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Autonomy introduces meaning based coding for eDiscovery
Autonomy Corporation plc, a global leader in infrastructure software for the enterprise, today unveiled Autonomy Meaning Based Coding, a new module designed to radically reduce the time and costs associated with eDiscovery and document review. Autonomy Meaning Based Coding uses the company’s patented concept-based pattern recognition technology to watch and learn how legal teams code documents during the review process to understand the coding decisions. This understanding enables Meaning Based Coding to use the concepts legal reviewers search for and extrapolates this to automatically analyze and code remaining documents to prioritize them for review by the legal team.
The document review process is often the most critical, time-consuming, and costly stage of the eDiscovery process. In order to defend a case, it is essential that documents are painstakingly reviewed for responsiveness and privileged information as well as coded for production to the opposing side. With legacy technology, this is often a risk-filled process requiring a significant investment in human and financial capital.
Autonomy Meaning Based Coding, a component of Autonomy’s end-to-end eDiscovery platform, transforms the manual, time-intensive, and error-prone review process, enabling legal teams to speed the review process, improve accuracy and win the case. Autonomy Meaning Based Coding watches, learns, and understands how and why attorneys code documents based on content. From the first coding decision, the software understands what information is relevant and can either automatically code remaining documents for a prioritized second tier review or accurately suggest coding for the attorney reviewing the documents. For measuring accuracy, it can also be used to review samples of documents that have been reviewed manually. This capability is important as manual reviews can become inconsistent and it is critical to minimize risk associated with this. Autonomy’s Meaning Based Coding streamlines the document review process using a defensible workflow that enables the computer to leverage the work of the legal team to accurately review the corpus of data.
Autonomy Meaning Based Coding:
- Powered by Autonomy’s Intelligent Data Operating Layer, which automatically understands the meaning of information within all forms of structured and unstructured information, identifying relevant concepts and patterns in data.
- Part of Autonomy’s end-to-end eDiscovery platform, which includes identification, preservation, collection, processing, analysis, review and production capabilities.
- Processes petabytes of electronically stored information (ESI), in more than 120 languages and more than 1,000 file types, including audio and video.
- The intuitive dashboard enables the review team to quickly ascertain how documents should be coded based on prior decisions
- Autonomy Meaning Based Coding is available now as hosted or on-premise software, or as an appliance.
"Legal review has traditionally been the most time consuming and challenging process for legal teams of all sizes," said Mike Sullivan, CEO of Autonomy ZANTAZ. "Legacy technologies fail to equip review teams with the tools they need to automate the process, and corporate counsel has been forced to throw more money and man-hours at the problem. Autonomy uniquely addresses this challenge by taking a meaning-based approach - which applies our ability to understand all forms of information in order to help organizations speed the eDiscovery process and achieve superior legal results."
Please visit www.zantaz.com for more information. 26.07.2010, Sabine Minar, Text 100 GmbH
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