99 citations · 199 across the 14 of their papers we have counts for
15 papers
An Empirical Study on Transfer Learning for Privilege Review
Haozhen Zhao, Shi Ye, Jingchao Yang
Protecting privileged communications and data from inadvertent disclosure is a paramount task in the US legal practice. Traditionally counsels rely on keyword searching and manual…
Use Image Clustering to Facilitate Technology Assisted Review
Haozhen Zhao, Fusheng Wei, Hilary Quatinetz +2
During the past decade breakthroughs in GPU hardware and deep neural networks technologies have revolutionized the field of computer vision, making image analytical potentials acce…
CNN Application in Detection of Privileged Documents in Legal Document Review
Rishi Chhatwal, Robert Keeling, Peter Gronvall +3
Protecting privileged communications and data from disclosure is paramount for legal teams. Legal advice, such as attorney-client communications or litigation strategy are typicall…
Application of Deep Learning in Recognizing Bates Numbers and Confidentiality Stamping from Images
Christian J. Mahoney, Katie Jensen, Fusheng Wei +3
In eDiscovery, it is critical to ensure that each page produced in legal proceedings conforms with the requirements of court or government agency production requests. Errors in pro…
Image Analytics for Legal Document Review: A Transfer Learning Approach
Nathaniel Huber-Fliflet, Fusheng Wei, Haozhen Zhao +3
Though technology assisted review in electronic discovery has been focusing on text data, the need of advanced analytics to facilitate reviewing multimedia content is on the rise.…
A Framework for Explainable Text Classification in Legal Document Review
Christian J. Mahoney, Jianping Zhang, Nathaniel Huber-Fliflet +2
Companies regularly spend millions of dollars producing electronically-stored documents in legal matters. Recently, parties on both sides of the 'legal aisle' are accepting the use…
Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review
Robert Keeling, Rishi Chhatwal, Nathaniel Huber-Fliflet +5
Research has shown that Convolutional Neural Networks (CNN) can be effectively applied to text classification as part of a predictive coding protocol. That said, most research to d…
Evaluation of Seed Set Selection Approaches and Active Learning Strategies in Predictive Coding
Christian J. Mahoney, Nathaniel Huber-Fliflet, Haozhen Zhao +3
Active learning is a popular methodology in text classification - known in the legal domain as "predictive coding" or "Technology Assisted Review" or "TAR" - due to its potential t…
Using Google Analytics to Support Cybersecurity Forensics
Han Qin, Kit Riehle, Haozhen Zhao
Web traffic is a valuable data source, typically used in the marketing space to track brand awareness and advertising effectiveness. However, web traffic is also a rich source of i…
Empirical Study of Deep Learning for Text Classification in Legal Document Review
Fusheng Wei, Han Qin, Shi Ye +1
Predictive coding has been widely used in legal matters to find relevant or privileged documents in large sets of electronically stored information. It saves the time and cost sign…
An Empirical Study of the Application of Machine Learning and Keyword Terms Methodologies to Privilege-Document Review Projects in Legal Matters
Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang +3
Protecting privileged communications and data from disclosure is paramount for legal teams. Unrestricted legal advice, such as attorney-client communications or litigation strategy…
Explainable Text Classification in Legal Document Review A Case Study of Explainable Predictive Coding
Rishi Chhatwal, Peter Gronvall, Nathaniel Huber-Fliflet +3
In today's legal environment, lawsuits and regulatory investigations require companies to embark upon increasingly intensive data-focused engagements to identify, collect and analy…
Empirical Evaluations of Active Learning Strategies in Legal Document Review
Rishi Chhatwal, Nathaniel Huber-Fliflet, Robert Keeling +2
One type of machine learning, text classification, is now regularly applied in the legal matters involving voluminous document populations because it can reduce the time and expens…
Empirical Evaluations of Preprocessing Parameters' Impact on Predictive Coding's Effectiveness
Rishi Chhatwal, Nathaniel Huber-Fliflet, Robert Keeling +2
Predictive coding, once used in only a small fraction of legal and business matters, is now widely deployed to quickly cull through increasingly vast amounts of data and reduce the…
Empirical Evaluations of Seed Set Selection Strategies for Predictive Coding
Christian J. Mahoney, Nathaniel Huber-Fliflet, Katie Jensen +3
Training documents have a significant impact on the performance of predictive models in the legal domain. Yet, there is limited research that explores the effectiveness of the trai…