Low-latency, real time Legal AI with Spark NLP on gRPC
<p>Some business areas have made a bigger progress than others, as if we compare Financial Services, where AI is a reality, to the Legal sector, where it is just beginning.</p>
<p>However, datasources as <a href="https://www.sec.gov/edgar/search-and-access" rel="noopener ugc nofollow" target="_blank">SEC’s Edgar</a> (public), <a href="http://www.lawinsider.com/" rel="noopener ugc nofollow" target="_blank">Lawinsider </a>(propietary) and many other initiatives have triggered the inclusion of NLP in Legal Platforms, including of those for Contract Lifecycle Management (CLM), as D<a href="https://docux.ai/" rel="noopener ugc nofollow" target="_blank">ocux</a>, D<a href="https://www.docusign.com/" rel="noopener ugc nofollow" target="_blank">ocusign</a>, <a href="http://www.juro.com/" rel="noopener ugc nofollow" target="_blank">Juro</a>, etc.</p>
<h1>Low latency NLP in Legal CLMs</h1>
<p>Contract Lifecycle Management requires a quick interaction, real-time response to the user requests. Although some asynchronous batch-processing may be relevant, if a user uploads a document to a CLM, they will look for quick NLP insights (2s–4s) on their documents.</p>
<p><a href="https://medium.com/@jjmcarrascosa/low-latency-real-time-legal-ai-with-spark-nlp-on-grpc-a2f9b899de92"><strong>Read More</strong></a></p>