The use of field computers in law enforcement has been widely touted as an effective means of improving law enforcement productivity. As such, the use of field computers has increased significantly, leading the authors to question whether records, investigations, and police administration derive measurable benefits from patrol field mobile computing. In order to probe this question, the authors drew on TTF theory, which contends that if information technology is to be beneficial, the technology must fit the tasks performed by those using the technology. The authors conducted a comparative analysis of statistical data captured by a medium-sized police department in Arizona both prior to, and 18 months after, the implementation of field mobile computing. The Goodhue and Thompson model of end-user satisfaction was utilized as the measurement instrument to determine the goodness of fit of the technology for law enforcement purposes. Results of statistical analysis revealed that the use of field mobile computing in law enforcement benefits the records bureau investigators and administrators in their required job functions. Results additionally indicated that field computing improved the rate of recovered stolen vehicles. The authors caution that their results are specific to one, medium-sized police department, which is not sufficient evidence upon which to base generalizations. However, based on the findings, the authors suggest that providing additional field computing capabilities to law enforcement officers will increase productivity and organization. Tables, references