Big Data. Big Decisions
InformationWeek
Special Coverage Series


Social Media Can Hurt You In A Lawsuit

Social media postings could soon join email as a common part of the legal discovery process. Here's what SMBs need to know to protect themselves.

10 Cool Social Media Monitoring Tools
Slideshow: 10 Cool Social Media Monitoring Tools
(click image for larger view and for slideshow)
Social media has already become The Next Big Thing. Could it soon be the next big thing in business lawsuits?

The short answer: Yes, according to Jamie Brigman, director of product management and technical strategy at Applied Discovery. Brigman's employer, a LexisNexis subsidiary, does electronic discovery work for legal cases. Though not common today, Brigman said the information that companies and their employees share on social sites is poised become a significant piece of the discovery process during civil litigation over business-related disputes.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

"[Lawyers] are always concerned about risk," Brigman said in an interview. "They're looking for what kind of information is discoverable in the future."

The potential legal risks of social media increase each time a site adds features intended to better collect--and share--information, business or personal. Take Facebook's recent platform overhaul, which included the introduction of the Timeline feature.

[ Plan ahead to reduce security threats. Read How SMBs Can Minimize Denial-of-Service Risks ]

"Their goal is to be able to tell a story," Brigman said. "It parallels, in litigation, what lawyers are trying to do: Tell a story about the person or the issue that they're investigating."

If you're like me, legalese is a foreign language, so first a definition: Discovery is the part of the litigation process in which each side has the right to access and review each other's information--including sensitive, private data--if it's deemed relevant to the dispute. Brigman said social media is not a common part of the discovery process today outside of divorce and personal injury cases. That doesn't mean it won't become one in corporate lawsuits. Brigman pointed to the legal industry's relatively slow move to view email in the same way as it treats paper-based documents. While email began changing business communications in the 1990s, Brigman said the medium didn't become a standard part of legal discovery until around 2004 or 2005. But just because lawyers weren't quick to recognize the prevalence of email didn't mean businesses--or more to the point, their employees--could click "send" without consequences.

"Electronic information is persistent," Brigman said, adding that once email became an everyday part of discovery, it was retroactive--what happened on email did not stay there. "All of that information was still around. With Facebook, it's even worse."

Brigman expects a shorter lag time for the legal industry with social media because of an ever-increasing cultural comfort with technology--it wasn't so long ago that email had a certain magic, and now it produces yawns. When the legal liability of social media data grows, the challenge for small and midsize businesses (SMBs) should sound familiar: Limited resources. Whereas a large company typically has teams of people devoted to legal, HR, brand management, public relations, and other areas charged with keeping the company in good standing, SMBs often have individuals handling those same functions--sometimes simultaneously.

"[SMBs] don't have the ability to go around policing every time they're mentioned in the public," Brigman said. "They certainly don't have the same amount of resources, typically, to lock down information."

Brigman noted two social scenarios that could expose SMBs to risk in legal discovery. The first involves employees acting, perhaps with the best of intentions, as official representatives of the business in social settings, even if they're not actually authorized to do so. Example: a consumer registers a beef with a company's product or service in an online forum, and an employee of that company chimes in to try and help. That could expose the company to legal risks down the line.

 1 | 2  | Next Page »


Related Reading




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.