Automation Potential in: E-Discovery

today's Challenges

Data management is a top challenge for any lawyer as they will inevitably have to go through huge amounts of information in order to build a strong case. There are a number of e-discovery software providers, but the costs are rather high and in many cases human intervention is still needed to sift through what information is relevant. 

80% percent of lawyers review e-discovery materials using simple keyword search. This manual process, used by the majority of lawyers, can be completely automated with RPA. Meanwhile, tools such as AI-based predictive coding can significantly expedite the processing and review of e-discovery materials.

automation Impact Evaluation

Automation’s capacity for flexible data management can be leveraged to simplify the process. A bot can compile and sift through large data and find the required information, collating information from different sources including law portals and the internet.

By automating routine work and generating swift insights, it can reduce the burden on legal departments faced with a deluge of information and a lack of time to process it.

Advanced AI-driven search tools can do more than simply search the discovery materials by a keyword. They also look for patterns related to keywords that give them meaning in context, identifying relevant phrases, sentences and paragraphs that would not have been flagged in an ordinary keyword search.

For example, automated tools can find answers in milliseconds across massive portfolios of documents. It can extract data from structured or unstructured formats, contextualise that data for easy analysis, and remove friction and complexity from the e-discovery process.

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