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Arman Gungor

Arman Gungor is a certified computer forensic examiner (CCE) and an adept e-Discovery expert with over 21 years of computer and technology experience. Arman has been appointed by courts as a neutral computer forensics expert as well as a neutral e-Discovery consultant. His electrical engineering background gives him a deep understanding of how computer systems are designed and how they work.

8 Tips for Preparing a Proper TIFF Production

By How-to

Legal teams often choose to prepare image productions accompanied by load files, and many of them make simple mistakes or bad choices that make it unnecessarily difficult for the recipient to utilize the produced information. While helping a firm sort out a disastrous incoming production, I was inspired to write this post with the hope that it may help someone avoid an unnecessary dispute. Assuming that the e-Discovery processing leading to the production was performed competently, here are a few quick tips for preparing a proper image production.

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How OCRed PDF Productions Degrade Electronic Evidence

By Articles

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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E-mail Conversation Index Analysis for Computer Forensics

By How-to

E-mail messages contain numerous metadata fields that are utilized by computer forensic examiners as well as legal teams. One key MAPI property that is frequently extracted by computer forensics and e-Discovery software, but yet usually overlooked or underutilized, is PR_CONVERSATION_INDEX. This property indicates the relative position of a message within a conversation thread and is typically populated by the e-mail client for each outgoing message.

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Windows Numerical Sort: Why Numeric File Names are Sorted Differently

By How-to

The Shell team at Microsoft at some point decided to improve things a bit and implemented a new way of comparing Unicode strings that contain numerals. The change took effect after Windows 2000, so operating systems such as Windows Server 2003, Windows XP, Windows Vista and Windows 7 sort numerals in folder and file names according to their numeric value. While this seems logical and may be helpful to most people, we believe that it brings new issues, especially in the legal industry.

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Exception Handling and Reporting in e-Discovery

By Articles

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

By Articles

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

By Articles

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

By Articles

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

By Articles

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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Transferring Electronic Evidence in File Containers

By How-to

A vast amount of electronic evidence is being transmitted everyday via electronic file transfers among corporations, law firms and e-Discovery service providers. Most of these transfers involve compressing the evidence into a file archive (ZIP, RAR, 7z etc.) and transferring the resultant archive(s) over the internet. While this is usually a straightforward process, it is critical to make the right decisions and use the right tools to avoid trouble down the road.

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