1. A method for assessing similarity of documents, comprising: extracting a reference document text and reference document metadata from a reference document; extracting an archived document text and archived document metadata from an archived document; quantifying the reference document, comprising: tokenizing sentences of the reference document; and vectorizing the tokenized sentences to obtain a reference document text vector for each sentence of the reference document; quantifying the archived document, comprising: tokenizing sentences of the archived document; and vectorizing the tokenized sentences to obtain an archived document text vector for each sentence of the archived document; determining a document similarity value of the quantified reference document and the quantified archived document, comprising: calculating a first plurality of vector similarity values for a plurality of combinations of a reference document text vector and an archived document text vector; calculating a second plurality of vector similarity values based on combinations of reference document metadata vectors that are based on the reference document metadata and archived document metadata vectors that are based on the archived document metadata; and calculating the document similarity value, comprising a sum of the first plurality of vector similarity values and a sum of the second plurality of vector similarity values.