Extracting unstructured data
Project Synopsis
Explore how companies have used Brightleaf to gain unique insights into their contracts
One of the largest non-profit medical centers approached Brightleaf to extract numerous information from their legacy contracts such as MSA, SOW, NDA, Network Agreements, Leases, etc. The information included important terms like payment terms, delivery terms, warranty terms, exit clause terms, renegotiating, price, and invoicing terms. The extraction also included agreement terms like effective date, expiration date, if the agreement is evergreen, renewal type, notification period of the termination, termination for convenience, contract amount, etc. Brightleaf extracted this information from both expired and in-force contracts.
Brightleaf facilitated the Fortune 1000 multimedia company that develops and maintains image messaging and multimedia mobile apps with the extraction of term and termination-related key information from its legacy contracts. Some of the attributes extracted included Effective Date, Agreement End Date, Perpetual, Auto-Renew, Termination notice period.
One of the largest not-for-profit, Medicare Advantage, health maintenance organizations serving nearly 200,000 members engaged Brightleaf to extract the key information from its legacy contracts like Network, Consulting, Vendor agreements, etc. The key information included term and termination, product description, assignor, assignee, etc.
A fortune 500 global Financial services company’s data volumes grew in large amounts. They were looking to track business-critical data from their legacy contracts. Brightleaf extracted key information such as contract auto-renewal, term, and termination, notification period, etc. from their legacy contracts which resulted in better report quality and optimized operations.
The World’s largest distributor of food and related products primarily to the foodservice or food-away-from-home industry; with more than 600,000 clients in a wide array of fields hired Brightleaf to help them with the extraction of key information from their contracts. The data extracted by Brightleaf included their customer locations, Number of deliveries per week, Average sell price, Average order size, Brand purchases to total purchases, Annual purchase commitment, Fuel Surcharge, Fuel Surcharge Index adjustments, etc.
Brightleaf helped the fortune 500 telecommunications company by extracting key information from high volumes of unstructured data with greater efficiency and accuracy from a wide variety of document types such as MSAs, Amendments, Addendums, Exhibits & Appendices, etc. along with the corresponding sections. Also, we did an in-depth analysis of some of the important attributes such as Dispute Process and Guidelines, like timeframe of the company’s dispute capability begins, the time interval of the dispute, and much more.