This study proposed a proof-of-concept methodology for the investigation of paper samples by utilizing ATR-FTIR spectroscopy supported by chemometric methods. An attempt on the analysis of aged writing papers due to the degradation of their chemical constituents with time has been made. The degradation of its constituents with time is directly linked to the age of the paper since its production. This further links the questioned document with the fraudster, and sometimes it becomes crucial information in the court of law to reach to conclusion. The present study offers a method to discriminate, and estimate the age of unknown writing paper. The statistical models like Curve Estimation (CE), multiple linear regressions (MLR), and partial least squares regression (PLSR), are built to predict the age of the papers. The maximum dating errors are in the CE model whereas, MLR and PLSR models show excellent age estimation of unknown paper with minimum error of ±5 days and ±3 days in actual and estimated date of artificial ageing respectively. The present methodology is expected to provide valuable insight for answering the queries related to the date/age of the suspected document documents/paper artefacts.