About us

Big data, BI, and data driven decisions are having a profound effect on U.S. business operations. Our vision is to accelerate this adoption with software that overcomes the challenge of mining important information from unstructured, text-based legal documents and making it accessible.

We are a Boston-based, minority-owned technology company. Our software and services open new doors for companies to manage risk, ensure regulatory compliance, recover revenue, avoid penalties, and meet customer obligations.

 

Technology

Brightleaf’s semantic intelligence engine is a proprietary software platform for analyzing and abstracting any and all commercial terms, legal provisions, and obligations from any legal document.

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Brightleaf Among Top Five Data Mining Companies

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View complete listing on SiliconIndia.com

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Cipla Medpro Gains Better Visibility Into Their Contracts

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Read how we helped this company organizing their contracts.

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BT Manages Obligations A Whole New Way

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Read how we saved this company $400,000.

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Schedule a Demo

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See how our automated contract abstraction delivers results.

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Contract Management Systems and Migration

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Our white paper explains how to establish a sound strategy

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Contract Management and Your Legacy Contracts

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Watch our recorded webinar.

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Contract Management White Paper

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How to upload all your legacy contracts

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Abstraction Success Stories

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How 6 corporations are performing abstractions rapidly and affordably.

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Automated Abstraction White Paper

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How new technology gives insight into your contracts

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Medical Contracts

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Download a sample abstraction of hospital consulting agreements.

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Our Newsletter

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Sign up to receive Brightleaf’s quarterly update from the frontlines of technology innovation.

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Services

We overcome the problems with traditional, software-based abstraction by combining a powerful natural language processing engine with a team of legal and quality control experts. This “technology enabled service” approach delivers abstracted data at unheard-of levels of quality: up to 99.99966% accuracy.

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