On Tradeoffs Between Document Signature Methods for A Legal Due Diligence Corpus

Abstract

While document signatures are a well established tool in IR, they have primarily been investigated in the context of web documents. Legal due diligence documents, by their nature, have more similar structure and language than we may expect out of standard web collections. Moreover, many due diligence systems strive to facilitate real-time interactions and so time from document ingestion to availability should be minimal. Such constraints further limit the possible solution space when identifying near duplicate documents. We present an examination of the tradeoffs that document signature methods face in the due diligence domain. In particular, we quantify the trade-off between signature length, time to compute, number of hash collisions, and number of nearest neighbours for a 90,000 document due diligence corpus.

Publication
In ACM SIGIR Conference on Research and Development in Information Retrieval 2022.
Edward Lee
Edward Lee
PhD Student

I am a PhD student in programming language theory at the University of Waterloo.