e-discovery 2.0

Yesterday, George Socha and Tom Gelbmann published summary results for their 2008 EDD survey. George and Tom gathered self-reported data from 85 e-discovery service providers and 40 e-discovery software companies. To help vendors resist the temptation to “exaggerate” their accomplishments, they then cross-referenced the responses against independent surveys submitted by 29 law firms and 19 corporations, and applied a healthy dose of their own good judgment. The outcome, which they will publish in-full next month, is a great snapshot of the industry, and probably the most objective ranking of e-discovery vendors that you can find.

By comparing this year’s results to the 2007 survey, you get a sense for how much has changed in the e-discovery world over the past 12 months:

Top E-Discovery Software Companies

Note: arrows show change to rankings from last year’s Socha-Gelbmann Survey

Autonomy and Clearwell move up to the Top 5, overtaking Attenex and CT Summation which slip back to the second tier. There are also 3 new names ranked 6 through 10 (Epiq, iConect and Symantec) who displace Cataphora, Doculex, ISYS, and Oracle, none of whom even make it into the top 15. In other words, 70% of the rankings have changed since last year.

If a litigation support manager were to focus only on the Top 5 in making her e-discovery software decision, she would have a choice of some very different solutions. Autonomy positions itself as a high-end (expensive) platform for corporations, while Lexis offers a comprehensive toolset for law firms. Guidance and Clearwell are complementary in that both provide best-of-breed solutions for parts of the EDRM model: Guidance is the leader in collection and preservation, while Clearwell is the leader in processing, analysis and review. Finally, FTI takes a services-based approach which centers around RingTail, its hosted review application.

Looking lower down the list, there were some other interesting results, primarily around which companies were NOT ranked. Kazeon made it into the third tier (ranked 11-15) whereas StoredIQ, its main competitor, did not. Nor did Recommind break into the rankings, despite making a major push into e-discovery from knowledge management over the past year. But the most striking absentees are PSS Systems and Exterro, which have pioneered litigation hold management for Fortune 100 companies. I can only guess that they cover too much of niche market to warrant inclusion in an industry-wide report.

Top E-Discovery Service Providers

In contrast to the world of software, e-discovery services saw much less movement in this year’s rankings:

Note: arrows show change to rankings from last year’s Socha-Gelbmann Survey

There was only one change to the top 5: Fios moved up, displacing Guidance which plummeted 10-20 places down to a 16-25 ranking. In addition, there were two new players in the top 10, Epiq and Huron, who edged out Electronic Evidence Discovery and Ernst & Young.

Conclusion

Changes to the software rankings reflect broader changes in the e-discovery market. As e-discovery has moved in-house, corporations have become a major driver of purchase decisions that were previously left to law firms. Many software companies, such as Attenex, have struggled to make this transition, while others, such as Clearwell, have capitalized on it. There has been no such change in the service provider world and, as a result, the rankings are relatively stable.

It will be interesting to see what happens next year. Every other software space is dominated by a small number of players, like Oracle for databases or VMWare for virtualization. If the same is true for e-discovery, then we can expect many fewer changes to the software rankings in future surveys as the leaders pull away from the pack.

Most science fiction visions of the distant future seem to contain a rather singular fear: that the human race will be taken over by computers.  Think “Terminator” series, preferably without the naked Arnold Schwarzenegger visual.  Regardless of whether this vision fills you with trepidation or excitement there is a very real possibility that we’re on the cusp of computers taking over a significant e-discovery task for attorneys.

For past several decades, attorneys have had to manually review information for relevancy and privilege in response to the e-discovery process.  Quoting from Information Inflation: Can the Legal System Adapt? by George Paul and Jason Baron, this task has always been viewed as sacrosanct “because of ‘death penalty’ waiver doctrine that evolved long ago when information was still manageable.”

Like so many industries, the legal profession has attempted to grapple with the transformation that the digital revolution has brought to the forefront.  The latest revisions to the Federal Rule of Civil Procedure (FRCP) is the most obvious case in point.  And yet, electronically stored information (ESI) is proving difficult to fit into traditional, even remodeled, paradigms.  Even ignoring (for the moment) the proliferation of novel data types (i.e., blog content, voice over IP or VOIP, webmail, text messaging, web services, etc.) the amount of data that attorneys are being required to review has reached a tipping point of review feasibility.

Back in the day, information was viewed in terms banker boxes of information, and even in the most document intensive discovery matters this measuring stick belied the belief that armies of attorneys could conceivably conquer the massive document review problem.  But now, we often see clients that process routine matters containing terabytes of information.  Most of us in the e-discovery space have become numbed to the abstract nomenclature of megabytes, gigabytes, terabytesⁱ, petabytesⁱⁱ, and in the process we may have failed to realize that we have moved well beyond the scale of information that can be reasonably attacked with even the largest armada of contract attorneys (assuming that the client could conceivably bear the astronomical costs).

“At the petabyte scale, information is not a matter of simple three- and four-dimensional taxonomy and order but of dimensionally agnostic statistics. It calls for an entirely different approach, one that requires us to lose the tether of data as something that can be visualized in its totality. It forces us to view data mathematically first and establish a context for it later.”ⁱⁱⁱ

I’m certainly not the first to point out that this tipping point is coming, but now we are really starting to see early adopters respond to this sea change. In their linked article above, George Paul and Jason Baron state “It is no exaggeration to say that litigation, as we have known it, is threatened by information’s new hyper-flow. The amount of electronically stored information relevant to a case is already a stress point in litigation.  […]  Litigators can no longer depend on manual review alone….”

Up until now, attorneys and the clients that are footing the bill have had to make a Hobson’s choice:  either “force parties to continue hugely expensive privilege reviews, or to forego the attorney-client privilege or work-product privilege altogether.”   But, now it appears that another way is evolving.

The following lays out a scenario where a non-manual review methodology may make sense.  ***Please note: this approach is not without risk.  At this moment in time neither clawback provisions, the potential adoption of Evidence Rule 502 nor any other know prophylactic measure can completely insulate a producing party from the unforeseen consequences of an inadvertent disclosure.  But, as they say, desperate times call for desperate measures….

Step one: Evaluate the Environment

The following factors represent some of the elements that should be taken into consideration prior to skipping the normal, human based review steps that are seen in most e-discovery matters.

1. Large data set.  This may sound a bit obvious, but a non-manual approach is best suited for large, unwieldy data sets.  The corpus doesn’t need to be in the terabytes, but the data set should be evaluated in term of discovery processing costs and attorney review estimates.
2. Short Production Timelines.  Once the above calculations are conducted, the next step is to determine if a human based review could even conceivably be conducted in the given time frame.  In many instances, an eyes-on review process just won’t be feasible since there won’t be enough bodies to throw at the problem.
3. Next Gen “PAR” Tools.  In order to pull this “review-less” review process off, both safely and quickly, the responding party needs to have access to fast, robust processing, analysis and review (“PAR”) tools.  Certainly, it’s possible to have this scenario work with an e-discovery service provider, if they have the capability.
4. Relatively Small Amount in Controversy.  For the time being, this approach should not be considered for any “bet the company” litigation, nor anything with significant downside risk (governmental inquiries, punitive damages, class actions, 2nd requests, etc.).  Yet, for many standard commercial lawsuits, corporate investigations, HR claims, etc. this review-less approach may be worth considering.
5. Ability to Use a Clawback Provision.  Entering into a clawback provision with the opposition is mandatory in this methodology since the chances of an inadvertent production are statistically ever-present.  Yet, until Evidence Rule 502 is resolved, there will always be a risk that the clawback won’t be enforceable against 3rd parties.
6. Non-governmental Production.  Most information in governmental productions becomes part of the public record, meaning that a clawback isn’t going to be feasible.  Here, trade secret information, personally identifiably data and the like would be disastrous if pushed out into the public domain.

Step two: Perform a Risk/Benefit Analysis

Next, take all the above factors into consideration and determine if the risks (of inadvertent production, the clawback being ineffective, etc.) are worth the benefits (reduced costs, lower attorney review fees, ability to meet deadlines, etc.).

Sure this is hard work, but the alternative (manual review) is more ephemeral than realistic.

[In my next post, I’ll address the tactical steps to conduct a review-less review process.  Stay tuned……]

ⁱ One terabyte is generally estimated to contain 75 million pages and could conceivably cost $18,750,000 to review.  Anne Kershaw, Automated Document Review Proves Its Reliability, 5 DIGITAL DISCOVERY & E-EVIDENCE 11 (2005).

ⁱⁱ According to Wired, we’re now in the “Petabyte Age” where that amount of data is processed by Google’s servers every 72 minutes.

ⁱⁱⁱ Wired article, above.