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Predictive Coding & Analytics
Presenting data in meaningful ways
Whether you are seeking to
- develop effective search term filters
- identify non-relevant information for review filters
- learn more about collections, repositories, or matter-specific data
- perform predictive culling or continuous active learning
- pin-point the relevant needles in a haystack
- provide statistical metrics to support culling methodologies
our team can help you overcome the nuances of information and data overload to right-align the cost and risk balance with culling methodologies and in-house data management.
The use of analytics is imperative in large complex matters
- The proliferation of data has made review difficult to perform under tight deadlines
- Costs of review are often based on the volume of data
- Finding pertinent information as quickly as possible provides invaluable time for case preparation
- The way data is organized is important to review efficiency and effectiveness
Nelson Mullins Encompass has successfully implemented analytics workflows across a broad range of matters, including
- Class action lawsuits
- Congressional inquiries
- Internal Investigations
- Multidistrict litigation cases
- Responses to DOJ, FTC, and other government subpoenas and CIDs
- US and foreign government investigations
Our analytics services for clients include
- Metadata Reporting & Analysis – provides a quick overview of the potential review population by identifying presumptively non-relevant material, while also providing a high-level overview of the general data graphs
- Predictive Culling – train analytics engine on relevancy by creating sample sets for Subject Matter Expert review for categorizing documents as relevant and non-relevant for later review and potential production of only those documents categorized as relevant. Experience also includes Continuous Active Learning technologies and workflows
- Streamlined, Technology Assisted Attorney Review – intelligent grouping of emails and documents for attorney review for gained efficiency and quality
- Customized Process Reports – custom, project-tailored workflow documentation for defensible and repeatable discovery processes
- Email Threading – organizes emails to identify the most inclusive email for review while eliminating the lesser included nodes that are within the population as separate documents
- Search Term Application and Analysis – analysis of keywords with Boolean operators to reduce false positive hits and non-relevant material for review
- Clustering – groups documents together based on conceptual similarity by providing a quick avenue for delving into large pockets of data based on subject matter mapping
- Conceptual Categorization – quick look to locate full documents or segments of documents that are conceptually similarly (as opposed to only textually similar) to one another
Wide level of experience and diverse perspectives
- Team includes administrators certified in respective technologies
- Diversified team with prior vendor, law firm, and software developer experience
- Dedicated analytics team who routinely perform a variety of techniques on each matter
- Partner-level e-discovery attorneys with experience advocating for the implementation of analytics workflows
The use of analytics is imperative in large complex matters
- The proliferation of data has made review difficult to perform under tight deadlines
- Costs of review are often based on the volume of data
- Finding pertinent information as quickly as possible provides invaluable time for case preparation
- The way data is organized is important to review efficiency and effectiveness
Nelson Mullins Encompass has successfully implemented analytics workflows across a broad range of matters, including
- Class action lawsuits
- Congressional inquiries
- Internal Investigations
- Multidistrict litigation cases
- Responses to DOJ, FTC, and other government subpoenas and CIDs
- US and foreign government investigations
Our analytics services for clients include
- Metadata Reporting & Analysis – provides a quick overview of the potential review population by identifying presumptively non-relevant material, while also providing a high-level overview of the general data graphs
- Predictive Culling – train analytics engine on relevancy by creating sample sets for Subject Matter Expert review for categorizing documents as relevant and non-relevant for later review and potential production of only those documents categorized as relevant. Experience also includes Continuous Active Learning technologies and workflows
- Streamlined, Technology Assisted Attorney Review – intelligent grouping of emails and documents for attorney review for gained efficiency and quality
- Customized Process Reports – custom, project-tailored workflow documentation for defensible and repeatable discovery processes
- Email Threading – organizes emails to identify the most inclusive email for review while eliminating the lesser included nodes that are within the population as separate documents
- Search Term Application and Analysis – analysis of keywords with Boolean operators to reduce false positive hits and non-relevant material for review
- Clustering – groups documents together based on conceptual similarity by providing a quick avenue for delving into large pockets of data based on subject matter mapping
- Conceptual Categorization – quick look to locate full documents or segments of documents that are conceptually similarly (as opposed to only textually similar) to one another
Wide level of experience and diverse perspectives
- Team includes administrators certified in respective technologies
- Diversified team with prior vendor, law firm, and software developer experience
- Dedicated analytics team who routinely perform a variety of techniques on each matter
- Partner-level e-discovery attorneys with experience advocating for the implementation of analytics workflows
- Scalable solutions for diverse workflows and business needs
- Secure, repeatable processes
- Predictable fee structures
- Experienced and diverse team members
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