How to Handle a Mountain of Information

How to Handle a Mountain of Information

How to Handle a Mountain of Information

Preserving electronic information such as email, attachments, spreadsheets and databases is a pre-requisite of the e-disclosure process. In order to comply with the legal mandate and avoid any legal hassles, organizations store all information. This practice of storing all information, to avoid being subject to penalties and losses due to storage negligence, has resulted in hoarding mountains of information.

It is a struggle for organizations to achieve efficiency in ediscovery processes because of the amount of time consumed and the resources spent on search criteria. The larger the information pool, the more difficult and expensive it becomes to implement e discovery tools. Organizations need to develop a document retention plan to convert large masses of information into manageable units.

An information management system is the respite that organizations seek whereby unnecessary documents with no legal bearing are discarded after a certain period of time. This makes the electronic disclosure process simpler and faster. Implementing pre-culling strategies can significantly reduce the volume of data acquired and produce responsive data for reviewing purposes to promote e-discovery

Pre-culling for Filtering Relevant Data

Courts grant little time for the collection of relevant evidence after lawsuits are filed. This leaves lawyers with little time to exercise strategies. Thus the traditional methods of keyword searching and data filtering are unable to deliver the appropriate evidence. Pre-culling methods can be used to allow users to view data and files in their native format before processing and restoration procedures. The data can be searched using various options such as subject matter, keywords, context, custodian, metadata, etc. This method enables users to view the data from several angles, helps in early case assessments and saves time and costs by excluding all irrelevant raw data .

Efficient Sorting

There is another process that can assist in culling large pools of data. The header scan that provides information in the back-up header, such as the back-up date and back-up software used, can cull with relevance to the date frames. Any data that may have been stored in the past could be mistakenly culled and overlooked. Server scan is another productive culling procedure that can identify the servers and exclude all file systems that have no legal importance. File-Level Catalogs are yet another effective culling procedure that provides complete history, like file names, document creation, modification dates, etc. Here documents that have been created or modified by those who are connected to the present litigation case can be identified for further processing and reviewing.

Advantages of Pre-culling

Culling relevant data provides numerous benefits. Effective culling can lead to limited but relevant information reviewing and processing. This helps attorneys perform early case assessments and determine the scope of the case. Accordingly, attorneys can implement purposeful strategies. In addition, organizations save on time and costs.

Organizations pile up information to avoid being prosecuted by the law. Generally those who cannot separate trash from treasure are displeased with the results of e-disclosure procedures. Courts and legal counsel also have to suffer along with companies when the evidence provided is insufficient, missing or irrelevant. Pre-culling data is the need of the hour that can produce responsive data through cost-effective means.

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