Natural Language Processing and the Law

Abstract

Given the complexity of the M&A process, it makes sense that investment bankers have software such as S&P CapIQ, 451 Research, and PitchBook that allow them to instantly look up financial details and effectively filter through thousands of precedent transactions. However, what about corporate lawyers? Matterhorn Transactions is the first analogous platform for corporate M&A lawyers and other legal professionals to use natural language processing to filter and locate legal aspects of previous M&A transactions.

Keywords: Law, Natural Language Processing, Machine Learning, Legal Research

JEL Classification: K22