Efficient Expert Witness Profiling with Ray: Automated Key Phrase Extraction from Legal Documents

Explore an innovative solution for automated key phrase extraction from legal documents to profile expert witnesses efficiently. Learn how Ray, a distributed computing framework, is utilized to process millions of caselaw documents, including depositions, opinions, CVs, reports, and jury verdicts. Discover the two-part pipeline involving data pre-processing on AWS EMR using Spark and last-mile processing with Python. Examine the implementation of NLP techniques, unsupervised learning algorithms, and the Spacy library to extract, rank, and filter relevant key phrases. Gain insights into the significant performance improvements achieved, including a 5x reduction in processing time for phrase ranking, a 24x reduction for filtering unwanted phrases, and an 11x reduction in compute time for optimizing key phrases. Understand how this approach helps lawyers identify expert witness expertise and specific topics they can comment on, addressing a major challenge in the legal industry.

Efficient Expert Witness Profiling with Ray: Automated Key Phrase Extraction from Legal Documents