contact@cyfor.co.uk

Manchester: 0161 797 8123London: 0207 438 2045

contact@cyfor.co.uk
Manchester: 0161 797 8123
London: 0207 438 2045

Online Document Review


Online document review platforms are a powerful and indispensable tool in the eDisclosure and eDiscovery process. They allow for the effective management of vast amounts of electronically stored information (ESI) in commercial litigation and investigations, while drastically reducing costs.


CYFOR are now hosting kCura’s latest Relativity version, 9.5.


Online Document Review

CYFOR utilise KCura’s Relativity software, which is a fully featured online document review platform. It incorporates advanced text analytics search technology that helps improve review speed, organise data by concepts, and quickly identify key issues.

Relativity provides all the tools necessary to tackle an investigation and review challenges, from the smallest to the most complex projects. Relativity also has a full range of business intelligence features to help visualise patterns in data, investigate trends, and make the correct decisions. Any field of metadata or coding information can be turned into a widget, and combine multiple fields to see where information such as search terms intersects with client’s custodians.

Relativity enables CYFOR to meet document production requirements, from creating custom placeholders to automating complex productions, while saving time and avoid common errors when dealing with time critical productions.


Relativity 9.5

Two impressive features of the online document review platform are the Email Threading and Dashboard capabilities. These are advancements on Relativity’s powerful analytics engine, which provides reviewers with visual representations of the data, allowing you to identify trends, gaps or simply have a better overview of the type of data you are looking at.

Email Threading

Email threading is a Relativity Analytics feature, which gathers all forwards, replies and reply-all messages together through the identification of email relationships through analysis of email threads, people involvement, email attachments and duplicate emails. This cuts down the time it takes to perform the review as it focuses your attention to emails which are not duplicated or about an irrelevant topic.

  • Relativity 9.5 introduces a visualisation feature which creates an interactive diagram where every email is laid out in branches and sub-branches. This allows a user to see how a conversation is developed and if or where it veered off into sub-threads on different topics. It also identifies when an email is missing allowing users to identify gaps in conversations. This is incredibly useful as it can help you understand the data set and flow of conversations.
  • Visualisation also allows for colour coding, which allows the user to choose a colour for the coding choices made, such as responsiveness, privilege, confidential etc. This allows you to see a quick overview of what choices were made during the online document review.

Relativity Analytics

Relativity Analytics is a vital tool in assessing the content of large, varied or unknown sets of documents. Analytics functions can greatly reduce the amount of time spent on review by prioritising documents for first pass review or reducing the overall number of documents to review in the workspace. Relativity’s Analytics engine uses a mathematical tool known as Latent Semantic Indexing (LSI) to index documents based on relationship patterns. This identifies correlations and conceptual similarities between documents, allowing the user to gain insight into the topics and categories of documents present within the data set.

The following Analytics functions can be run using the Analytics Index:

  • Analytics categorisation sets

By creating a set of example documents, the Analytics engine uses this information to locate documents with conceptual similarity;

  • Clustering

Clusters are created with limited user input, grouping documents together which can be displayed visually in circle packs to show nearby cluster relationships

  • Concept searching

Different to keyword searches, conceptual searching allows the user to query a block of text to find documents with similar concepts. Each document hit is given a ‘Rank’ to show how closely related it is in concept to the search criteria

  • Keyword expansion

Using the Analytics index, a search can be carried out on a single keyword and expanded to show highly correlated keywords within the data set, based on concept

  • Similar document detection

If a document is of particular interest, it may be beneficial to locate all other documents within the workspace containing similar conceptual content. Using a simple click, Relativity can identify and display these items to the user

In addition, Structured Analytics can be used to organise documents. This includes the following functionality:

  • Email threading

Relativity can piece together email conversations, showing all replies, forwards, attachments and duplicate emails

  • Textual near duplicate identification

This tool identifies groups of documents containing similar textual content. Relativity provides a value to show how similar the document is to its principle

  • Language Identification

By examining the extracted text of each document, Relativity can identify the languages present within the data set, allowing for documents to be batched out for review by language group


Dashboards

Relativity allows for the creation and customisation of dashboards, allowing the user to visualise their data set using a series of pivots and charts. Dashboards are created using widgets and are fully interactive, automatically updating when the user adds filters or searches to drill down into their data set.

Multiple dashboards can be created, named and saved, building up a series of pages configured to the user requirement. Cluster sets can also be visualised in the dashboards by adding a new widget. Adding conditions and filters to the data updates the charts to reflect the results in a series of visual representations.

Dashboards are also a useful tool when managing teams of reviewers. A dashboard can be customised with widgets to show reviewer statistics, including how many documents have been coded per reviewer, documents reviewed per batch or counts of coding choices across a batch or review team.


Online Document Review

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