Brightleaf: Data Extraction Powered by Semantic Intelligence

The present fast paced business environment is defined by multi-tiered relationships consisting of numerous active contracts in both paper and electronic media. Organizations need to readily access critical information regarding the terms of the contract such as expiration dates and auto-renewal clauses to counteract potential risks and avoid business losses. Often, organizations struggle to retrieve this data from contracts as it is usually keyed into a database that is error prone and slow. Digging up vital information within thousands of contracts continuously involves a resource-intensive, manual search, and abstraction process that is often very expensive and time consuming. The advent of modern extraction technologies has completely metamorphosed the way data is siphoned from contracts. As a chief proponent of this revolution, Brightleaf, using its semantic intelligent technology is focused on extracting crucial information from unstructured, text-based legal documents and making it portable for analytics, triggers, and queries. This enables clients to leverage the knowledge in their existing contracts, report on the extracted data, even recover hidden revenue and comply with current and upcoming regulations by international regulatory bodies such as GDPR and IFRS-16, 17.

Brightleaf’s semantic intelligence engine is a proprietary software platform for analyzing and abstracting commercial terms, legal provisions, and obligations from any text-based legal document. The engine uses natural language processing, artificial intelligence, and machine learning technologies and can be configured according to client needs to identify and extract virtually any data element. This flexibility enables Brightleaf to adapt to an array of different contracts, irrespective of their content or formats to extract key attributes. The extracted information is further verified by Brightleaf’s team of lawyers and financial analysts to provide extremely reliable, structured data for further processing by their clients. Samir Bhatia, CEO and Founder of Brightleaf, strongly advocates that human review needs to be performed at every stage for data verification for fixing errors that may have occurred in the original contracts due to poor quality of document scan, or conflicting data (such as multiple mentions of termination dates), or handwritten information.