Natural Language Processing (NLP) is a broad set of tools and techniques that can be used to classify text data, extract specific entities, insight, and knowledge from it and tabulate it in a manner that allows a better search. We have successfully completed email classification and an automation solution for a Fortune 500 logistics firm using NLP and Robotic Process Automation (RPA). This solution has helped the enterprise to automate the process, reduce manual errors and respond quickly to the inbound emails. The solution is integrated with UiPath to automate the final stages of the workflow.

Around 20% of the attorney’s time is consumed by their legal research on previous judgments, case files, and recordings. Especially in patent application filing where the prior art search involves manual keyword-based searching for related patents. A good part of the attorney’s workload is consumed by mundane and repetitive work that restricts them from investing time in the more innovative and creative aspects of patent applications. We have built a semantic analysis tool that will do a semantic search on all the documents to pre-select existing closely related to the new cases for the attorney to review. The ability to search within a defined boundary and across the web would help attorneys to increase their efficiency.

Semantic Indexing is the sorting of documents like proposals, resumes in order of relatedness to each other or to a reference document. This is a useful technique in the automated pre-ranking of documents for humans to analyze. Semantic indexing allows our clients to automate the repetitive part of their work and concentrate on high-value propositions. We have built a semantic indexing solution for automatically ranking proposals for an RFP by comparing if the proposals have addressed every requirement in the RFP or not.