Electronic Discovery

Production is the “Ringo” of the eDiscovery Phases – Best of eDiscovery Daily

God Save the Queen!  Today is our last full day in London and we’re planning to visit Westminster Abbey, which is where all of England’s kings and queens are crowned.  For the next two weeks except for Jane Gennarelli’s Throwback Thursday series, we will be re-publishing some of our more popular and frequently referenced posts.  Today’s post is a topic where people can frequently make mistakes, causing production delays and costly rework.  Enjoy!

Most of the “press” associated with eDiscovery ranges from the “left side of the EDRM model” (i.e., Information Management, Identification, Preservation, Collection) through the stages to prepare materials for production (i.e., Processing, Review and Analysis).  All of those phases lead to one inevitable stage in eDiscovery: Production.  Yet, few people talk about the actual production step.  If Preservation, Collection and Review are the “John”, “Paul” and “George” of the eDiscovery process, Production is “Ringo”.

It’s the final crucial step in the process, and if it’s not handled correctly, all of the due diligence spent in the earlier phases could mean nothing.  So, it’s important to plan for production up front and to apply a number of quality control (QC) checks to the actual production set to ensure that the production process goes as smooth as possible.

Planning for Production Up Front

When discussing the production requirements with opposing counsel, it’s important to ensure that those requirements make sense, not only from a legal standpoint, but a technical standpoint as well.  Involve support and IT personnel in the process of deciding those parameters as they will be the people who have to meet them.  Issues to be addressed include, but not limited to:

  • Format of production (e.g., paper, images or native files);
  • Organization of files (e.g., organized by custodian, legal issue, etc.);
  • Numbering scheme (e.g., Bates labels for images, sequential file names for native files);
  • Handling of confidential and privileged documents, including log requirements and stamps to be applied;
  • Handling of redactions;
  • Format and content of production log;
  • Production media (e.g., CD, DVD, portable hard drive, FTP, etc.).

I was involved in a case a couple of years ago where opposing counsel was requesting an unusual production format where the names of the files would be the subject line of the emails being produced (for example, “Re: Completed Contract, dated 12/01/2011”).  Two issues with that approach: 1) The proposed format only addressed emails, and 2) Windows file names don’t support certain characters, such as colons (:) or slashes (/).  I provided that feedback to the attorneys so that they could address with opposing counsel and hopefully agree on a revised format that made more sense.  So, let the tech folks confirm the feasibility of the production parameters.

The workflow throughout the eDiscovery process should also keep in mind the end goal of meeting the agreed upon production requirements.  For example, if you’re producing native files with metadata, you may need to take appropriate steps to keep the metadata intact during the collection and review process so that the metadata is not inadvertently changed. For some file types, metadata is changed merely by opening the file, so it may be necessary to collect the files in a forensically sound manner and conduct review using copies of the files to keep the originals intact.

Tomorrow, we will talk about preparing the production set and performing QC checks to ensure that the ESI being produced to the requesting party is complete and accurate.

So, what do you think?  Have you had issues with production planning in your cases?  Please share any comments you might have or if you’d like to know more about a particular topic.

Disclaimer: The views represented herein are exclusively the views of the author, and do not necessarily represent the views held by CloudNine Discovery. eDiscoveryDaily is made available by CloudNine Discovery solely for educational purposes to provide general information about general eDiscovery principles and not to provide specific legal advice applicable to any particular circumstance. eDiscoveryDaily should not be used as a substitute for competent legal advice from a lawyer you have retained and who has agreed to represent you.

Proximity, Not Absence, Makes the Heart Grow Fonder – Best of eDiscovery Daily

God Save the Queen!  Today is our first full day in London and we’re planning to visit The Tower of London, which is only about a thousand years old.  For the next two weeks except for Jane Gennarelli’s Throwback Thursday series, we will be re-publishing some of our more popular and frequently referenced posts.  Today’s post is a topic that has come up often as I work with clients and have referenced frequently over the years.  Enjoy!

Recently, I assisted a large corporate client where there were several searches conducted across the company’s enterprise-wide document management systems (DMS) for ESI potentially responsive to the litigation.  Some of the individual searches on these systems retrieved over 200,000 files by themselves!

DMS systems are great for what they are intended to do – provide a storage archive for documents generated within the organization, version tracking of those documents and enable individuals to locate specific documents for reference or modification (among other things).  However, few of them are developed with litigation retrieval in mind.  Sure, they have search capabilities, but it can sometimes be like using a sledgehammer to hammer a thumbtack into the wall – advanced features to increase the precision of those searches may often be lacking.

Let’s say in an oil company you’re looking for documents related to “oil rights” (such as “oil rights”, “oil drilling rights”, “oil production rights”, etc.).  You could perform phrase searches, but any variations that you didn’t think of would be missed (e.g., “rights to drill for oil”, etc.).  You could perform an AND search (i.e., “oil” AND “rights”), and that could very well retrieve all of the files related to “oil rights”, but it would also retrieve a lot of files where “oil” and “rights” appear, but have nothing to do with each other.  A search for “oil” AND “rights” in an oil company’s DMS systems may retrieve every published and copyrighted document in the systems mentioning the word “oil”.  Why?  Because almost every published and copyrighted document will have the phrase “All Rights Reserved” in the document.

That’s an example of the type of issue we were encountering with some of those searches that yielded 200,000 files with hits.  And, that’s where proximity searching comes in.  Proximity searching is simply looking for two or more words that appear close to each other in the document (e.g., “oil within 5 words of rights”) – the search will only retrieve the file if those words are as close as specified to each other, in either order.  Proximity searching helped us reduce that collection to a more manageable number for review, even though the enterprise-wide document management system didn’t have a proximity search feature.

How?  We wound up taking a two-step approach to get the collection to a more likely responsive set.  First, we did the “AND” search in the DMS system, understanding that we would retrieve a large number of files, and exported those results.  After indexing them with an eDiscovery review application that has more precise search alternatives (at CloudNine Discovery, we use OnDemand®), we performed a second search on the set using proximity searching to limit the result set to only files where the terms were near each other.  Then, tested the results and revised where necessary to retrieve a result set that maximized both recall and precision.

The result?  We were able to reduce an initial result set of 200,000 files to just over 5,000 likely responsive files by applying the proximity search to the first result set.  And, we probably saved $50,000 to $100,000 in review costson a single search.

I also often use proximity searches as alternatives to phrase searches to broaden the recall of those searches to identify additional potentially responsive hits.  For example, a search for “Doug Austin” doesn’t retrieve “Austin, Doug” and a search for “Dye 127” may not retrieve “Dye #127”.  One character difference is all it takes for a phrase search to miss a potentially responsive file.  With proximity searching, you can look for these terms close to each other and catch those variations.

So, what do you think?  Do you use proximity searching in your culling for review?  Please share any comments you might have or if you’d like to know more about a particular topic.

Disclaimer: The views represented herein are exclusively the views of the author, and do not necessarily represent the views held by CloudNine Discovery. eDiscoveryDaily is made available by CloudNine Discovery solely for educational purposes to provide general information about general eDiscovery principles and not to provide specific legal advice applicable to any particular circumstance. eDiscoveryDaily should not be used as a substitute for competent legal advice from a lawyer you have retained and who has agreed to represent you.

eDiscovery Throwback Thursdays – How Things Evolved

So far in this blog series, we’ve taken a look at the ‘litigation support culture’ circa1980, and we’ve covered how databases were built and used.  We’ve come a long way since then, and in the next posts I’m going to talk a bit about how things evolved.  But first, if you missed the earlier posts in this series, they can be found here, here, here, here, here, here, here, here and here.

Litigators who used databases circa 1980 – for the most part – recognized a significant improvement in efficiencies.  As technology and approaches evolved over time, more efficiencies were realized.

One of the first big changes in how we worked was the use of microfilm.  Paper documents were still photocopied and coded, but microfilm became the preferred mechanism for storing and retrieving documents.  While the technology had been around for quite a long time, the litigation projects I worked on used paper repositories up until the early 1980s, which is when microfilm started to become the standard. This approach offered multiple advantages, the most significant being:

  1. It dramatically reduced the amount of space required to store a document collection.  The documents for a large case could be stored in a box or two rather than in a room or two. This also meant that it was reasonable to have multiple copies of a document collection stored in offices convenient for the litigation team, rather than a single, central repository of documents.
  2. Attorneys still used central repositories to handle large document pulls, but with microfilm It was faster and easier to retrieve those documents — turnaround time was much better.
  3. It preserved the integrity of the document collection.  Once a collection was filmed, pages wouldn’t be lost, shuffled, or damaged.

So, what is microfilm and how does it work?  Micro-reproductions of document pages are stored on reels of film.  Here’s a picture:

Those reels are labeled with the inclusive document number range.  Now — when doing a document pull – instead of locating a box and pulling a document to photocopy, you would locate a reel, thread it on a microfilm reader (see picture above), scroll to the correct frame, and hit a print button.

This approach evolved even further, and we started using microfiche.  The principle was the same, but the film was stored on cards instead of reels:

The cards were stored in sleeves labeled with the inclusive document numbers, and the cards were inserted into a microfiche reader.

Let me point out that microfilm and microfiche are still in use today in many libraries around the country.  Most libraries are no longer ‘filming’ new documents (they’re using imaging technology), but many still have historic collections of newspaper and magazine articles stored on microfilm or microfiche.

Tune in next week — we’ll continue discussion of how the litigation world circa 1980 evolved and got to where it is today.

Please let us know if there are eDiscovery topics you’d like to see us cover in eDiscoveryDaily.

Disclaimer: The views represented herein are exclusively the views of the author, and do not necessarily represent the views held by CloudNine Discovery. eDiscoveryDaily is made available by CloudNine Discovery solely for educational purposes to provide general information about general eDiscovery principles and not to provide specific legal advice applicable to any particular circumstance. eDiscoveryDaily should not be used as a substitute for competent legal advice from a lawyer you have retained and who has agreed to represent you.

Does Size Matter? – Best of eDiscovery Daily

Vive la France!  Today is our third full day in Paris and we’re planning to have lunch at the Eiffel Tower, which is really large.  For the next two weeks except for Jane Gennarelli’s Throwback Thursday series, we will be re-publishing some of our more popular and frequently referenced posts.  Today’s post is one that has generated a lot of discussion over the years.  Enjoy!

I admit it, with a title like “Does Size Matter?”, I’m looking for a few extra page views.  😉

I frequently get asked how big does an ESI collection need to be to benefit from eDiscovery technology.  In a recent case with one of my clients, the client had a fairly small collection – only about 4 GB.  But, when a judge ruled that they had to start conducting depositions in a week, they needed to review that data in a weekend.  Without culling the data and using OnDemand® to manage the linear review, they would not have been able to make that deadline.  So, they clearly benefited from the use of eDiscovery technology in that case.

But, if you’re not facing a tight deadline, how large does your collection need to be for the use of eDiscovery technology to provide benefits?

I recently conducted a webinar regarding the benefits of First Pass Review – aka Early Case Assessment (ECA), or a more accurate term (as George Socha points out regularly), Early Data Assessment.  One of the topics discussed in that webinar was the cost of review for each gigabyte (GB).  Extrapolated from an analysis conducted by Anne Kershaw a few years ago (and published in the Gartner report E-Discovery: Project Planning and Budgeting 2008-2011), here is a breakdown:

Estimated Cost to Review All Documents in a GB:

  • Pages per GB:                   75,000
  • Pages per Document:        4
  • Documents Per GB:           18,750
  • Review Rate:                    50 documents per hour
  • Total Review Hours:          375
  • Reviewer Billing Rate:       $50 per hour

Total Cost to Review Each GB:      $18,750

Notes: The number of pages per GB can vary widely.  Page per GB estimates tend to range from 50,000 to 100,000 pages per GB, so 75,000 pages (18,750 documents) seems an appropriate average.  50 documents reviewed per hour is considered to be a fast review rate and $50 per hour is considered to be a bargain price.  eDiscovery Daily provided an earlier estimate of $16,650 per GB based on assumptions of 20,000 documents per GB and 60 documents reviewed per hour – the assumptions may change somewhat, but, either way, the cost for attorney review of each GB could be expected to range from at least $16,000 to $18,000, possibly more.

Advanced culling and searching capabilities of tools like OnDemand can enable you to cull out 70-80% of most collections as clearly non-responsive without having to conduct attorney review on those files.  If you have merely a 2 GB collection and assume the lowest review cost above of $16,000 per GB, the use of an ECA tool to cull out 70% of the collection can save $22,400 in attorney review costs.  Is that worth it?

So, what do you think?  Do you use eDiscovery technology for only the really large cases or ALL cases?   Please share any comments you might have or if you’d like to know more about a particular topic.

Disclaimer: The views represented herein are exclusively the views of the author, and do not necessarily represent the views held by CloudNine Discovery. eDiscoveryDaily is made available by CloudNine Discovery solely for educational purposes to provide general information about general eDiscovery principles and not to provide specific legal advice applicable to any particular circumstance. eDiscoveryDaily should not be used as a substitute for competent legal advice from a lawyer you have retained and who has agreed to represent you.

Don’t Get “Wild” with Wildcards – Best of eDiscovery Daily

Vive la France!  Today is our second full day in Paris and we’re planning to visit Versailles, which Marie Antoinette loved so much, she lost her head.  For the next two weeks except for Jane Gennarelli’s Throwback Thursday series, we will be re-publishing some of our more popular and frequently referenced posts.  Today’s post is one that we published on our very first day and have referenced frequently over the years.  Enjoy!

Several months ago, I provided search strategy assistance to a client that had already agreed upon several searches with opposing counsel.  One search related to mining activities, so the attorney decided to use a wildcard of “min*” to retrieve variations like “mine”, “mines” and “mining”.

That one search retrieved over 300,000 files with hits.

Why?  Because there are 269 words in the English language that begin with the letters “min”.  Words like “mink”, “mind”, “mint” and “minion” were all being retrieved in this search for files related to “mining”.  We ultimately had to go back to opposing counsel and negotiate a revised search that was more appropriate.

How do you ensure that you’re retrieving all variations of your search term?

Stem Searches

One way to capture the variations is with stem searching.  Applications that support stem searching give you an ability to enter the root word (e.g., mine) and it will locate that word and its variations.  Stem searching provides the ability to find all variations of a word without having to use wildcards.

Other Methods

If your application doesn’t support stem searches, Morewords.com shows list of words that begin with your search string (e.g., to get all 269 words beginning with “min”, go here – simply substitute any characters for “min” to see the words that start with those characters).  Choose the variations you want and incorporate them into the search instead of the wildcard – i.e., use “(mine or “mines or mining)” instead of “min*” to retrieve a more relevant result set.

Some applications let you select the wildcard variations you wish to use.  OnDemand® enables you to type in the wildcard string, display all the words – in your collection – that begin with that string, and select the variations on which to search.  As a result, you can avoid all of the non-relevant variations and limit the search to the relevant hits.

So, what do you think?  Have you ever been “burned” by wildcard searching?  Do you have any other suggested methods for effectively handling them?  Please share any comments you might have or if you’d like to know more about a particular topic.

Disclaimer: The views represented herein are exclusively the views of the author, and do not necessarily represent the views held by CloudNine Discovery. eDiscoveryDaily is made available by CloudNine Discovery solely for educational purposes to provide general information about general eDiscovery principles and not to provide specific legal advice applicable to any particular circumstance. eDiscoveryDaily should not be used as a substitute for competent legal advice from a lawyer you have retained and who has agreed to represent you.

eDiscovery Daily is Four Years Old!

Believe it or not, it has been four years ago this past Saturday since we launched the eDiscovery Daily blog!

When we launched nearly four years ago on September 20, 2010, our goal was to be a daily resource for eDiscovery news and analysis.  Now, we’ve done so for four years.  We’ve lasted as long as many presidential administrations (and probably worked WAY more days).  We hit over 300,000 visits to the site in May and, earlier this month published our 1,000th post!  And, every post we have published is still available on the site for your reference, which has made eDiscovery Daily into quite a knowledgebase!  We’re quite proud of that.

Comparing our first three months of existence to now, we have seen traffic on our site grow an amazing 474%!  Our subscriber base has more than tripled in the last three years!  And, as always, we have you to thank for that!  Thanks for making the eDiscoveryDaily blog a regular resource for your eDiscovery news and analysis!  We really appreciate the support!

As many of you know by now, we like to take a look back every six months at some of the important stories and topics during that time.  So, here are some posts over the last six months you may have missed.  Enjoy!

After 2,354 Public Comments, One Major Change to the Proposed Federal Rules: After lots of controversy about Rule 37(e), two subcommittees made significant changes to the rule.  It was amended again later.

Definition of “Electronic Storage” Considered in Invasion of Privacy Lawsuit: There goes the Stored Communications Act again.

Daughter’s Facebook Post Voids $80,000 Settlement: Moral of the story – don’t publicly gloat if your dad has a non-disclosure agreement as part of the settlement.

New California Proposed Opinion Requires eDiscovery Competence: Shouldn’t every state have one on these?

How to “Alert” Yourself to Interesting eDiscovery News and Announcements: Here’s where I get some of my topic ideas.

The Mergers and Acquisitions Keep on Coming: Thanks to Rob Robinson and my boss, Brad Jenkins, you’ll be able to tell the players with or without a scorecard.

Surprisingly Few States Have an Ethics Opinion Regarding Lawyer Cloud Usage: Go figure.

Everything You Wanted to Know about Forms of Production, Don’t Be Afraid to Ask: Leave it to Craig Ball to provide an extremely useful guide.

The Pitfalls of Self-Culling and Image Files: Why having custodians do their own self-collection and culling may be a bad idea.

Want to Craft Better Searches? Use a Dictionary: Without it, you can retrieve too many non-responsive documents or, even worse, miss some important ones.

Are eDiscovery Vendor Fees “Unconscionable”?: This is why it pays to compare rates.

Failure to Preserve Cloud-Based Data Results in Severe Sanction for Defendant: You are still responsible for your Salesforce.com database, even if you don’t store it.

Production from a Provider’s Point of View:  What does an eDiscovery provider need to know when producing your data?  Get answers here and here.

It’s Friday at 5 and I Need Data Processed to Review this Weekend: It might be funnier if it didn’t actually happen sometimes.

When Reviewing and Producing Documents, Don’t Forget the “Mother and Child Reunion”: It’s easy to leave out “family” members of responsive files if you’re not careful.

Unfortunately, we also lost two amazing eDiscovery pioneers in the past few months: Richard G. Braman and Browning Marean.

This is just a sampling of topics that we’ve covered.  Hope you enjoyed them!

For the next two weeks (other than Jane’s Thursday posts), we will be re-publishing a few of our popular posts from the past as I will be on my honeymoon!  While blog editors don’t need as much vacation as US presidents do, we still need a break every once in a while.  🙂

Disclaimer: The views represented herein are exclusively the views of the author, and do not necessarily represent the views held by CloudNine Discovery. eDiscoveryDaily is made available by CloudNine Discovery solely for educational purposes to provide general information about general eDiscovery principles and not to provide specific legal advice applicable to any particular circumstance. eDiscoveryDaily should not be used as a substitute for competent legal advice from a lawyer you have retained and who has agreed to represent you.

Is Technology Assisted Review Older than the US Government? – eDiscovery Trends

A lot of people consider Technology Assisted Review (TAR) and Predictive Coding (PC) to be new technology.  We attempted to debunk that as myth last year after our third annual thought leader interview series by summarizing comments from some of the thought leaders that noted that TAR and PC really just apply artificial intelligence to the review process.  But, the foundation for TAR may go way farther back than you might think.

In the BIA blog, Technology Assisted Review: It’s not as new as you think it is, Robin Athlyn Thompson and Brian Schrader take a look at the origins of at least one theory behind TAR.  Called the “Naive Bayes classifier”, it’s based on theorems that were essentially introduced to the public in 1812.  But, the theorems existed quite a bit earlier than that.

Bayes’s theorem is named after Rev. Thomas Bayes (who died in 1761), who first showed how to use new evidence to update beliefs. He lived so long ago, that there is no known widely accepted portrait of him.  His friend Richard Price edited and presented this work in 1763, after Bayes’s death, as An Essay towards solving a Problem in the Doctrine of Chances.  Bayes’ algorithm remained unknown until it was independently rediscovered and further developed by Pierre-Simon Laplace, who first published the modern formulation in his 1812 Théorie analytique des probabilities (Analytic theory of probabilities).

Thompson and Schrader go on to discuss more recent uses of artificial intelligence algorithms to map trends, including Amazon’s More Like This functionality that Amazon uses to recommend other items that you may like, based on previous purchases.  That technology has been around for nearly two decades – can you believe it’s been that long? – and is one of the key factors for Amazon’s success over that time.

So, don’t scoff at the use of TAR because it’s “new technology”, that thinking is “naïve”.  Some of the foundation statistical theories for TAR go further back than the birth of our country.

So, what do you think?  Has your organization used technology assisted review on a case yet?  Please share any comments you might have or if you’d like to know more about a particular topic.

Disclaimer: The views represented herein are exclusively the views of the author, and do not necessarily represent the views held by CloudNine Discovery. eDiscoveryDaily is made available by CloudNine Discovery solely for educational purposes to provide general information about general eDiscovery principles and not to provide specific legal advice applicable to any particular circumstance. eDiscoveryDaily should not be used as a substitute for competent legal advice from a lawyer you have retained and who has agreed to represent you.

eDiscovery Throwback Thursdays – How Databases Were Used, Circa Early 1980s, Part 5

So far in this blog series, we’ve taken a look at the ‘litigation support culture’ in the late 1970’s and early 1980’s, we’ve covered how databases were built, and we started discussing how databases were used.  We’re going to continue that in this post.  But first, if you missed the earlier posts in this series, they can be found here, here, here, here, here, here, here and here.

In last week’s post, we covered searching a database.  As I mentioned, searches were typically done by a junior level litigation team member who was trained to use the search engine.  Search results were printed on thermal paper, and that paper was flattened, folded accordion style, and given to a senior attorney to review – with the goal of identifying the documents he or she would like to see.  Those printouts included information that was recorded by a coder for each document.  A typical database record on a printout might look like this:

DocNo: PL00004568 – 4572

DocDate: 08/15/72

DocType: LETTER

Title: 556 Specifications

Characteristics: ANNOTATED; NO SIGNATURE

Author: Jackson-P

Author Org: ABC Inc.

Recipient: Parker-T

Recipient Org: XYZ Corp.

Copied: Franco-W; Hopkins-R

Copied Org: ABC Inc.

Mentioned: Phillips-K; Andrews-C

Subjects: A122 Widget 556; C320 Instructions

Contents: This letter incudes specifications for product 556 and requests confirmation that it meets requirements.

Source: ABC-Parker

The attorney reviewing the printout would determine (based on the coded information) which documents to review – checking those off with a pen.

The marked up printout was delivered to the archive librarian for ‘pulling’.  We NEVER turned over the original (from the archive’s ‘original working copy’).  Rather, an archive clerk worked with the printout, locating boxes that included checked documents, and locating the documents within those boxes. The clerk made a photocopy of each document, returned the originals to their boxes, and placed the photocopies in a second box.  When the ‘document pull’ was complete, a QC clerk verified the copies against the printout to ensure nothing was missed, and then the copies were delivered to the attorney.

In last week’s post, I mentioned how long it took for a database to get built.  Once the database was available for use, retrievals were slow, by today’s standards.  Depending on the number of documents to be pulled, it could take days for an attorney to get a stack of documents back to review.  While that would be unacceptable today, it was a huge improvement over the alternative at the time – which was to flip through an entire document collection eyeballing every page looking for documents of interest.  For example, when preparing for a deposition, a team of paralegals would get to work going through boxes of documents and eyeballing every page looking for the deponent’s name.

Working with a database then was – by today’s standards – done at a snail’s pace.  But the time savings at the time were significant.  And the search results were usually more thorough.  On one project I managed, just as the database loading was completed, an attorney called me to say he was preparing for a deposition and had his paralegals manually review the collection looking for the deponent’s name.  They spent a week doing it and found under 200 documents. He was uncomfortable with those results.  I told him the database was almost available – we just had to do some testing – but I could do a search for him.  I did that while he waited on the phone and quickly reported back to him that the database search found almost twice as many documents.  We delivered the documents to him within a couple of days.

Tune in next week and we’ll cover how the litigation world circa 1980 evolved and got to where it is today.

Please let us know if there are eDiscovery topics you’d like to see us cover in eDiscoveryDaily.

Disclaimer: The views represented herein are exclusively the views of the author, and do not necessarily represent the views held by CloudNine Discovery. eDiscoveryDaily is made available by CloudNine Discovery solely for educational purposes to provide general information about general eDiscovery principles and not to provide specific legal advice applicable to any particular circumstance. eDiscoveryDaily should not be used as a substitute for competent legal advice from a lawyer you have retained and who has agreed to represent you.

Court Grants Motion for Spoliation Sanctions Due to Data that is “Less Accessible” – eDiscovery Case Law

In Mazzei v. Money Store, 01cv5694 (JGK) (RLE) (S.D. N.Y. July 21, 2014), New York Magistrate Judge Ronald L. Ellis granted the plaintiff’s motion for spoliation sanctions against the defendant, ordering the defendant to bear the cost of obtaining all the relevant data in question from a third party as well as paying for plaintiff attorney fees in filing the motion.

In this class action fraud case, the plaintiff requested that the defendants be sanctioned for violating the duty to preserve information within an electronic database created by a third party, claiming that the information had been lost from the electronic database system and was now in the possession of another third party, making it more costly to retrieve.  Accordingly, the plaintiff asked the court to direct the defendants to obtain the information from the third party, as a sanction for their failure to preserve the information in its original format.

On the other hand, the defendants claimed that the information was preserved, but it was “not readable,” and stated that it would cost a minimum of $10,000 to determine if the information was even searchable. The defendants also argued that the “not readable” documents were not their responsibility to preserve and produce because the information was controlled by a third party.

Judge Ellis stated that “[a] party is in control of any documents in the possession of a third party if that third party is contractually obligated to make them available…Defendants had both the legal right and practical ability to obtain the information relating to fees in the New Invoice System after the initiation of this action”. He noted that the defendants had a Master Services Agreement with the original third party provider of the database, which gave the defendants “a contractual right to demand the information specifically identifying the fees being charged”, so the defendants “were in control of that information”.

Regarding the defendant’s contention that there is no spoliation issue because the plaintiffs have not shown that the information in the system is less accessible now than prior to the transfer of the defendants’ access to the system, Judge Ellis declared “This argument has no merit. Mazzei asserts, and Defendants do not dispute, that the only remaining trace of the information in the New Invoice System is possessed by Lender Processing Services and is not presently in a readable format. Therefore, the information is less accessible than it was when Defendants had access to it.”

Finding that the information was relevant and that the defendants “acted with a culpable state of mind” when they failed to preserve the data in its original form, Judge Ellis ordered the defendants “to 1) bear the cost of determining whether the New Invoice System data currently in the possession of LPS is searchable; 2) pay Mazzei his attorneys’ fees for this application.”  The plaintiff was ordered to “submit an affidavit detailing reasonable hours and rates associated with its motion by August 1”.

So, what do you think?  Was the judge right to sanction the defendant for failing to preserve the accessibility of the information?  Please share any comments you might have or if you’d like to know more about a particular topic.

Disclaimer: The views represented herein are exclusively the views of the author, and do not necessarily represent the views held by CloudNine Discovery. eDiscoveryDaily is made available by CloudNine Discovery solely for educational purposes to provide general information about general eDiscovery principles and not to provide specific legal advice applicable to any particular circumstance. eDiscoveryDaily should not be used as a substitute for competent legal advice from a lawyer you have retained and who has agreed to represent you.

Litigation Support Tools of the Trade – eDiscovery Best Practices

If you have worked in litigation support for a number of years like I have, you start to assemble a toolkit of applications that help you get your job done more quickly and efficiently.  In her excellent Litigation Support Guru blog, Amy Bowser-Rollins (who was previously profiled on THIS blog) has recently published a series of posts that describe tools of the trade that she recommends to litigation support “newbies”.  Let’s take a look.

The entire series of 18 Tools of the Trade is available here.  Here are the specific tools that she covers:

  1. TextPad
  2. Snagit
  3. Unstoppable Copier
  4. Concordance CPL to convert DAT to DCB
  5. Bulk Rename Utility
  6. TrueCrypt
  7. FileZilla
  8. Beyond Compare
  9. Dan Biemer Concordance CPLs
  10. Tableau
  11. Avery DesignPro
  12. UltraEdit
  13. FTK Imager (also previously discussed on our blog here, here, here, here and here)
  14. Directory Lister Pro
  15. iConvert
  16. Hard Drive SATA/IDE Adapter
  17. 7-Zip
  18. AutoCAD Viewer

Whether you need to edit large text files, perform screen captures, copy or rename files, manipulate data for Concordance, encrypt data for transfer, FTP data using an intuitive interface, capture data from a drive without spoliating evidence, create CD labels, convert load files, compress file collections or view engineering drawings, there is an application for you.  I personally use many of these frequently, including TextPad, Snagit, TrueCrypt, FileZilla, Beyond Compare, FTK Imager and iConvert.

Several of these applications are free.  Most are at least inexpensive.  They are vital “tools of the trade” for litigation support professionals.  Kudos to Amy for a terrific blog series!

So, what do you think?  What “tools of the trade” do you have in your litigation support “tool belt”?  Please share any comments you might have or if you’d like to know more about a particular topic.

Disclaimer: The views represented herein are exclusively the views of the author, and do not necessarily represent the views held by CloudNine Discovery. eDiscoveryDaily is made available by CloudNine Discovery solely for educational purposes to provide general information about general eDiscovery principles and not to provide specific legal advice applicable to any particular circumstance. eDiscoveryDaily should not be used as a substitute for competent legal advice from a lawyer you have retained and who has agreed to represent you.