Data Science in Legal Operations Research Paper: "Detecting Anomalous Invoice Line Items in the Legal Case Lifecycle"
Retrieved on:
Thursday, May 5, 2022
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NEWPORT BEACH, Calif., May 5, 2022 /PRNewswire-PRWeb/ -- InfiniGlobe Research Lab, a division of InfiniGlobe LLC, a legal software and consulting company, published an innovative research paper that explores how Machine Learning models can be trained on historical and synthetic invoice data to produce algorithms that detect anomalies in invoices, improve accuracy, and reduce the human effort and cost of invoice review.
Key Points:
- "Detecting Anomalous Invoice Line Items in the Legal Case Lifecycle", published 2020, (rev.
- The video presentation of the paper and research is available here and an open-access copy of the paper is available here .
- Subsequently, DBSCAN clustering was employed to select data that could be used to generate labeled synthetic data for model training.
- InfiniGlobe Research Lab has hinted they have other research plans in the work and invite innovators to join them in advancing legal through tech.