As legal tech firms roll out generative artificial intelligence (AI) tools at a rapid pace, a pressing issue is emerging: there’s a dearth of training data. While the legal sector is not short on documentation—with contracts and other legal papers aplenty—the data isn’t as trainable as vendors initially assumed.
Despite the abundance of generative AI tools, legal tech companies are encountering significant roadblocks in their data utilization. This hurdle isn’t arising due to a lack of data, but rather because clients often prohibit the use of their data for training the AI systems.
The implications of these restrictions are profound, as AI systems’ effectiveness lies in their capacity to learn from vast amounts of data. Without access to sufficient legal data, these powerful tools risk remaining underutilized and their full potential untapped.
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