Retrieval of Semantically Similar Philippine Supreme Court Case Decisions using Doc2Vec

Drafting a case decision is an intensive task for lower court judges which may be a factor in the case backlogs problem of the Philippine judiciary. The search for similar Philippine Supreme Court case decisions is a common task done manually in the trial setting in order to support the decision of the judge. Doc2Vec, a common document embedding technique in NLP, and cosine similarity are implemented in order to automatically retrieve semantically similar case decisions. The model shows to have an accuracy of 80% and exhibits a strong positive correlation with the similarity scores of a legal domain expert.