Efficient Data Collection is a Stepping Stone Towards a Successful eDiscovery!

With us, skillfully collect what exactly you need with metadata intact

A cautious collection mitigates potential risks saving you both: money and time!

Data collection is the first tangible action in the eDiscovery process. Once the identification is made, it becomes essential to collect the desired data effectively and quickly. The relevance, locations, complexity, and amount of data collected directly impact what will be processed, analyzed and reviewed — significantly contributing to the cost and time spent on all other eDiscovery phases. Without an innovative and targeted approach to collection, legal teams may find case defensibility, budgets, and deadlines at risk.

Data collection can be complex and thus require a team of IT, legal professionals, and eDiscovery experts to handle the collection, irrespective of the method. Experienced eDiscovery professionals help understand the data collection complexities like various data types, cons of different data collection methods, etc. IT professionals find out the best ways to collect relevant data without hampering the existing process. Legal professionals will recommend that the relevant data types and information be collected.

Here’s what you get

Qualified team of collection experts
Qualified team of collection experts
An experienced IT and eDiscovery professionals guides you from the start of the eDiscovery process. With us, discover the potential challenges and find pertinent solutions for effortless data collection
Personalized data collection
Personalized data collection
Every eDiscovery project is different, and so is the data type involved. Based on the kind of eDiscovery, access the most suited data collection practices for collecting the right amount of data from the right data source at the right time
High-Tech collection methods
High-Tech collection methods
Since 2002, we have seen several data types and their evolution from texts and emails to social media chats and snaps. Traditional data collection methods are no longer relevant in this era. Thus, we use best-in-class technology to collect data and get access to the desired data types and metadata
Pattern Pattern

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