Let's face it - the meteoric rise in digital and text communication has drastically changed the way we speak to one another. This ever-evolving shift in language creates a massive burden for ediscovery teams, who need to understand how text is used in context in order to effectively use legal technology to navigate massive amounts of data. In this episode, Amanda Jones of Lighthouse joins Bill and Rob to illuminate some common challenges and pitfalls that can arise with modern language in ediscovery. Let's face it - the meteoric rise in digital and text communication has drastically changed the way we speak to one another. This ever-evolving shift in language creates a massive burden for ediscovery teams, who need to understand how text is used in context in order to effectively use legal technology to navigate massive amounts of data.

We are living our lives more in bits & bytes than in exchanging emotions. We transact and communicate more over the internet using our super intelligent machines called computer. So we now feel that our machines need to understand how we comprehend while we speak and are trying to give language to them using the filed of Artificial Intelligence Called NLP: Natural Language Processing. Chatbots as an outcome are are becoming a reliable business tools to communicate with humans using this non-human dependent intelligent tool. It's a confluence of artificial intelligence and computational linguistics which handles interactions between machines and natural languages of humans in which computers are entailed to analyze, understand, alter, or generate natural language.