In human–robot interactions in legal proceedings, human responses to robot-generated evidence will present unique challenges to the accuracy of litigation as well as ancillary goals such as fairness and transparency, though it may also enhance accuracy in other respects. The most important feature of human–robot interactions is the human tendency to anthropomorphize robots, which can generate misleading impressions and be manipulated by designing robots to make them appear more trustworthy and believable. Although robot-generated evidence may also offer unique advantages, there are concerns about the degree to which the traditional methods of testing the accuracy of evidence, particularly cross-examination, will be effective. We explore these phenomena in the autonomous vehicles context, comparing the forums of litigation, alternative dispute resolution, and the National Transportation Safety Board. We suggest that the presence of expert decision-makers might help mitigate some of the problems with human–robot interactions, though other aspects of the procedures in each of the forums still raise concerns.