Brightleaf helps you work better. Here’s how we pull it off:
Industrial-strength software focused on enterprise contract management
Brightleaf’s semantic intelligence engine/natural language processing technology is a proprietary software platform for analyzing and abstracting any and all commercial terms, legal provisions, and obligations from any text-based legal document. The underlying architecture understands linguistics, along with broad and multi-layered grammatical constructs, allowing it to parse complex legal language across any number of contracts and companion documents such as amendments, addendums, side letters, etc. It further refines the results using custom rule sets, tailored by Brightleaf specifically for your documents, resulting in a highly detailed and accurate index of all your contract data.
The data is then put through a multi-step Six Sigma quality control process first using additional automation, followed-up with 100% review by a team comprised of legal experts, business analysts, and financial professionals to ensure exceptionally high quality: up to 99.99966% accuracy.
We then deliver it as a database to you for query and analysis or for upload to virtually any enterprise system.
Automate Contract Data Review Process
In order to facilitate data consistency, collaboration, and agile decision-making, our semantic intelligence engine provides metadata abstraction and obligation tracking services at the highest levels of accuracy.
Brightleaf Solutions provides abstracted data in a searchable format for better research and analysis. Delivering a bespoke spreadsheet that is optimized for import into your existing contract management system, as well as almost any other enterprise-level solution.
Download the whitepaper “Stepping stones to successful implementation of a contract lifecycle management system” that will guide you to maximize your opportunities while minimizing risk
Enterprise Class Data Architecture
AI-Powered Contract Data Review
Big Data Handling Capabilities
Six Sigma Quality Process
Customer Testimonials
