Settlement strategies and trial outcomes often hinge on the ability to surface relevant data for a case. Legal discovery is the practice of identifying, collecting and producing electronically stored information in response to a lawsuit or investigation.
Collaboration content must be discoverable
Any electronic informationin your enterprise is potentially subject to eDiscovery, including text messages and social media posts, as well as data in collaboration tools like Slack, Microsoft Teams, Workplace from Facebook and Yammer.
When it comes to enterprise collaboration,the average employee sent over 200 collaboration messages per day–prior to the COVID-19 pandemic. This means an organization with 20,000 employees hosted an average of 4 million messages in their digital workplace on any given workday, and that number is likely exponentially higher now.
In a legal discovery scenario, how will you find relevant communications in your digital workplace before it’s too late?
High data volume is the biggest obstacle for timely discovery
An organized archive of communication data is the first step for successful eDiscovery processes. Massive amounts of unstructured data is dangerous, time consuming and expensive when an investigation arises.
Legal discovery can account for 20-50% of your company’s litigation expenses. Proactively organize data to reduce costs, save valuable time and prepare for future litigation.
Stop wasting time when you kick off your legal discovery with insights-as-a-service
Performing an eDiscovery investigation of a communication dataset is much more than looking for one, unique piece of data. The context surrounding the individual messages is critical to make sense of data in question.
Save time and money when you use insights-as-a-service to parse through communication data and gain a foundational understanding of the content living in your tools before performing any specific search activities.
There are three key insights features that can save your legal team time and money: topic reports, conversation health metrics and conversation sentiment metrics.
1. Topic Reports
Topic reports are useful to understand where employees are talking about certain phrases or themes.
For example, let’s say one of your employees is accused of money laundering. Your legal team can kick off a discovery process with a topic investigation surrounding the alleged crime and attain a primary understanding of who talked about the issue, when and where.
With these insights, your team can granularly target individual keyword queries and investigations into individual authors.
What is topic reporting?
Enterprise collaboration topic reports show how and where specific topics (or groups of keywords) are discussed in the digital workplace.
2. Conversation Sentiment
Conversation sentiment metrics allow your team to go beyond simple keyword searches. Consider identifying messages of interest when searching for positive or negative sentiment in messages that contain incriminating terms.
What is conversation sentiment?
Conversation sentiment is the measure of emotion that lies behind messages within your collaboration platform.
3. Conversation Health
Surface ‘smoking gun’ communications when you look for communications that are marked as unhealthy or even toxic. Save time and effort when you identify inappropriate, hateful and offensive messages before launching your investigation.
What is conversation health?
Conversation health measures communications for work-appropriateness.
Unhealthy conversations contain swear words, sexual innuendos, hate speech, bias, inappropriate slurs or any other sort of derogatory language.
In a legal discovery scenario, the difference between winning or losing a case can easily rest in your team’s ability to find pertinentevidence. Invest in structuring your communication data so that you can reliably and efficiently surface shared content when you need it most.
Stop wasting time and money when you invest in insights-as-a-service.
Save your legal discovery team’s time and money with a searchable collaboration data archive and insights-as-a-service. Learn more about how Aware categorizes, manages and analyzes the data living in collaboration tools like Microsoft Teams, Slack, Workplace from Facebook or Yammer.
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