e-discovery 2.0

The New Year has now dawned and with it, the certainty that 2012 will bring new developments to the world of eDiscovery.  Last month, we spotlighted some eDiscovery trends for 2012 that we feel certain will occur in the near term.  To understand how these trends will play out, it is instructive to review some of the top eDiscovery cases from 2011.  These decisions provide a roadmap of best practices that the courts promulgated last year.  They also spotlight the expectations that courts will likely have for organizations in 2012 and beyond.

Issuing a Timely and Comprehensive Litigation Hold

Case: E.I. du Pont de Nemours v. Kolon Industries (E.D. Va. July 21, 2011)

Summary: The court issued a stiff rebuke against defendant Kolon Industries for failing to issue a timely and proper litigation hold.  That rebuke came in the form of an instruction to the jury that Kolon executives and employees destroyed key evidence after the company’s preservation duty was triggered.  The jury responded by returning a stunning $919 million verdict for DuPont.

The spoliation at issue occurred when several Kolon executives and employees deleted thousands emails and other records relevant to DuPont’s trade secret claims.  The court laid the blame for this destruction on the company’s attorneys and executives, reasoning they could have prevented the spoliation through an effective litigation hold process.  At issue were three hold notices circulated to the key players and data sources.  The notices were all deficient in some manner.  They were either too limited in their distribution, ineffective since they were prepared in English for Korean-speaking employees, or too late to prevent or otherwise ameliorate the spoliation.

The Lessons for 2012: The DuPont case underscores the importance of issuing a timely and comprehensive litigation hold notice.  As DuPont teaches, organizations should identify what key players and data sources may have relevant information.  A comprehensive notice should then be prepared to communicate the precise hold instructions in an intelligible fashion.  Finally, the hold should be circulated immediately to prevent data loss.

Organizations should also consider deploying the latest technologies to help effectuate this process.  This includes an eDiscovery platform that enables automated legal hold acknowledgements.  Such technology will allow custodians to be promptly and properly apprised of litigation and thereby retain information that might otherwise have been discarded.

Another Must-Read Case: Haraburda v. Arcelor Mittal U.S.A., Inc. (D. Ind. June 28, 2011)

Suspending Document Retention Policies

Case: Viramontes v. U.S. Bancorp (N.D. Ill. Jan. 27, 2011)

Summary: The defendant bank defeated a sanctions motion because it modified aspects of its email retention policy once it was aware litigation was reasonably foreseeable.  The bank implemented a retention policy that kept emails for 90 days, after which the emails were overwritten and destroyed.  The bank also promulgated a course of action whereby the retention policy would be promptly suspended on the occurrence of litigation or other triggering event.  This way, the bank could establish the reasonableness of its policy in litigation.  Because the bank followed that procedure in good faith, it was protected from court sanctions under the Federal Rules of Civil Procedure 37(e) “safe harbor.”

The Lesson for 2012: As Viramontes shows, an organization can be prepared for eDiscovery disputes by timely suspending aspects of its document retention policies.  By modifying retention policies when so required, an organization can develop a defensible retention procedure and be protected from court sanctions under Rule 37(e).

Coupling those procedures with archiving software will only enhance an organization’s eDiscovery preparations.  Effective archiving software will have a litigation hold mechanism, which enables an organization to suspend automated retention rules.  This will better ensure that data subject to a preservation duty is actually retained.

Another Must-Read Case: Micron Technology, Inc. v. Rambus Inc., 645 F.3d 1311 (Fed. Cir. 2011)

Managing the Document Collection Process

Case: Northington v. H & M International (N.D.Ill. Jan. 12, 2011)

Summary: The court issued an adverse inference jury instruction against a company that destroyed relevant emails and other data.  The spoliation occurred in large part because legal and IT were not involved in the collection process.  For example, counsel was not actively engaged in the critical steps of preservation, identification or collection of electronically stored information (ESI).  Nor was IT brought into the picture until 15 months after the preservation duty was triggered. By that time, rank and file employees – some of whom were accused by the plaintiff of harassment – stepped into this vacuum and conducted the collection process without meaningful oversight.  Predictably, key documents were never found and the court had little choice but to promise to inform the jury that the company destroyed evidence.

The Lesson for 2012: An organization does not have to suffer the same fate as the company in the Northington case.  It can take charge of its data during litigation through cooperative governance between legal and IT.  After issuing a timely and effective litigation hold, legal should typically involve IT in the collection process.  Legal should rely on IT to help identify all data sources – servers, systems and custodians – that likely contain relevant information.  IT will also be instrumental in preserving and collecting that data for subsequent review and analysis by legal.  By working together in a top-down fashion, organizations can better ensure that their eDiscovery process is defensible and not fatally flawed.

Another Must-Read Case: Green v. Blitz U.S.A., Inc. (E.D. Tex. Mar. 1, 2011)

Using Proportionality to Dictate the Scope of Permissible Discovery

Case: DCG Systems v. Checkpoint Technologies (N.D. Ca. Nov. 2, 2011)

The court adopted the new Model Order on E-Discovery in Patent Cases recently promulgated by the U.S. Court of Appeals for the Federal Circuit.  The model order incorporates principles of proportionality to reduce the production of email in patent litigation.  In adopting the order, the court explained that email productions should be scaled back since email is infrequently introduced as evidence at trial.  As a result, email production requests will be restricted to five search terms and may only span a defined set of five custodians.  Furthermore, email discovery in DCG Systems will wait until after the parties complete discovery on the “core documentation” concerning the patent, the accused product and prior art.

The Lesson for 2012: Courts seem to be slowly moving toward a system that incorporates proportionality as the touchstone for eDiscovery.  This is occurring beyond the field of patent litigation, as evidenced by other recent cases.  Even the State of Utah has gotten in on the act, revising its version of Rule 26 to require that all discovery meet the standards of proportionality.  While there are undoubtedly deviations from this trend (e.g., Pippins v. KPMG (S.D.N.Y. Oct. 7, 2011)), the clear lesson is that discovery should comply with the cost cutting mandate of Federal Rule 1.

Another Must-Read Case: Omni Laboratories Inc. v. Eden Energy Ltd [2011] EWHC 2169 (TCC) (29 July 2011)

Leveraging eDiscovery Technologies for Search and Review

Case: Oracle America v. Google (N.D. Ca. Oct. 20, 2011)

The court ordered Google to produce an email that it previously withheld on attorney client privilege grounds.  While the email’s focus on business negotiations vitiated Google’s claim of privilege, that claim was also undermined by Google’s production of eight earlier drafts of the email.  The drafts were produced because they did not contain addressees or the heading “attorney client privilege,” which the sender later inserted into the final email draft.  Because those details were absent from the earlier drafts, Google’s “electronic scanning mechanisms did not catch those drafts before production.”

The Lesson for 2012: Organizations need to leverage next generation, robust technology to support the document production process in discovery.  Tools such as email analytical software, which can isolate drafts and offer to remove them from production, are needed to address complex production issues.  Other technological capabilities, such as Near Duplicate Identification, can also help identify draft materials and marry them up with finals that have been marked as privileged.  Last but not least, technology assisted review has the potential of enabling one lawyer to efficiently complete the work that previously took thousands of hours.  Finding the budget and doing the research to obtain the right tools for the enterprise should be a priority for organizations in 2012.

Another Must-Read Case: J-M Manufacturing v. McDermott, Will & Emery (CA Super. Jun. 2, 2011)

Conclusion

There were any number of other significant cases from 2011 that could have made this list.  We invite you to share your favorites in the comments section or contact us directly with your feedback.

For more on the cases discussed above, watch this video:

As 2011 comes quickly to a close we’ve attempted, as in years past, to do our best Carnac impersonation and divine the future of eDiscovery.  Some of these predictions may happen more quickly than others, but it’s our sense that all will come to pass in the near future – it’s just a matter of timing.

1. Technology Assisted Review (TAR) Gains Speed.  The area of Technology Assisted Review is very exciting since there are a host of emerging technologies that can help make the review process more efficient, ranging from email threading, concept search, clustering, predictive coding and the like.  There are two fundamental challenges however.  First, the technology doesn’t work in a vacuum, meaning that the workflows need to be properly designed and the users need to make accurate decisions because those judgment calls often are then magnified by the application.  Next, the defensibility of the given approach needs to be well vetted.  While it’s likely not necessary (or practical) to expect a judge to mandate the use of a specific technological approach, it is important for the applied technologies to be reasonable, transparent and auditable since the worst possible outcome would be to have a technology challenged and then find the producing party unable to adequately explain their methodology.
2. The Custodian-Based Collection Model Comes Under Stress. Ever since the days of Zubulake, litigants have focused on “key players” as a proxy for finding relevant information during the eDiscovery process.  Early on, this model worked particularly well in an email-centric environment.  But, as discovery from cloud sources, collaborative worksites (like SharePoint) and other unstructured data repositories continues to become increasingly mainstream, the custodian-oriented collection model will become rapidly outmoded because it will fail to take into account topically-oriented searches.  This trend will be further amplified by the bench’s increasing distrust of manual, custodian-based data collection practices and the presence of better automated search methods, which are particularly valuable for certain types of litigation (e.g., patent disputes, product liability cases).
3. The FRCP Amendment Debate Will Rage On – Unfortunately Without Much Near Term Progress. While it is clear that the eDiscovery preservation duty has become a more complex and risk laden process, it’s not clear that this “pain” is causally related to the FRCP.  In the notes from the Dallas mini-conference, a pending Sedona survey was quoted referencing the fact that preservation challenges were increasing dramatically.  Yet, there isn’t a consensus viewpoint regarding which changes, if any, would help improve the murky problem.  In the near term this means that organizations with significant preservation pains will need to better utilize the rules that are on the books and deploy enabling technologies where possible.
4. Data Hoarding Increasingly Goes Out of Fashion. The war cry of many IT professionals that “storage is cheap” is starting to fall on deaf ears.  Organizations are realizing that the cost of storing information is just the tip of the iceberg when it comes to the litigation risk of having terabytes (and conceivably petabytes) of unstructured, uncategorized and unmanaged electronically stored information (ESI).  This tsunami of information will increasingly become an information liability for organizations that have never deleted a byte of information.  In 2012, more corporations will see the need to clean out their digital houses and will realize that such cleansing (where permitted) is a best practice moving forward.  This applies with equal force to the US government, which has recently mandated such an effort at President Obama’s behest.
5. Information Governance Becomes a Viable Reality.  For several years there’s been an effort to combine the reactive (far right) side of the EDRM with the logically connected proactive (far left) side of the EDRM.  But now, a number of surveys have linked good information governance hygiene with better response times to eDiscovery requests and governmental inquires, as well as a corresponding lower chance of being sanctioned and the ability to turn over less responsive information.  In 2012, enterprises will realize that the litigation use case is just one way to leverage archival and eDiscovery tools, further accelerating adoption.
6. Backup Tapes Will Be Increasingly Seen as a Liability.  Using backup tapes for disaster recovery/business continuity purposes remains a viable business strategy, although backing up to tape will become less prevalent as cloud backup increases.  However, if tapes are kept around longer than necessary (days versus months) then they become a ticking time bomb when a litigation or inquiry event crops up.
7. International eDiscovery/eDisclosure Processes Will Continue to Mature. It’s easy to think of the US as dominating the eDiscovery landscape. While this is gospel for us here in the States, international markets are developing quickly and in many ways are ahead of the US, particularly with regulatory compliance-driven use cases, like the UK Bribery Act 2010.  This fact, coupled with the menagerie of international privacy laws, means we’ll be less Balkanized in our eDiscovery efforts moving forward since we do really need to be thinking and practicing globally.
8. Email Becomes “So 2009” As Social Media Gains Traction. While email has been the eDiscovery darling for the past decade, it’s getting a little long in the tooth.  In the next year, new types of ESI (social media, structured data, loose files, cloud context, mobile device messages, etc.) will cause headaches for a number of enterprises that have been overly email-centric.  Already in 2011, organizations are finding that other sources of ESI like documents/files and structured data are rivaling email in importance for eDiscovery requests, and this trend shows no signs of abating, particularly for regulated industries. This heterogeneous mix of ESI will certainly result in challenges for many companies, with some unlucky ones getting sanctioned because they ignored these emerging data types.
9. Cost Shifting Will Become More Prevalent – Impacting the “American Rule.” For ages, the American Rule held that producing parties had to pay for their production costs, with a few narrow exceptions.  Next year we’ll see even more courts award winning parties their eDiscovery costs under 28 U.S.C. §1920(4) and Rule 54(d)(1) FRCP. Courts are now beginning to consider the services of an eDiscovery vendor as “the 21st Century equivalent of making copies.”
10. Risk Assessment Becomes a Critical Component of eDiscovery. Managing risk is a foundational underpinning for litigators generally, but its role in eDiscovery has been a bit obscure.  Now, with the tremendous statistical insights that are made possible by enabling software technologies, it will become increasingly important for counsel to manage risk by deciding what types of error/precision rates are possible.  This risk analysis is particularly critical for conducting any variety of technology assisted review process since precision, recall and f-measure statistics all require a delicate balance of risk and reward.

In their latest survey, entitled “E-Discovery Market Trends: A View from the Legal Department,” Enterprise Strategy Group (ESG) analysts Brian Babineau and Katey Wood analyze a number of interesting statistics and provide a range of insightful conclusions.  By surveying general counsel from large, mid-market (500-999 employees) and enterprise-class organizations in North America they were able to dive into a range of eDiscovery topics, including pain points, operational expenses and prioritizations on a go-forward basis.  Some are more intuitive than others, but in either case the results serve as good calibration metrics for those who endeavor to understand the corporate eDiscovery state of the nation.

“Most corporations are not tracking e-discovery spending…” In what may be the most notable finding of this ESG report, 60% of survey respondents claim that they did not track annual eDiscovery spending in 2010.  The authors correctly note that the eDiscovery process, “which can be highly unpredictable due to its project-by-project nature to begin with, has historically been outsourced to service providers charging at variable rates and often billed back to companies via their law firms.”  Despite the significant challenges of tracking eDiscovery spending, it’s nevertheless irresponsible for organizations to keep their heads in the sand regarding such a significant operational expense.

As the old saw goes, “you can’t manage what you can’t measure,” so it’s almost inconceivable to think that so many organizations aren’t tracking such a significant expense category.  For organizations who want to create a repeatable business process, as opposed to the fire-drill chaos that is typically associated with eDiscovery, it’s vitally important to accurately capture core eDiscovery metrics.  For starters, it’s useful to understand basic collection parameters, such as of the typical numbers of key custodians, average data volumes per custodian, data expansion rates, de-duplication statistics, etc.  Once these metrics are in place, it then becomes possible to manage the process and reduce costs.

Katey went on to expound in an exclusive quote for EDD 2.0:

“E-discovery can be managed as a strategic business process with an understanding of costs, performance and outcomes. When there’s no basis for reporting or comparison, it’s pin the tail on the donkey.  Corporate litigants won’t ever know they’re getting their money’s worth if they don’t even know what they’re spending.”

“E-Discovery accuracy/efficiency isn’t being measured, in large part.” Similar to the failure to measure eDiscovery costs, a full two thirds of GCs (67%) aren’t tracking the “efficiency and/or accuracy of e-discovery document review.” Until corporate counsel can link expectations of competency/efficiency with oversight and performance metrics, outside law firms will likely avoid having their feet held to the fire.  This passive stance makes transparency and process improvement difficult at best.  Additionally, this model of having expectations for efficiency, with low or no accountability, doesn’t bode well for the quick adoption of enabling technologies like predictive coding, since the driver has to inherently be the need/desire for increased efficiency (which axiomatically equals lower law firm review bills).

“Corporate information governance and litigation readiness (especially defensible deletion) are a priority, but not yet a reality.” From an internal prioritization perspective, more than two thirds (69%) of respondents identified their desire to expire/delete data more consistently, “thereby limiting unnecessary data retention for future litigation requests.”  Savvy enterprises correctly recognized the “multi-prong threat of unregulated data retention: the large amounts of irrelevant data ultimately produced for legal review, the greater difficulty of hanging onto potentially litigious documents past their required retention periods.”

This finding is very encouraging, and it ties into the upward momentum the industry is seeing regarding information governance generally – particularly linking the reactive (right) side of the EDRM with the logically connected and proactive (left) side of the EDRM.  As a good first step it’s critical to see organizations now associating good information governance hygiene with lower costs and better eDiscovery response times.  The ESG finding also triangulates with results from the recent Information Retention and eDiscovery Survey, which found that companies having good information governance hygiene were often able to respond much faster and more successfully to an eDiscovery/investigation requests, often suffering fewer negative consequences.

The only downside to the positive information governance trend, as reported by the survey, was that,

“while there are great benefits to defensible deletion, internal initiatives for implementing it too often are stymied by difficulty in obtaining cross functional consensus and authorization, particularly as it touches so many other critical processes like regulatory compliance and legal hold.”

“Legal hold processes are still very manual.” Another similar question revealed that many companies are attempting to get their information governance house in order, but are still in the very early stages.  When asked about their  current legal hold notification and tracking process, a whopping 69% of organizations said that they are using a “manual process performed by internal staff using e-mail and spreadsheets, etc.”  And, another 6% said they either had no formal process or tracking mechanism.

Given the risks attendant to flaws in the preservation process this area is ripe for improvement.  The good news is that 54% of survey respondents are intending to improve their legal hold process, with 25% planning improvement within the next 12 months.  This is a healthy acknowledgement that there is risk, and with a modicum of investment (time, personnel, procedures, and technology) the legal hold area can be brought up to current best practices.

The ESG survey is a welcome temperature gauge into the state of corporate legal departments.  It notes, in conclusion, “with the staggering growth, diversity and dispersion of data, the pain e-discovery is currently causing large and serial litigants are only a symptom of the larger problem of unwieldy and under-developed information management affecting all businesses.”  With data insights from the ESG survey, it’s becoming clear that foundational information governance elements (like deploying auditable legal hold procedures, tracking eDiscovery spending, updating data maps, etc.) are desperately needed by the many organizations that want to turn eDiscovery into a repeatable business process.  The good news is that many of these organization have improvements in mind for the next 12 months, and the challenge will be to make sure these proactive projects maintain the same level of organizational urgency that it often present for more reactive tasks.

The legal battles during the discovery phase of the Oracle v. Google Java licensing and patent infringement complaint are now well documented. Just search for “Lindholm email” and you’ll find pages and pages of opinions and blog posts on the case. Why so much fuss over a piece of email? Well, as Judge Alsup aptly describes, this is the type of smoking gun email that has the potential to “turn the case on its head.”  More importantly, this inadvertent email never needed to happen, if the parties had better leveraged existing eDiscovery technologies.

The eDiscovery battle over admissibility of this email, as well as whether it can be a public record, is natural and to be expected, especially in such a high profile dispute. Google has already made five attempts to either claw back these documents or protect them under seal. Besides the question of whether privilege waiver is in fact granted simply by adding an “Attorney Work Product” annotation to email, which Judge Alsup has eloquently addressed in the filing here, there is another interesting question to be considered. In addition to the two email copies that had the above designation, there were nine other sequential drafts, created within a five minute period. These drafts were generated by the “auto save” capability of the email software, possibly as a way to prevent the author of the email from losing partial work. Don’t we all love that feature, since despite all the technological advances computers crash, networks fail, and software freezes, and in those times we’re thankful that our work was indeed automatically saved? However, if these are indeed present, are these drafts discoverable, especially if they have not been shared with anyone?

Although in this instance the intent of these drafts is made evident by the final email, which included the recipients, none of the nine drafts of the email have a TO:, CC: or BCC: address field filled in. So technically, the drafts in their “pre-final” form were never communicated to anyone else. If so, should they even be considered electronically stored information (ESI) that needs to be produced? Let’s say that these emails were never sent and merely existed as drafts, perhaps capturing a person’s train of thought. Are they discoverable?

Of course, determining whether such partial and non-evidentiary ESI exists among your millions and millions of documents to be examined for production becomes increasingly the purview of powerful search and analysis software. In this instance, Google and their legal team would have been well-served by email analytical software that can isolate drafts and offer them for removal from production. Also, using a capability such as Near Duplicate Identification would have identified these drafts as similar to the final ones that were marked as privileged. After all, if the legal team had known of their existence prior to production, they would not have been surprised by the opposing team producing them as key documents.

I invite your comments, especially on the notion that partially completed drafts are admissible as evidence.

The data explosion that has burdened organizations across the globe for the past decade has become increasingly expensive to manage.  Many experts point to storage as the most obvious culprit for higher information governance costs.  There are, however, other factors driving those costs.  For example, demands for electronically stored information in legal and regulatory proceedings have significantly increased expenses surrounding data management.  Those demands have forced organizations to meet the high expectations that courts and regulatory bodies have for how they address their information or face the consequences.

Those consequences include sanctions and regulatory fines for groups that fail to account for how they store, manage and discover their information.  The $919 million verdict rendered in the E.I. du Pont de Nemours v. Kolon Industries case is paradigmatic of this trend.  That verdict was inextricably intertwined with the court’s instruction to the jury that executives and employees for defendant Kolon Industries deleted key evidence after the company’s preservation duty was triggered.

Going to Cloud Services for Data Archiving and eDiscovery

These rising data costs – and the risks they pose – are driving organizations to explore new technologies and methods for managing their data.  The latest alternative to traditional on-premise solutions involves leveraging cloud-based services.

The hype surrounding the cloud has generally focused on the opportunity for cheap and unlimited storage.  While cost effective data storage is important, that factor alone should not be determinative for selecting a cloud service provider.  Organizations must have the actual – not theoretical – ability to retrieve their data and do so in real time.  Otherwise, they may not be able to satisfy legal or regulatory requests, let alone the day-to-day demands of their operations.

In an analogous context, courts have traditionally compelled paper document productions even though the requested materials may be buried in a messy warehouse.  In one such case from this year, a U.S. district court in New York ordered a company to turn over decades-old records that were commingled with other materials in poorly labeled, shrink-wrapped boxes.  The court reasoned that disorganized record-keeping should not excuse an organization from producing relevant information.  See Brooks v. Macy’s (S.D.N.Y. May 6, 2011).

The rationale from the Brooks case is equally applicable to cloud-based services.  Cloud-based data must be intelligently organized so that companies can retrieve data in a timely fashion for business and legal purposes.  Otherwise, the savings achieved through cheap storage will be negated by the resulting legal quagmire.

Paring Back Superfluous and Duplicative Information

To facilitate the data retrieval process, the right cloud service provider should have the capacity to implement and observe applicable company retention policies.  An effective retention policy will generally help a company retain information that must be kept for business, legal or regulatory purposes – and nothing else.  The service provider should enable automated retention rules to ensure that information is kept only for a designated time period.  This will allow data to be expired once it reaches the end of that period.  And by expiring that data, the company will limit the amount of potentially relevant information available for follow-on litigation.

The pool of information can also be decreased through single instance storage.  This deduplication technology eliminates redundant data by preserving only a master copy of each document placed into the cloud.  This will reduce the amount of data that needs to be identified, collected and reviewed as part of the electronic discovery process.  For while unlimited data storage may seem ideal now, reviewing unlimited amounts of data will quickly become a logistical and costly nightmare.

Tools to Facilitate Discovery

A cloud service provider should ideally have eDiscovery functionality.  At a minimum, the service provider should be able to deploy legal holds to prevent users or automated policies from overwriting and destroying data.  Advanced search capabilities should also be included within the cloud-based service to reduce the amount of data that must be analyzed and then reviewed.  Moreover, the provider should support compatible load formats for export to third party review software.

Another key discovery issue is whether the cloud service provider can establish a clear audit trail for transmissions of company data.  Since information could be modified in transit by the routine operation of a service provider’s computer systems, an audit trail is necessary to prove that company documents and their metadata were not affected or otherwise compromised during transmission.  Without this assurance, a company may not be able to demonstrate the authenticity of its data before a tribunal or comply with key regulations.

A cloud server provider that can quickly retrieve and efficiently discover data has the potential to help organizations address their legal and regulatory demands in a cost effective manner.  Such a provider may be just the solution for organizations that are looking to properly address their runaway information governance costs.

Earlier today, Clearwell announced Version 5.0 of its e-discovery platform. Unlike prior versions which focused on processing, early case analysis, and first-pass review, this release extends Clearwell’s capabilities in two directions: upstream, by adding pre-processing; and downstream, by adding document-by-document review and production. I wanted to say a few words about what motivated these changes, and why the new release greatly increases Clearwell’s value to enterprises, government agencies, law firms, and litigation support service providers.

Over the past year, the benefits of early case analysis and first pass review have driven hundreds of companies to adopt Clearwell. They have saved huge amounts of money and time, and often become evangelists for the product. But despite that, we continually hear that the overall e-discovery process remains expensive, unpredictable, and risky. When we investigated why, we found the problem lies less in the features of the products being used than in the number of products used.

Once data is collected, a typical e-discovery process today may involve as many 4 different tools: one for filtering by custodians or date range, another for de-duplication and keyword search, another for load file creation, and yet another for review and production. Each time data moves between these tools, and there’s a handoff from one to another, there’s the risk that document counts do not tie out, data does not convert correctly, or any of a hundred other things go wrong. This risk is magnified by the fact that e-discovery is highly iterative: custodians are often added or keywords changed as new information comes to light, forcing people to redo many steps of the process. As a result, timelines are unpredictable and it’s hard to stick to a budget, even with extensive project management which itself is not cheap.

Since the problem lies in the handoffs between different products, it’s impossible to solve this problem by making any one part of the process better. The only solution is to have a single product that can manage collected data from soup (filtering / pre-processing) to nuts (production). Prior to today’s announcement, that product did not exist: there was no single, integrated product that could do everything from process data to review and produce it. And that, in summary, is why Clearwell is releasing Version 5.0.

With Clearwell’s new product, there are no handoffs, no uncertainty about how long it will take to export out of one tool and into another. There’s no need to cobble together a string of different products or train lawyers on multiple different interfaces and workflows. As a result, the risks of cost overruns or missed deadlines are greatly reduced.

To our mind, this is just part of a natural evolutionary process that affects many markets, not just e-discovery. Who wants to carry a Palm Pilot, iPod, and a mobile phone when you can carry a single device like the iPhone? Who wants a cable receiver and a TiVo when you can get both in a single set-top box?  As markets mature, there develops a logical package of functionality that customers prefer to buy from a single, integrated provider.

You can sign up for a product demonstration at our website, or come see the product at ILTA next week (Booth 606). Take a look – and let us know what you think.

Maybe this will show my age, but I’ve been around the electronic discovery business since the days when pricing was both simple and very expensive. Terabytes were at the mythical high-end of the spectrum and gigabytes of “e-docs” (not “ESI”) cost $3,000 – $4,000 to process. Understandably (and fortunately for most), pricing models have evolved, thanks in part to more educated consumers and initiatives such as Sedona’s RFP + Vendor Panel.

Leaving the WABAC machine and moving into present times, we’ve starting to see some variance from traditional pricing models that primarily focus on data “into” the processing machine. More and more companies (such as Kroll Ontrack) are moving to models that price on data “out” of the process. Since that’s a bit nebulous, an example might illustrate:

Traditionally, in a somewhat simplified fashion, an electronic discovery project would be priced by the amount of data in the initial corpus (say 100 gigabytes) and processing would be priced at $500 a gigabyte (for round numbers purposes). Leaving out the sometimes significant caveat that the 100 gigabytes would likely increase due to expansion of compressed files, this would mean that the bulk of the project expenses would be $50,000 ($500 x 100), plus relatively nominal costs for monthly hosting and user access rights.

At the end of the day, after elimination of system files, deduplication and application of search terms (reducing the initial corpus by say 70% collectively) there would be 30 gigabytes remaining for hosting and possible production, both of which are most often priced separately.

Given rampant commoditization there’s an arms race underway among certain service providers where they’re now changing the above model to give away initial processing as a loss leader – pricing only on the data that comes out the end of the processing/search step. In this approach the above workflow would largely stay the same, but the vendor would charge a higher rate for what ultimately is hosted on the back-end. If this back-end fee was $2,000 per resulting gigabyte and the same 30 gigabytes was seen out the back end, then the customer would pay $60,000 for the project. But, if the deduplication, searching, culling, etc. was more effective (at say 80%) then the resulting 20 gigabytes would only cost $40,000.

The question then, as Clint Eastwood would put it, is: “Do you feel lucky?” This pricing model forces attorneys and litigation support managers to guesstimate what culling, search, and de-duplication rates they’ll likely get on the data corpus. Guess right and they save the end client money, guess wrong and they’re way over budget.

The dynamics of this purchasing decision are a bit atypical because the buyer (usually counsel) doesn’t pay the bills, so the decision can often be more vexing than most. When a direct consumer gambles on pricing things will ideally balance out over time, with money being saved in some instances and some being overspent in others. But, when the buyer doesn’t pay the bills the motivation is less clear.

Thoughts run to Maslow’s hierarchy of needs to determine which pricing model is ultimately more compelling: (a) price certainty/adherence to budget, or (b) cost variability and the opportunity to save money. While it’s never good to understate the upside of saving money (Esteem), I think ultimately there’s a more fundamental need (Safety) to stay within budget and avoid the painful (sometimes client imperiling) call to discuss how a given e-discovery project has gone way over budget.

This calculation is made further vexing because it not only pits the purchasing party against unknown data culling/searching rates, but it also puts the vendor in an ethical bind where they make less money if they’re supremely effective at data reduction, whereas if they’re either intentionally or accidentally beneficiaries of relatively little data reduction then they stand to make a ton of upside.

It’s like you went to Vegas to gamble your kid’s college fund and on top of the already questionable house odds you knew that the dealer stood to profit by your losses. So, as for myself, no, I don’t feel lucky.