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Identifying and locating chemical substances, which can be disclosed in patents by names, structures, variable tables, etc. presents a time-intensive challenge to chemical patent analysis. Though emerging technology can help, recently published research demonstrates that algorithmic identification of chemical substances alone successfully identifies only ~60% of the disclosed compounds, compared to intellectual compound identification. PatentPakTM addresses this gap by extending the efforts of CAS scientists, who have intellectually analyzed the global patent literature for claimed and exemplified compounds for more than 100 years, to also elucidate the location of the substances in the patent text. This presentation will explore a number of examples, including a case study on vitamin D metabolites, to demonstrate the significant time savings and enhanced comprehensiveness of this approach.