This data-centric reality means companies have more data than they can handle. 2020 was a tipping point as data volumes rose by 57% over the previous year with companies shifting to remote work and communication over Slack, Microsoft Teams and Zoom taking the place of in-person meetings and conversations. New Data Challenges Make It Imperative to Use AIĭata volumes are growing at a furious pace. We are now at a point where AI models can be easily trained to perform them in a way that is quicker, more accurate and more cost-effective so that attorneys can allocate their time and considerable knowledge to more value-additive work such as case strategy. These tasks are highly repetitive and computationally intensive. For instance, consider how attorneys spend a disproportionate amount of time going through mountains of documents during discovery, analysing each and every document for privilege and responsiveness. Yet there are certain tasks within the legal profession which, owing to the lack of technological innovation, keep them from doing their best work. Creativity, on the other hand, remains an innately human ability indeed, the capacity to combine disparate ideas into something meaningful is and will always remain an exclusively human privilege.Īttorneys are required to be highly strategic, creative and, above all, detail-oriented and precise in discharging their duties. It is true that AI is capable of performing computationally intensive tasks at a scale and precision that goes beyond anything that humans can do. ![]() Our understanding of and attitudes towards AI has evolved considerably since. It’s been almost 75 years since Alan Turing’s seminal paper, ‘ Computing Machinery and Intelligence’, was published, which rejected the long-held belief that machines could not be taught human intelligence. By Omar Haroun, Co-Founder & COO of Text IQ, a Relativity company.ĪI’s adoption has accelerated only in recent years, but its conceptual roots stem, at least in part, from a 1950 essay.
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