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GenAI training boosts legal analysis productivity

A study involving 164 law students found that providing untrained access to generative AI tools for legal analysis was counterproductive, leading to shorter answers and more errors. However, a brief training intervention reversed this trend. Trained students were more likely to use the AI, produced better-quality work, and accurately stated applicable rules, suggesting that effective GenAI adoption requires both access and instruction. AI

IMPACT Demonstrates that targeted training is crucial for effective GenAI adoption in professional settings, not just access.

RANK_REASON Academic paper detailing experimental findings on GenAI use. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Benjamin M. Chen, Hong Bao ·

    Training for Technology: Adoption and Productive Use of Generative AI in Legal Analysis

    arXiv:2603.04982v3 Announce Type: replace-cross Abstract: Can targeted user training unlock the productive potential of generative artificial intelligence in professional settings? We study this question using a randomized experiment in which 164 law students completed an issue-s…