The Relativity Blog

Your single source for new lessons on e-discovery and the technology that powers it.

[Quiz] Part II: The Search Technique You Should be Using (But Probably Aren't)

February 05, 2016 | Aileen Tien | Review & Productions, e-Discovery

blog_search-techniques-you-should-be-using.pngBack in December, we explained how Regular Expressions (RegEx) works and some basic ways it can be used in dtSearch and structured analytics. To jog your memory, RegEx is a form of advanced searching that looks for specific patterns instead of certain terms and phrases. It has the ability to hit results that no other type of searching can, offering e-discovery practitioners big improvements to their typical workflows.

We’ve heard a few stories from the field lately of customers who have successfully employed RegEx. I recently got into a passionate discussion with iDS Senior Manager Louis Martin. Here’s what he had to say:

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5 Superlatives from Day 1 at #LTNY16

February 03, 2016 | Steve Tanner | Seen in the Field, e-Discovery

blog_LTNY16-sessions.pngLegaltech New York—or as I like to refer to it, #LTNY16—is well underway, and we have 60 kCurians on the ground attending (if not hosting) sessions, chatting with the rest of the e-discovery community, and capturing all the big moments.

Whether you’re in New York living it up in real time or enjoying a somewhat quieter week at the office, perhaps you can appreciate these highlights from Day 1 as shared on social media.

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4 Must-have Skills to Be Successful in e-Discovery Litigation Support

February 02, 2016 | Morgan Garcia-Lamarca - Consilio | Certifications, e-Discovery

blog_4-must-have-skills.pnge-Discovery has always appealed to me because it’s a very neutral practice of law—the data is the data, and you try to identify what needs to be produced or reviewed in the most efficient manner. However, building a successful career in e-discovery (or in any industry, for that matter) isn’t quite as clear cut.

Succeeding in litigation support takes skills that aren’t always easy to define—they depend on the projects you’re working on, the people you’re working with, and the tools your organization uses.

However, throughout the past decade working in the industry—as everything from a contract review attorney to my current role as technical analytics manager—I’ve found there are some skills you just can’t get by without.

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A Sneak Peek at LTNY 2016 with David Horrigan and Dean Gonsowski

January 29, 2016 | Jacque Flaherty | Q&A, e-Discovery

blog_LTNY16-postEvery year, kCura’s offices close between Christmas and New Year’s Day for a holiday break. And every year, we return from our week-long hiatus with one thing on our minds: Legaltech New York.

The conference is one of the biggest in the industry, and our team spends January getting ready to catch up with as many of our customers, partners, and industry friends as possible—from hosting hands-on labs in the Community Pavilion to treating attendees to a night (or two) on the town.

This year, Dean Gonsowski, our VP of business development, and David Horrigan, our legal content director, are attending LTNY as part of the kCura team for the very first time. We recently sat down with them to chat about their expectations for the conference, as well as what they each have planned for next week.

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Throwback: Speaking the Same Language as Your Team’s Analytics Guru

January 28, 2016 | Andrea Beckman | Analytics, e-Discovery

blog_speak-same-as-analytics-guru2This post originally appeared on the Relativity blog on August 21, 2015. With e-discovery gurus of all sorts gearing up to convene at Legaltech New York next week, we thought we’d revisit how cross-team collaboration pays off.

If you're in NYC next week and want to learn more about speaking the analytics language, sign up for our free session: "Can You Afford to Overlook Email Threading and Near-duplicate Identification?"  

It’s 8:00 a.m. on a Monday and you just want your morning coffee, but you find yourself face-to-face with Anna, the e-discovery text analytics guru in your office. She wants to chat with you about the review project your case team got up and running late last week, and the strategy she’ll use in applying text analytics to it.

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Email Threading 101: An Introduction to an Essential e-Discovery Tool

January 26, 2016 | Jacob Cross | Analytics, e-Discovery

blog_email-threading-101According to the Radicati Group, the average businessperson sends 36 emails per day. It may not sound like much, but if you do the math, it means a single employee creates nearly 10,000 emails per year (more if they work weekends).

With these numbers, it’s no wonder email is the dominant data form in e-discovery. Even in cases involving only a few custodians, you’re looking at a data set filled with thousands of emails, one for every time your custodian hits send.

Yet somehow, email threading still isn’t used in every case—which is shocking to us, given its two huge benefits. First, it prevents your team from reviewing information multiple times; second, and even more importantly, it reduces the likelihood of coding mistakes.

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How to Kick Privileged Information Out of Your Production Set

January 22, 2016 | Kaushal Jha - LexInnova | Review & Productions, e-Discovery

blog_kick-privileged-info-out-of-process-setThere has been much discussion around the prevention of inadvertent disclosure of privilege in litigation, but mistakes are still made. Take, for example, the case of Pilot v. Focused Retail Property I, LLC, No. 09-6879, 2011 WL 1238920 (N.D. Ill. Mar. 30, 2011).

In this case, counsel identified privileged documents; however, he overlooked the fact that his file also contained a duplicate set of these documents, with the privileged and unprivileged documents intermixed. Counsel’s assistant copied the set of privileged documents and produced it to the other party.

The magistrate judge held that the plaintiffs’ failure to adequately screen documents for production and to object to the use of privileged documents in a timely manner waived attorney-client privilege.

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Video: Man vs. Discovery

January 21, 2016 | Nick Robertson | e-Discovery

blog_what-end-to-end-edisc-looks-like.pngOver the past few releases of Relativity, we’ve continued to improve our overall speed-to-review—that is, how quickly you can go from raw uncollected data to normalized searchable documents. We’ve made improvements to our end-to-end speed and workflow in the Relativity 9 series by adding capabilities and new data sources to our targeted collection functionality, making Relativity Processing faster and more resilient, and building out our NoSQL data store, Data Grid.

When we announced Relativity 9.3 to a crowd of more than 1,500 at Relativity Fest last fall, we wanted to show how all of these capabilities come together to provide a complete solution—giving you the ability to automatically target and upload custodian data and process it directly to Data Grid, where it’s searchable within minutes.

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6 Tips for Building a Processing Powerhouse

January 19, 2016 | Tracy Nguyen and Clara Skorstad – Kilpatrick Townsend & Stockton | Processing, Seen in the Field

blog_building-powerhouse-processing.pngOur firm processes hundreds of thousands of files on a daily basis, and over the years, we’ve learned what it takes to manage such large amounts of data. Like in most facets of life, success in processing comes from a combination of planning and organization.

At first glance, processing data can seem like a complex undertaking, manageable only by a subset of niche technologists. Every processing tool out there does things a little bit differently and has its own idiosyncrasies, and the practice itself even seems to have its own language—dedupe? deNIST? OCR?—making it even more cryptic to beginners.

However, with the right preparation, your team can become a processing powerhouse. Here are six best practices we’ve discovered over the years to be truly successful with processing.

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Demystifying De-NISTing

January 15, 2016 | Matthew Verga - Modus | Processing, e-Discovery

Modus_Logo

The following post was first published by Modus, a Relativity Premium Hosting Partner. It provides a great overview of an important step in processing that we thought was worth sharing.

Most e-discovery practitioners have some awareness of de-NISTing as a common step that happens sometime during the processing phase of their projects. Many are aware that it is a step that has to do with removing system files from collected data. Few, however, are familiar with precisely what it is and is not, with why it has become standard practice, and with what else vendors commonly do to supplement it.

De-NISTing is a process for the removal of known, standard system files from collected data. “System files” here refers to the executables, device drivers, initialization files, and other operative components that make an operating system (e.g., Windows) or a software suite (e.g., Microsoft Office) run on your computer. “Known” and “standard” here refer to the fact that the process removes only previously identified system files that have been unaltered from their “factory-original” forms. It doesn’t remove all files of any particular type; it just removes a list of specific files.

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About the Authors

From the engineers that build it to the specialists that support it, the Relativity blog features content written by kCura’s experts in the software. You’ll see contributions from our workflow advice team, product managers, infrastructure engineers, and more—giving you guidance on how to be most effective in the platform.