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Discovery: The DISCO Blog

10 Steps For Preparing Your Production Population

Posted by Tracy Hallmann on Aug 1, 2017 7:58:00 AM

If there is one thing we learn in law school, it is that preparation is key. The process of production is no exception. While DISCO’s user-friendly production tool allows clients the control and transparency of generating their own productions, a production is nonetheless only as good as the population of documents within.

Each time I run a production for a client, I go through the below-outlined steps. While some steps may seem unnecessary, they take much less time than discovering problems once the production is already run, or worse, after it has been submitted to opposing counsel. The littlest steps are very often the most profitable ones in terms of discovering potential issues.

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Topics: ediscovery, tips, best practices

3 Simple Ways to QC Your Production for Errors

Posted by Michelle Anifant on Jul 18, 2017 9:22:00 AM

Producing documents is perhaps the most sensitive event in the ediscovery lifecycle.

Not only do production errors necessitate duplicate work, more importantly, errors may expose you to the risks of violating a court order or leaking sensitive information to the opposing party. Thus, throughout my 13+ years working as a sole practitioner and project manager in the legal industry, I have developed several simple yet valuable ways to QC proactively for production errors.

While this post is by no means exhaustive, it provides a good starting point around best practices and hopefully helps those of you who are new to the world of ediscovery to jump start your quality control toolset.   

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Topics: ediscovery, tips, best practices

Practical Advice on How to Run a Predictive Prioritized Review

Posted by Trevor Jefferies on Jun 29, 2017 6:30:00 AM

In this post, we outline a simple review process using DISCO Artificial Intelligence (AI) that may provide some insight for any particular case.

In summary, the process includes conducting a macro review to determine which documents can be safely culled and/or mass tagged as nonresponsive to winnow down the potential set of responsive documents, randomly sampling that set to obtain a prevalence estimate of particular tags and quality control (QC), performing the review using a combination of DISCO AI and more traditional keyword searching, followed by a final sampling to ensure the results are acceptable. The following hypothetical case will provide more detail to this process...

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Topics: legal technology, best practices

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