High-precision measurements of the standard model as well as searches for new physics beyond the standard model require the statistical power of the High-Luminosity LHC. The CMS experiment will perform an upgrade of the Level-1 hardware trigger in order to take full advantage of the High-Luminosity LHC. This Phase-2 Level-1 Trigger will utilise, for the first time, tracking and high-granularity calorimeter information and employ sophisticated algorithms such as particle flow reconstruction and Machine Learning techniques. An overview of the design of the Phase-2 Level-1 Trigger, along with two recent Machine Learning algorithm highlights, and benchmark examples of the extension to physics acceptance is presented.