This bachelor thesis explores a specialized form of Location-Based Services called ``Local Services.'' In contrast to general Location-Based Services like Google Maps, which can be accessed from anywhere, Local Services are only available at a specific, physical location. Once the user leaves the location, they can no longer access the service in its entirety. Due to the close interconnection between service and location, Local Services can offer particularly personalized and context-aware services. Despite their widespread use in various industries, the concept of Local Services has not been adequately studied in scientific literature. Local Services are often used in mobile commerce, where stores send exclusive offers via push-notifications to customers passing nearby. As the notification is only available to consumers at the physical location of the store, the service can be qualified as a Local Service. Another popular use case consists of applications for museums or tourist sites. These applications provide exhibit information via Bluetooth beacons and QR-Codes and are thus only accessible to users at the location. All in all, numerous real-world examples of Local Services exist, but they are not adequately studied in scientific literature. Neither does the literature provide a consistent definition for them, nor do authors acknowledge their particular characteristics when vaguely describing them as general Location-Based Services. This work is a first attempt to close this research gap by systematically studying and classifying Local Services. As methodology, we use the Systematic Literature Review which is considered particularly adequate for doing fundamental research on a topic. Moreover, the results are then classified into a taxonomy.