The patent aids in document review by using a new process for grouping together documents that are highly duplicative, such as email conversations, different versions of the same document or identical contracts with different vendors.
Atlanta, GA (PRWEB) September 18, 2012
OrcaTec, creator of the OrcaTec Document Decisioning Suite™, today announced it has been awarded another patent for technology it uses in its OrcaSearch tool.
The process disclosed in the patent provides a means to very efficiently organize near-duplicate documents so that they can be reviewed together by a single person. The small differences among these near duplicates can be highlighted, so that the reviewer can focus on what is different about the documents, rather than read each one independently.
“As the volume of documents subject to eDiscovery continues to grow, techniques for managing or systematically reducing that volume become increasingly important,” said Herbert L. Roitblat Ph.D., the CTO and Chief Scientist for OrcaTec who is known as “the father of concept search.” He continued, “Grouping together documents that are nearly identical is one powerful method that can almost double the speed of handling large collections of electronic documents, like those found in eDiscovery, pre-trial analysis and risk management.
US Patent 8,266,121, IDENTIFYING RELATED OBJECTS USING QUANTUM CLUSTERING, was awarded to Dr. Roitblat and Brian Golbére. The patent is assigned to OrcaTec and is part of the company’s intellectual property portfolio.
The patent is for the use of Quantum Clustering to reduce the burden of document review and speed up the process of identifying meaningful sources of information. Without processes like Quantum Clustering, reviewers can spend up to 50 percent of their review time on repetitive documents, such as email conversations, different versions of the same document or identical contracts with different vendors.
The OrcaTec Document Decisioning Suite, comprised of OrcaSearch, OrcaPredict, OrcaCluster and OrcaReview, works together to find relevant documents in huge silos of information. Along with clustering, the Suite uses predictive coding, concept search and visual interfaces for such applications as first-pass review, early case assessment, risk management, compliance, eDiscovery and human resources.
In the OrcaSearch piece of the Document Decisioning Suite, for which the patent was awarded, documents that are near duplicates are grouped in clusters so that they can be removed quickly or examined more closely, depending on the needs of the reviewer.
“With this process, even large data sets like those seen in eDiscovery can be effectively organized into groups of highly related documents,” said Roitblat. “Rather than compare each document with every other one, this process compares document features and clusters documents that have those features. It turns the traditional process of clustering documents on its head, and it promises much higher processing speeds than those traditional methods.”
Roitblat went on to note: “We are grateful to the US Patent Office for recognizing this innovation in the management of large-scale collections of unstructured information.”
Atlanta-based OrcaTec is reinventing eDiscovery by combining all-in-one smarter predictive coding, ECA and multi-faceted document review either in the cloud or behind clients’ firewalls. Beyond keyword searching, the concept-based OrcaTec Document Decisioning Suite™ takes eDiscovery from data ingestion through document production, using concept search, predictive coding, visual clustering, timelines, “sonar” and other advanced analytics. The Suite is currently being used in the Global Aerospace litigation in Virginia because of OrcaPredict’s predictive coding, which is unique in not requiring seed sets or pre-culling. See how OrcaTec can cut first-pass review time from weeks or months to just days with demonstrably high levels of accuracy and transparency at http://www.OrcaTec.com, or by calling 888-335-2200 x 2.