The field of forensic linguistics has burgeoned in the past several decades within a current-day framework of language use, ranging from dialectal analysis to legal language analysis in court cases, to trademark and authorship disputes, and more. When it comes to utilizing forensic linguistics techniques within a historical framework, however, there is still a great deal of research and work to be done. There is a gap in historical research that needs to be filled, to create a more cohesive whole when examining the past for understanding. Pioneers in historical authorship analysis are now using forensic linguistic methods more frequently in their manuscript analyses and research, and the results of those studies indicate that some linguistic variables can be statistically measured with a relative degree of accuracy for historical documents. What is needed now is a forensic analysis which also comprehensively accounts for the challenges regarding various cultures’ definitions of ‘author’ and ‘authorship’ and translation methods in different time periods. For medieval manuscripts, these analyses must also consider the manuscript culture inherent in that time period. In this dissertation, I discuss the rift apparent in the framework of understanding where forensic linguistic analysis and manuscript analysis are not fully meeting in the middle. I address the need for a general methodology that allows academics in both disciplines to work together in finding variables for forensic testing which include the needs of the manuscript culture behind it, so that future research can more fully enrich the understanding of medieval history as a whole. During that discussion, I analyze several completed authorship analyses surrounding the tenth century Old English gloss of the Lindisfarne Gospels, examining the methods utilized by each researcher in accomplishing their chosen research goal. Then, I focus on developing a generalized methodology which can provide a framework for handling unique, individual analyses of medieval manuscripts which have questionable authorship attribution. This framework will help to create a more solid foundation for providing more accurate and effective data for historical authorship cases.