The postdoctoral project "Technology, law, and justice: artificial intelligence or human?" has received funding from European Social Fund (project No 09.3.3-LMTK-712-19-0048] under grant agreement with the Research Council of Lithuania (LMTLT). Project summary Although the robot-judge is still a science fiction and current artificial intelligence is called "weak", legal technologies are not only creating new ways of accessing and delivering legal services to consumers, but also changing the role and function of legal practitioners. It is expected that some lawyers will lose their jobs, but at the same time new staff will be needed to perform data analysis, design legal technology and more. Paradoxically, with the automation of legal processes and decisions, lawyers may increasingly need exceptionally “human” skills - communication, emotion management, empathy. The idea behind the project is to investigate how people perceive fairness of legal technologies and how it is related to the adoption or, on the contrary, hostility to technology. The project aims to carry out a research program on the perceived fairness and adoption of automated legal processes. Research program is planned: (1) study on the levels of human interaction with automated legal processes, (2) research on the determinants of the perceived justice and acceptance of legal technology, and (3) research on the factors of the perceived fairness of automated legal processes. The proposed project will contribute to the development of a growing research area – perception of technology. The results of the project can be useful in exploring the competencies that lawyers need to strengthen in the process of automating legal processes and assessing the potential for automation of various legal activities. Research into the beliefs and attitudes towards technology of various groups of people will provide a better understanding of the phenomena of trust in technology, perceived fairness of legal technology, and acceptance or adoption of legal tech. The results obtained can also help to assess the conditions under which technology, and under which human decisions may seem fairer to people; may also can contribute to the in development of technologies which fairness would be doubted as little as possible.