One of the most unpredictable and risky parts of a building project is pre-construction, which deals with
information on the underlying ground conditions. To make sure that major hazards couldn't be realistically
expected, there has to be a lot of detailed data collected before construction, particularly for site investigation and
existing data modeling. There are limitations to the current methods used to analyze data at this step of the process.
The construction sector had several challenges as a result of its reliance on antiquated methods, such as paper-
based documents that often included duplicate or missing data. Because building information modeling (BIM) has
the ability to alleviate many of the problems encountered by the infrastructure sector, it has recently become the
preferred method of construction. The promise of building information modeling has led to its meteoric rise to
prominence in the construction industry, particularly in industrialized nations. Adopting BIM at the pre-
construction stage is the next logical step for individuals in the BIM process. Thus, the focus of this study is a
survey of research on building information modeling (BIM) integration in the preconstruction phase. However, at
the present time, there has been a dearth of research that is grounded in practice. Despite the abundance of research
on building information modeling (BIM) over the last decade, experts in the field still can't agree on how best to
use it in the pre-construction phase or what data integration tools are available for use in geotechnical projects. In
order to gather and analyze data, a thorough literature research was carried out. Following a comprehensive
literature search on building information modeling (BIM), this research provides a synopsis and critical appraisal
of BIM-based geotechnical data integration in the pre-construction phase. Finding commonalities and areas of
focus among the BIM community for future study is facilitated by these findings.