Training for Technology: Adoption and Productive Use of Generative AI in Legal Analysis
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-spotting examination under one of three conditions: no GenAI access, optional access to a large language model (LLM), or LLM access with a brief training intervention. Untrained LLM access proved counterproductive: relative to participants without any LLM access, untrained users wrote significantly shorter answers, committed more case misstatements, and scored marginally lower, though most differences fall short of conventional significance. Training reversed this pattern...
| Authors | Benjamin M. Chen, Hong Bao |
|---|---|
| Primary category | cs.CY |
| Published | 5 March 2026 |
| Last updated at source | 5 June 2026 |
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