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We hear a lot about the potential of artificial intelligence and machine learning to make the e-discovery process faster and more accurate — and in many ways, the technology is living up to these promises. But the human element remains a critical component, essentially creating a hybrid legal document review process that blends human and artificial intelligence to achieve the optimal results.
Our industry has been revolutionized by AI's ability to quickly dig through large amounts of data, locate relevant information and make review calls with a high degree of precision. Without this technology's ability to organize files and data and present them in a way that allows us to identify similarities, trends and outliers, we would simply be unable to cost-effectively manage the sheer volume of data that we encounter during the e-discovery process.
Yet, AI is in many ways still in its infancy, and it's important to realize that platforms utilizing this technology are heavily dependent on constant human interaction and training. As AI and machine learning technology continue to develop, there will come a time when computers will be able to perform increasingly larger portions of projects with little or no human input, delivering a higher level of quality than humans can achieve on their own.
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