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Thought Leader Q&A: Christine Musil of Informative Graphics Corporation
 

Tell me about your company and the products you represent.  Informative Graphics Corp. (IGC) is a leading developer of commercial software to view, collaborate on, redact and publish documents. Our products are used by corporations, law firms and government agencies around the world to access and safely share content without altering the original document.

What are some examples of how electronic redaction has been relevant in eDiscovery lately?  Redaction is walking the line between being responsive and protecting privilege and privacy. A great recent example of a redaction mistake having pretty broad implications includes the lawyers for former Illinois governor Rod Blagojevich requesting a subpoena of President Obama. The court filing included areas that had been improperly redacted by Blagojevich’s lawyers. While nothing new or shocking was revealed, this snafu put his reputation up for public inspection and opinion once again.  

What are some of the pitfalls in redacting PDFs?  The big pitfall is not understanding what a redaction is and why it is important to do it correctly. People continue to make the mistake of using a drawing tool to cover text and then publishing the document to PDF. The drawing shape visually blocks the text, but someone can use the Text tool in Acrobat to highlight the text and paste it into Notepad.  Using a true electronic redaction tool like Redact-It and being properly trained to use it is essential. 

Is there such thing as native redaction?  This is such a hot topic that I recently wrote a white paper on the subject titled “The Reality of Native Format Production and Redaction.” The answer is: It depends who you ask. From a realistic perspective, no, there is no such thing as native redaction. There is no tool that supports multiple formats and gives you back the document in the same format as the original. Even if there was such a tool, this seems dangerous and ripe for abuse (what else might “accidentally” get changed while they are at it?). 

You recently joined EDRM’s XML section. What are you currently working on in that endeavor, to the extent you can talk about, and why do you think XML is an important part of the EDRM?  The EDRM XML project is all about creating a single, universal format for eDiscovery. The organization’s goal is really to eliminate issues around the multitude of formats in the world and streamline review and production. Imagine never again receiving a CD full of flat TIFF files with separate text files! This whole issue of how users control and see document content is at the core of what IGC does, which makes this project a great fit for IGC’s expertise.  

About Christine Musil

Christine Musil is Director of Marketing for Informative Graphics Corporation, a viewing, annotation and content management software company based in Arizona. Informative Graphics makes several products including Redact-It, an electronic redaction solution used by law firms, corporate legal departments, government agencies and a variety of other professional service companies.

Announcing eDiscovery Thought Leader Q&A Series!
 

eDiscovery Daily is excited to announce a new blog series of Q&A interviews with various eDiscovery thought leaders.  Over the next three weeks, we will publish interviews conducted with six individuals with unique and informative perspectives on various eDiscovery topics.  Mark your calendars for these industry experts!

Christine Musil is Director of Marketing for Informative Graphics Corporation, a viewing, annotation and content management software company based in Arizona.  Christine will be discussing issues associated with native redaction and redaction of Adobe PDF files.  Her interview will be published this Thursday, October 14.

Jim McGann is Vice President of Information Discovery for Index Engines. Jim has extensive experience with the eDiscovery and Information Management.  Jim will be discussing issues associated with tape backup and retrieval.  His interview will be published this Friday, October 15.

Alon Israely is a Senior Advisor in BIA’s Advisory Services group and currently oversees BIA’s product development for its core technology products.  Alon will be discussing best practices associated with “left side of the EDRM model” processes such as preservation and collection.  His interview will be published next Thursday, October 21.

Chris Jurkiewicz is Co-Founder of Venio Systems, which provides Venio FPR™ allowing legal teams to analyze data, provide an early case assessment and a first pass review of any size data set.  Chris will be discussing current trends associated with early case assessment and first pass review tools.  His interview will be published next Friday, October 22.

Kirke Snyder is Owner of Legal Information Consultants, a consulting firm specializing in eDiscovery Process Audits to help organizations lower the risk and cost of e-discovery.  Kirke will be discussing best practices associated with records and information management.  His interview will be published on Monday, October 25.

Brad Jenkins is President and CEO for Trial Solutions, which is an electronic discovery software and services company that assists litigators in the collection, processing and review of electronic information.  Brad will be discussing trends associated with SaaS eDiscovery solutions.  His interview will be published on Tuesday, October 26.

We thank all of our guests for participating!

So, what do you think?  Is there someone you would like to see interviewed for the blog?  Are you an industry expert with some information to share from your “soapbox”?  If so, please share any comments or contact me at daustin@trialsolutions.net.  We’re looking to assemble our next group of interviews now!

First Pass Review: Domain Categorization of Your Opponent’s Data

Yesterday, we talked about the use of First Pass Review (FPR) applications (such as FirstPass™, powered by Venio FPR™) to not only conduct first pass review of your own collection, but also to analyze your opponent’s ESI production. One way to analyze that data is through “fuzzy” searching to find misspellings or OCR errors in an opponent’s produced ESI.

Domain Categorization

Another type of analysis is the use of domain categorization. Email is generally the biggest component of most ESI collections and each participant in an email communication belongs to a domain associated with the email server that manages their email.

FirstPass supports domain categorization by providing a list of domains associated with the ESI collection being reviewed, with a count for each domain that appears in emails in the collection. Domain categorization provides several benefits when reviewing your opponent’s ESI:

  • Non-Responsive Produced ESI: Domains in the list that are obviously non-responsive to the case can be quickly identified and all messages associated with those domains can be “group-tagged” as non-responsive. If a significant percentage of files are identified as non-responsive, that may be a sign that your opponent is trying to “bury you with paper” (albeit electronic).
  • Inadvertent Disclosures: If there are any emails associated with outside counsel’s domain, they could be inadvertent disclosures of attorney work product or attorney-client privileged communications. If so, you can then address those according to the agreed-upon process for handling inadvertent disclosures and clawback of same.
  • Issue Identification: Messages associated with certain parties might be related to specific issues (e.g., an alleged design flaw of a specific subcontractor’s product), so domain categorization can isolate those messages more quickly.

In summary, there are several ways to use first pass review tools, like FirstPass, for reviewing your opponent’s ESI production, including: email analytics, synonym searching, fuzzy searching and domain categorization. First pass review isn’t just for your own production; it’s also an effective process to quickly evaluate your opponent’s production.

So, what do you think? Have you used first pass review tools to assess an opponent’s produced ESI? Please share any comments you might have or if you’d like to know more about a particular topic.

First Pass Review: Fuzzy Searching Your Opponent’s Data

Yesterday, we talked about the use of First Pass Review (FPR) applications (such as FirstPass™, powered by Venio FPR™) to not only conduct first pass review of your own collection, but also to analyze your opponent’s ESI production. One way to analyze that data is through synonym searching to find variations of your search terms to increase the possibility of finding the terminology used by your opponents.

Fuzzy Searching

Another type of analysis is the use of fuzzy searching. Attorneys know what terms they’re looking for, but those terms may not often be spelled correctly. Also, opposing counsel may produce a number of image only files that require Optical Character Recognition (OCR), which is usually not 100% accurate.

FirstPass supports “fuzzy” searching, which is a mechanism by finding alternate words that are close in spelling to the word you’re looking for (usually one or two characters off). FirstPass will display all of the words – in the collection – close to the word you’re looking for, so if you’re looking for the term “petroleum”, you can find variations such as “peroleum”, “petoleum” or even “petroleom” – misspellings or OCR errors that could be relevant. Then, simply select the variations you wish to include in the search. Fuzzy searching is the best way to broaden your search to include potential misspellings and OCR errors and FirstPass provides a terrific capability to select those variations to review additional potential “hits” in your collection.

Tomorrow, I’ll talk about the use of domain categorization to quickly identify potential inadvertent disclosures and weed out non-responsive files produced by your opponent, based on the domain of the communicators. Hasta la vista, baby!  🙂

In the meantime, what do you think? Have you used fuzzy searching to find misspellings or OCR errors in an opponent’s produced ESI? Please share any comments you might have or if you’d like to know more about a particular topic.

First Pass Review: Synonym Searching Your Opponent’s Data

Yesterday, we talked about the use of First Pass Review (FPR) applications (such as FirstPass™, powered by Venio FPR™) to not only conduct first pass review of your own collection, but also to analyze your opponent’s ESI production. One way to analyze that data is through email analytics to see the communication patterns graphically to identify key parties for deposition purposes and look for potential production omissions.

Synonym Searching

Another type of analysis is the use of synonym searching. Attorneys understand the key terminology their client uses, but they often don’t know the terminology their client’s opposition uses because they haven’t interviewed the opposition’s custodians. In a product defect case, the opposition may refer to admitted design or construction “mistakes” in their product or process as “flaws”, “errors”, “goofs” or even “flubs”. With FirstPass, you can enter your search term into the synonym searching section of the application and it will provide a list of synonyms (with hit counts of each, if selected). Then, you can simply select the synonyms you wish to include in the search. As a result, FirstPass identifies synonyms of your search terms to broaden the scope and catch key “hits” that could be the “smoking gun” in the case.

Tomorrow, I’ll talk about the use of fuzzy searching to find misspellings that may be commonly used by your opponent or errors resulting from Optical Character Recognition (OCR) of any image-only files that they produce. Stay tuned! 🙂

In the meantime, what do you think? Have you used synonym searching to identify variations on terms in an opponent’s produced ESI? Please share any comments you might have or if you’d like to know more about a particular topic.

First Pass Review: Of Your Opponent’s Data

In the past few years, applications that support Early Case Assessment (ECA) (or Early Data Assessment, as I prefer to call it) and First Pass Review (FPR) of ESI have become widely popular in eDiscovery as the analytical and culling benefits of conducting FPR have become obvious. The benefit of these FPR tools to analyze and cull their ESI before conducting attorney review and producing relevant files has become increasingly clear. But, nobody seems to talk about what these tools can do with opponent’s produced ESI.

Less Resources to Understand Data Produced to You

In eDiscovery, attorneys typically develop a reasonably in-depth understanding of their collection. They know who the custodians are, have a chance to interview those custodians and develop a good knowledge of standard operating procedures and terminology of their client to effectively retrieve responsive ESI. However, that same knowledge isn’t present when reviewing opponent’s data. Unless they are deposed, the opposition’s custodians aren’t interviewed and where the data originated is often unclear. The only source of information is the data itself, which requires in-depth analysis. An FPR application like FirstPass™, powered by Venio FPR™, can make a significant difference in conducting that analysis – provided that you request a native production from your opponent, which is vital to being able to perform an in-depth analysis.

Email Analytics

The ability to see the communication patterns graphically – to identify the parties involved, with whom they communicated and how frequently – is a significant benefit to understanding the data received. FirstPass provides email analytics to understand the parties involved and potentially identify other key opponent individuals to depose in the case. Dedupe capabilities enable quick comparison against your production to confirm if the opposition has possibly withheld key emails between opposing parties. FirstPass also provides an email timeline to enable you to determine whether any gaps exist in the opponent’s production.

Tomorrow, I’ll talk about the use of synonym searching to find variations of your search terms that may be common terminology of your opponent. Same bat time, same bat channel! 🙂

In the meantime, what do you think? Have you used email analytics to analyze an opponent’s produced ESI? Please share any comments you might have or if you’d like to know more about a particular topic.