Now, these challenges are disappearing for both Businesses are already seeing the benefits of written and spoken text through advancements in increasing NLP sophistication. Casetext, a startup NLP. By leveraging these advances, businesses can building an AI-powered research platform for deepen human-AI collaboration. Google’s BERT lawyers—named CARA—has applied techniques and Baidu’s ERNIE—which are both open-source similar to the BERT approach. In doing so, the frameworks—enabled AI systems to move from company improved its citator filtering algorithm understanding just one word, to understanding to better curate the passages sent on from the AI 4,5 phrases in context. The same way humans learn for human review. This helps lawyers build their reading comprehension in school, NLP systems cases by providing more relevant and actionable can now understand that there’s a difference information. The collaborative approach has cut between “Joe is running at the gym,” “the car the percentage of potentially overruling passages engine is running” or “Maria‘s nose is running.” that human co-workers need to read in new 6,7 This semantic understanding improves a machine’s cases down to three percent. ability to understand a human’s intent, letting them better inform outcomes without requiring constant direction.