Powerful Analysis Drives Next-Generation E-Discovery

MetaLINCS Analysis delivers the most comprehensive analysis and search capabilities of any electronic discovery software or hosted service on the market.

This unique advantage is a key component of what makes MetaLINCS the only true enterprise-class e-discovery platform. Using MetaLINCS, you expedite and streamline the review process, the most expensive step in e-discovery, as you drive more strategic decision making by employing early case assessment.

With MetaLINCS you can scan large volumes of documents and emails by topics, threads, social network connections and concepts. You can also explore and assess case materials without having to read numerous individual documents. This will give you a more complete understanding of the material in less time, leading to reduced review costs and faster overall case resolution.

MetaLINCS Analysis delivers the following advantages:

• Sophisticated search, analysis, and categorization capabilities, including Guided Navigation and analysis based on:
  • Concepts and Concept Clusters
  • Email Threads
  • Social Network Analysis
  • Extracted Entities
• Rapid identification of key case topics, people, vocabulary, and documents along with automated culling of irrelevant information.
• Immediate access to email analysis and organized case content.
• Flexible case organization to provide context during the review process.
• Intuitive navigation and a user-interface based on familiar tools.

Key Features & Screen Shots

• MetaLINCS Search & Navigation

MetaLINCS Search & Navigation MetaLINCS combines a unique search and browse interface with email-specific search algorithms to quickly find emails and other documents relevant to e-discovery. MetaLINCS software goes far beyond the traditional text search tools commonly used today. The search capability allows the users to scan the search results by topics, threads, people and concepts. Dynamically generated high-level views of the search results help an investigator develop a glossary of key terms while determining if a set of search results requires further scrutiny. All 250-odd content and metadata fields that MetaLINCS defines for items and people are searchable. Values in these fields can be identified by a range of query operators. There are specialized types of queries for identifying desired items by how they relate to other items. MetaLINCS has patents pending on its techniques for querying items based on their relationships to other items. Types of search queries supported include keywords, phrases, concepts, Boolean combinations, near queries, range queries, wildcard queries, spelling-fuzzy queries, relationships between items and people, and inheritance relationships between items and other [close]

• Guided Navigation

Guided Navigation MetaLINCS Guided Navigation helps reviewers and investigators find key information in lightning speed. In MetaLINCS 4.0, Guided Navigation has been enhanced by the addition of new categories in the directory, as well as the ability to quickly navigate in any direction within the directory. With each new selection, the MetaLINCS directory updates to provide a dynamic picture of the resulting document set. This constantly updating overview of the document set provides guidance on where the most important documents are located and what they contain. The dynamic nature of the directory is in contrast to traditional static directories where selecting any particular category reduces not just the result set but also the set of potentially useful ways to categorize that result set. Selectors are also shown with a numeric "score" indicating the prevalence of each selector. [close]

• People and Social Network Analysis

People and Social Network Analysis People are frequently as important an object type as content items. MetaLINCS provides a number of analysis tools that take advantage of its induced people object model to help users identify the key people associated with any issue(s) of a matter, the roles these people played, and the time frames and specifics of their involvement. The Directory identifies key people with statistics about their information role, both for the collection as a whole and for any sub-collection identified by search and/or drill-down. For example, a query can be expressed to retrieve all items relevant to a particular issue and MetaLINCS will find both the items and the associated people. With Social Network Analysis, users can see patterns in communication between and among custodians and the results can be graphed to show the changing patterns over time. [close]

• Thread Analysis

Thread Analysis Email threads are more natural units to understand what happened than single messages. They provide the context surrounding each individual message and attached document, illuminating the events and roles of the people involved. Items important to a case are frequently not the same as items that have high search relevance. Important items may not use explicit terminology and are frequently private communications that involve only a small number of participants. However, these items are frequently offshoots of larger public conversations, i.e. “side conversations” within a broader context. MetaLINCS Thread AnalysisTM organizes all of the messages in a thread along with related threads that were created when messages were forwarded. Viewing the messages by thread lets the user quickly determine who all of the participants were, what attachments they received and graphically see the temporal relationship between the various related discussions. [close]

• Hierarchy Document Clustering

Hierarchy Document Clustering Multi-lingual topical document clusters provide an alternative to traditional custodian-based review. Grouping documents by topic helps reviewers make faster better decisions on how to flag a document because they see the document in the context of many similar documents. The document clusters are hierarchical so subsets within a cluster can be assigned to individual reviewers. A special UI available to the case manager displays the topic hierarchy and a relevant label is automatically created for each cluster. Document clusters are formed on a streaming basis as documents are processed, rather than on a batch basis after processing has finished. This allows analysis and early case assessment to start sooner. Clustering can integrated with search and supports two review workflows. Reviewers can select a custodian folder and review by topic within that folder or bypass custodian folders and review purely by global topic. [close]