As we continue to run interviews with people from across the country about their possible use of AI for legal help tasks, we wanted to share out what we’re learning about people’s thoughts about AI.Please see the full interactive Data Dashboard of interview results here.
Below, find images of the data dashboard. Follow the link above to interact more with the data.
We will also maintain a central page of user research findings on AI & Access to Justice here.
Below, find the results of our interviews as of early 2024.
Participants’ Legal & Technology Capabilities
We asked people to self-assess their ability to solve legal problems and to use the Internet to solve life problems.
We also asked them how often they use the Internet.
Finally, we asked them about their past use of generative AI tools like ChatGPT, Bing/CoPilot, or Bard/Gemini.
Trust & Value of AI to Participants
We asked people at the beginning of the interview how much they would trust what AI would tell them for a legal problem.
We asked them the same question after they tried out an AI tool for a fictional legal problem of getting an eviction notice from their landlord.
We also asked them how helpful the AI was in dealing with the fictional problem, and how likely they would be to use this in the future for similar problems.
Preferences for possible AI tool features
We presented a variety of possible interface & policy changes, that could be made to an AI platform.
We asked the participants to rank the utility of these different possible changes.
One reply on “User interviews on AI & Access to Justice”
Thank you for sharing these insightful findings from your user interviews on AI and access to justice. It is compelling to see how participants’ varying levels of legal and technological capabilities shape their perceptions and trust in AI tools for legal tasks. The approach of testing trust before and after engaging with an AI tool, particularly through a practical scenario like an eviction notice, offers valuable insights into how real-world applications can influence user confidence. Additionally, exploring preferences for potential AI tool features is crucial in shaping future developments that will be both user-friendly and effective. I look forward to following further research in this area and how these findings may contribute to improving access to justice through AI-driven solutions.