Recommind's New Predictive Info Governance Tool
Recommind, an e-discovery and information governance technology provider, released June 19 its Information Governance Suite. IGS is designed to manage and organize unstructured data using machine-learning technology, called Predictiv Governance.
Predictiv Governance combines machine-learning technology with human expertise to automate tasks such as data identification, classification, retention, migration, and deletion. Using the human-machine combination in information governance aims to reduce costs and regulatory risks and mitigate the strain of information overload.
The "value of information drops off over time," said Dean Gonsowski, associate general counsel and senior director of Business Development at Recommind, but the costs and risks associated with maintaining and managing information do not decline, he continued. Gonsowski proffered you can view organizational approach to information governance in a maturity model. Many organizations first look at IG to reduce costs, then to minimize risk with compliance monitoring techniques with early case assessment and collection products. With that in mind, Recommind put the company's CORE (Context Optimized Relevancy Engine) components together to form IGS.
Like Recommind's Axcelerate eDiscovery and Decisiv Access & Governance, IGS is built on Recommind's CORE platform, which is a conceptual search engine designed to improve upon keyword access to document repositories that have large numbers of false positive and negative search results. CORE develops an understanding of what a document collection is about, obviating the need to use complex Boolean keyword searches to interrogate repositories.
IGS comprises four integrated Axcelerate modules for data management, early case assessment, collection and review, and analysis. Axcelerate Data Management is a new CORE module that automates information management early in the information lifecycle. Other modules include:
• Axcelerate ECA & Collection: preserves, collects, processes, culls, and analyzes electronically stored information as part of internal, regulatory, or e-discovery investigations.
• Axcelerate Review & Analysis: document review with Predictive Coding features.
• Axcelerate On-Demand: the hosted version of Axcelerate Review & Analysis.
The IGS platform provides a high-level dashboard of activities that include a list of data sources and their status, gleaned from data crawlers and connectors. Connectors work bidirectionally to feed information to IGS and receive commands to act on data, said Neil Etheridge, senior director of the Product Inception Group at Recommind. The system has the ability to automatically categorize data based on multiple taxonomies and analyze data sources to refine categories. Then categories can be the target of policies to take action on data such as to migrate or delete it, said Etheridge.
IGS uses the CORE platform's single unified index to engage governance tasks, including data identification, policy-based remediation, migration, deletion, and e-discovery. CORE's universal index is designed to manage data and allow legal professionals to review it in one system, using defensible processes that are automatically logged. Other features of the CORE platform include:
• Automatically classifies huge amounts of information.
• Processes and produces e-discovery data on one integrated platform, without risky data handoffs.
• Automatically identifies and deletes data by rules or retention policies.
• Migrates data from legacy websites to newer, distributed data structures such as Hadoop.
• Finds, indexes, categorizes, and anonymizes sensitive and private information to apply proper access controls.
Recommind's single CORE index for information governance and e-discovery bridges information management and litigation preparedness under the company's Axcelerate product line. The cost of the Information Governance Suite is based on enterprise licensing by capacity and the number of managed sources or nodes .
Attorney Sean Doherty is the technology editor for Law Technology News, a Legal affiliate based in New York.
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