99 citations · 108 across the 9 of their papers we have counts for
10 papers
Leveraging Machine Learning and Large Language Models for Automated Image Clustering and Description in Legal Discovery
Qiang Mao, Fusheng Wei, Robert Neary +4
The rapid increase in digital image creation and retention presents substantial challenges during legal discovery, digital archive, and content management. Corporations and legal t…
A Comparative Study of Retrieval Methods in Azure AI Search
Qiang Mao, Han Qin, Robert Neary +4
Increasingly, attorneys are interested in moving beyond keyword and semantic search to improve the efficiency of how they find key information during a document review task. Large…
Detecting Privileged Documents by Ranking Connected Network Entities
Jianping Zhang, Han Qin, Nathaniel Huber-Fliflet
This paper presents a link analysis approach for identifying privileged documents by constructing a network of human entities derived from email header metadata. Entities are class…
Empirical Evaluation of Embedding Models in the Context of Text Classification in Document Review in Construction Delay Disputes
Fusheng Wei, Robert Neary, Han Qin +2
Text embeddings are numerical representations of text data, where words, phrases, or entire documents are converted into vectors of real numbers. These embeddings capture semantic…
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…
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.…
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…
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…