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Why You Shouldn’t Use Outlook Instant Search for e-Discovery

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Facing litigation and having to produce company documents to third parties can be an unsettling experience. Some businesses react to this by attempting to do as much of the identification, preservation and collection work in-house, using either company staff or their trusted IT consultants. While this sounds like a good idea for keeping as much of the irrelevant company data from the outside and cutting costs, it often backfires when done without the required expertise and tools. Furthermore, it can derail the entire e-Discovery process since subsequent steps such as processing, review and production depend on the proper identification, preservation and collection of relevant ESI.

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How OCRed PDF Productions Degrade Electronic Evidence

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Many legal teams use endorsed searchable PDFs as their preferred format for producing electronic evidence. I suspect that two of the most common reasons for this may be that PDFs are a format attorneys are very familiar with, and that the productions can be prepared in-house using the tools the firm has.

I am generally not a fan of PDF productions because I think they lack both the advantages of a native production (e.g. maintaining the metadata and functionality of complex electronic files) and the advantages of a TIFF production accompanied by load files (e.g. flexibility and ease of use with legal review platforms). In fact, our experience shows that upon receiving a searchable PDF production, most law firms hire an outside company, or engage their in-house litigation support team to have the documents converted to a TIFF production with load files so that they can be loaded into a legal review platform.

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Exception Handling and Reporting in e-Discovery

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In a perfect world, e-Discovery would be as simple as pointing your software at the data source, kicking back and waiting for all documents to be ingested and processed with 100% accuracy. However, in the real world, e-Discovery involves dealing with thousands of file types, some of which are very complex and cannot be automatically handled by even the most sophisticated e-Discovery platforms. Consequently, being able to perform defensible e-Discovery requires the close supervision of experienced e-Discovery experts and a well-thought-out exception handling policy.

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Image Normalization in e-Discovery Processing

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Even though most e-Discovery projects involve image output (TIFF, JPG, PDF etc.), we find that the specifications of the output images are rarely discussed thoroughly. An important detail, which is usually omitted from e-Discovery processing specifications, is whether or not output images should be normalized.

Image normalization (in the e-Discovery sense) is the process of transforming images to make them consistent in terms of dimensions, resolution, color depth and orientation. For example, larger images can be resized to 8.5″x11″, landscape pages can be rotated to portrait, images with different resolutions can be converted to 300 DPI etc.

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Handling Deleted E-mail Messages during e-Discovery Processing

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Most mailboxes contain both active and deleted e-mail messages. By “deleted e-mail messages”, I am referring to messages that were permanently deleted. For example, a message that was deleted using SHIFT+Delete in Outlook or a message that was deleted from the “Deleted Items” folder. In some e-mail platforms, deleted messages are not immediately purged and can easily be recovered. For example, Ms Outlook does not purge deleted e-mail messages from a Personal Storage Table (PST) file until the PST is compacted.

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e-Discovery Database Fields You Should Have in Your Database

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Modern e-Discovery software can extract hundreds of metadata fields from documents. Extracted metadata is typically stored in a back-end database and a subset of it is exported and included in the e-Discovery production or review database. We often receive questions regarding which metadata fields should be included in an e-Discovery review database or which metadata fields should be requested during an electronic document production.

The answers to these questions depend on the requirements of each case and should ultimately be determined by the legal team. That said, we have prepared the following field list as an example, with the hope that it will serve as a good starting point.

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Strange Exchange E-mail Addresses in e-Discovery

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If you are involved in the production or review of electronic evidence, you might have seen e-mail addresses that look a bit different than usual. For example:

/O=EXAMPLE/OU=EXCHANGE ADMINISTRATIVE GROUP (FYDIBOHF23SPDLT)/CN=RECIPIENTS/CN=USERNAME

Have you ever wondered what these values are? The two scenarios we run into most frequently are as follows.

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Frequently Asked Questions About De-Duplication

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De-duplication is used extensively in digital forensics and e-Discovery as a way of culling documents. While the process itself is simple, de-duplication can be performed in numerous ways which affect review time, cost and your understanding of the custodians. Here are some questions that frequently come up while we discuss de-duplication options with clients.

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Time Zones in e-Discovery

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Date/time information extracted from e-mails and electronic documents is a major aspect of electronic evidence. In order to interpret and display the extracted timestamps correctly, most digital forensics and e-Discovery software require the end user to specify a time zone. The selected time zone can have numerous effects such as the appearance of timestamps on printed e-mails or whether or not certain documents fall within the relevant time frame during culling. Especially in cases that involve multiple time zones, it is critical to determine how time zones should be handled in order to avoid potential problems down the road.

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Embedded Objects in e-Discovery

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We believe that discussing project specifications at the onset of a project and getting clear and complete instructions is the first step in completing an e-Discovery project successfully. One of the questions we regularly ask is whether or not embedded objects should be extracted. Over the years, we have found that most of our new clients require an explanation of what embedded objects are and the pros and cons of extracting them.

We typically recommend extracting all compound documents. However, we feel it is important that what this really means is understood clearly and an informed decision is made based on case requirements. We have come up with a few points for you to consider when making such a decision that will hopefully help you determine which route you should take.

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