Estimating the duration of highway transportation projects accurately has always been a challenge for State Transportation Agencies (STAs) in the United States (US) due to the differences in projects’ location, scope, nature, size, and goals. Inaccurate estimates of project durations by STAs can lead to a lack of commitment from contractors, not needing to invest their maximum effort to fulfill a project’s scope. STAs have used a variety of methods to estimate and set contract time, mainly relying on historical production rates in tandem with activity precedent logic programs. The Kentucky Transportation Cabinet has recently attempted to develop a statistical model which estimates contract times by using parametric modeling and historic contracting times with success. This paper attempts to build upon their findings, regressing historical data from Montana Department of Transportation projects using bid tabulations, engineers’ estimates, location, and type of project, among other factors as inputs. The model presented is still under development and is expected to increase in accuracy as it reaches its final state.