXiv comparing AI tools. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.IR (Information Retrieval) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

GenAI Review comparable to manual review in eDiscovery, study finds

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The cluster contains a research paper published on arXiv comparing AI tools. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Jeremy Pickens ·

    Comparing GenAI to Machine Learning and Manual Review for eDiscovery

    Keeling et al. [Keeling2026Generative] report on a case study recently conducted by Redgrave LLP in which they assert that Relativity's Generative AI Review tool (aiR) achieved 88% recall while Relativity Assisted Learning (RAL), its machine-learning tool, achieved 64% recall. Th…

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