It Cannot Be Right If It Was Written by AI: On Lawyers' Preferences of Documents Perceived as Authored by an LLM vs a Human
Jakub Harasta, Tereza Novotn\'a, Jaromir Savelka

TL;DR
Legal professionals tend to prefer documents they believe are human-written over AI-generated ones, despite expecting future automation, highlighting perceptions that could influence AI adoption in legal contexts.
Contribution
This study investigates how legal professionals' perceptions of document origin affect their evaluation, revealing biases that impact AI integration in legal processes.
Findings
Participants preferred human-crafted documents over AI-generated ones.
Most expect future legal documents to be generated automatically.
Perceptions influence trust and acceptance of AI in legal documentation.
Abstract
Large Language Models (LLMs) enable a future in which certain types of legal documents may be generated automatically. This has a great potential to streamline legal processes, lower the cost of legal services, and dramatically increase access to justice. While many researchers focus on proposing and evaluating LLM-based applications supporting tasks in the legal domain, there is a notable lack of investigations into how legal professionals perceive content if they believe an LLM has generated it. Yet, this is a critical point as over-reliance or unfounded scepticism may influence whether such documents bring about appropriate legal consequences. This study is the necessary analysis of the ongoing transition towards mature generative AI systems. Specifically, we examined whether the perception of legal documents' by lawyers and law students (n=75) varies based on their assumed origin…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsArtificial Intelligence in Law · Law, AI, and Intellectual Property · Legal Education and Practice Innovations
MethodsFocus
