The artefact contains the sub-directory 'Codes' which includes a Jupyter notebook that constructs the PRISM model from the pre-processed data-sets of the two years of the transcripts of the Supreme Court of the United States (2018-19) which are stored as csv files named out1.csv and out2.csv respectively. The code is written in Python. The code outputs the PRISM model. There is no input from the user expected in the code. The code is separated across blocks, describing what each block achieves. Just run through each block to get the desired PRISM model. The sub-directory 'PRISM_Files' contains the PRISM model in the 'Model' directory and the Properties discussed in the paper in the 'Properties' directory. The name of each query is saved as 'Query_i' where i refers to the query number in the paper which may be a collection of several properties whose values and trends are discussed in the paper. All the experiments can be rerun and evaluated to obtain the values discussed in the paper. New properties can be framed and evaluated on the PRISM model as well. The Jupyter Notebook can be used to populate the model further with more data. Detailed instructions are provided in the 'Readme.txt' file.