Still searching vast communication archives simply using keywords?
For the legal and financial businesses that have always depended upon quick and definitive discovery, it has been an essential, albeit imperfect technology.
However, increased complexity of unified communication channels; nuanced language and tone; and a relentless growth in the sheer volume of voice calls, emails and messages have all helped to render keyword searching as outdated and flawed.
Indeed, it’s easy to see why e-discovery classification – a game-changing method of data search and capture – is fast-becoming an essential technological tool.
It enables faster, richer, more pertinent searching that not only saves valuable time when responding to a complaint or building a client’s case, but also improves the quality of captured communications.
No more reams of irrelevant, superfluous results – just a sharp, AI-powered focus on the words, sentences, and meanings that really matter.
The benefits are there in abundance – all organisations and their technology partners must do is seek out a provider with a solution that delivers.
“Organisations generate far too much communication data now for it to be effectively searched using keywords or for it to be reviewed manually – that’s why technology must be leveraged as much as possible,” says Chris Stapenhurst, Senior Principal Product Manager at leading data management and protection experts Veritas, all of whose discovery, surveillance, and file analysis products come with a free, in-built e-classification micro-service as standard.
“There's more to it than just time saving, too. When looking for communications associated with a particular event or issue, it's impossible to think of all the different words and phrases someone might have used.
By leveraging an AI-powered model-based approach, searching goes way beyond just keywords. It maximises recall of items that are truly relevant, and minimises the unwanted noise.”
The key to the Veritas solution is that it proactively and automatically classifies all communications as they enter an archive. It attaches a metadata tag based on a limitless number of classifications that are either baked-in to the product or customized by the user organization. Examples of classifications include attorney-client privilege, credit card information, money laundering, bribery, criminal history, medical record information, ransomware, offensive terms, and hundreds of others.
In addition, superfluous ‘junk’ communications are automatically tagged, such as out of office email responses, subscription marketing messages, ‘all-hands’ employee bulletins, and daily newsletters.
