Chat eDiscovery 2.5

Designed to produce distinct chat transcripts allowing efficient and rapid reviews

Process, combine, deduplicate and analyse chat data.
Preview and produce well-formatted chat transcripts.

Manage each step of the workflow with a visually appealing web interface.
Bloomberg, Skype, Lync and other instant messaging types, which are sourced from the operational or journaling systems, are currently supported. Transcripts produced offer a unified appearance and features and can be loaded into all modern eDiscovery systems for review.

MESSAGE DEDUPLICATION
-64%
IRRELEVANT EVENTS
-12%
TO BE REVIEWED
avg. 24%

Features

Forexus Chat eDiscovery facilitates the creation of chat transcripts from journaled conversations. Based on advanced techniques chat data can be deduplicated across different custodians, formats and journaling systems. For an efficient identification of trends and gaps, visual representation has been built in. In order to accelerate the review of chat transcripts, system messages and disclaimers can be removed.

One solution for all

Forexus Chat eDiscovery offers a unified solution for pre-processing of different chat types and formats prior to loading the data into your eDiscovery system.

Chat platforms and journaling systems covered

Currently supported chat systems are: Instant Bloomberg, Microsoft Lync and Skype, Thomson Reuters Messenger, MindAlign, NeoTalk and InterChange. The journaling systems supported are: Bloomberg Vault, Symantec Enterprise Vault, Actiance Vantage and OpenText. Support for additional chat and journaling systems can be extended based on your requirements.

Intuitive interface

The visually appealing web interface is based on HTML5 and is designed to work with all modern browsers and devices. There is no need to maintain additional client applications.

Find the gap

All the chat data can be graphically represented on a timeline and analysed in order to identify all exceptions and unexpected gaps.

Eliminate duplicated messages and system events

You can deduplicate chat data across different custodians, formats and archiving systems, remove disclaimers and other system events from the chat to concentrate on relevant content only. The average data to be reviewed was reduced to 24% where Chat eDiscovery was used. This means that you save up to 76% of the costs related to review, redactions and productions of chat messages in eDiscovery.

Search and filtering

You are able to search and filter on custodians, chat types, dates and keywords prior to generating the transcripts. That allows you to further reduce the amount of data to be processed and reviewed.

Security controls and audit

Access is defined on a per case basis and all the actions performed are audited and stored. The built-in audit trail report assures confidence, persuasion and indisputability throughout the workflow.

Visualized communication

Classify data based on the visual representation of communication patterns, relationships and frequencies of interactions.
See who communicates to whom to identify patterns, irregularities and allow further reduction of data.

On-premises or in the cloud

Forexus Chat eDiscovery is designed to work and scale natively on your servers or in the cloud. For higher flexibility and performance multiple processing agents can be deployed.

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