AI-powered meta-data extraction
Gain insights into your contracts
Our seamless, step-by-step process combines the speed and efficiency of AI with the accuracy and expertise of human oversight, ensuring the extraction of every crucial detail
Turn contracts into
strategic advantage
Brightleaf provides a technology powered service to extract information using our own proprietary semantic intelligence/natural language processing technology, our own team of lawyers to check the output, and our own Six-Sigma process to deliver end-to-end, highly accurate, extracted data. Your legacy contractual documents along with this extracted meta-data can be migrated into a Contract Lifecycle Management (CLM) system for tracking and reporting.
Precision Extraction
Our cutting-edge technology ensures precise data extraction, empowering you with actionable insights.
Seamless Migration
Experience a secure and efficient transition as we migrate your data with unwavering precision.
Strategic Empowerment
Contracts are the backbone of your business. Leverage our services to transform contracts into strategic assets, driving growth and mitigating risks.
Security Assurance
Our commitment to data security and compliance ensures your sensitive information is handled with the highest level of confidentiality and integrity.
Handle Various Document Types
Process different document types, such as Microsoft Word, PDF, text and more, from email attachments, uploads, folders, and archives.
Powerful contract data extraction with 99.9999% accuracy
Want to minimize contract risk while increasing and leveraging opportunity? You need to know everything important in all your contracts – paper and digital – so you can inquire and report for timely response.
Brightleaf AI Data Extraction Software
The software OCRs the contracts, de-duplicates documents, creates a hierarchy, and extracts 100s of pre-configured attributes. Configurable to extract any specific data point from any contract type.
Advanced OCR Capabilities
Hierarchy Match-up
for Contracts
Inbuilt Library
Affordable Pricing
Integration
The API can integrate with enterprise applications, like a CLM, to extract data from contracts. The software comes with hundreds of pre-configured attributes and has the ability to configure any custom attribute.
Brightleaf's AI enabled software uses ML (Machine Learning), NLP (Natural Language Processing), and AI (Artificial Intelligence) modules to accelerate your company's contracting activity
120+
Clients Served
100%
Customer Satisfaction
1M+
Data Extracted from Documents
Together supporting global businesses
Brightleaf works with all the leading CLM companies in the industry and the implementation and consulting partners to enable clients to load accurate legacy contract data into their systems. This enables the clients to have a successful roll-out of the system and use the data effectively for reporting, dashboards, and triggers.
From CEO's desk
A 10-blog series on legacy contract data migration and extraction
Samir Bhatia
“At Brightleaf Solutions, we believe contracts should be your business’s allies, not its anchors. This blog series is your roadmap to unlocking the hidden value within your contracts, from efficient extraction to insightful analysis. Get ready to transform your contracting landscape“
Our Amazing Clients
Trusted by the world’s biggest data-driven businesses
Sherry Blazejewski
Vice President- Strategy & Performance
Nuance
Carlos Ariza
Chief Data Scientist
Creative Artists Agency
Alissa Calderon
Legal Operations Specialist
Sciex
Jaclyn Schuler
Director, Global Sourcing and CLM
Amgen
Tracy Rankin
Sr. Manager, CLM
Amgen
Sean Regan
Sr. VP Global Alliances
Corcentric
Fortune 500
Financial Service Company
Technology Director
Large Global Telecom Service Provider
Technology Director
Large Global Telecom Service Provider
Project Manager
Top Fortune 50 technology company
Systems Manager
Top Global Cloud Services Provider
Systems Manager
Top Global Cloud Services Provider
Frequently Asked Questions
What is abstraction/extraction and why do I need it?
Extraction is the process of pulling out relevant data points from contractual documents. Once these are extracted and labeled accordingly, they can be put into a structured database (even Excel) for further reporting and analysis.
For example, you can extract Entity name, Counterparty, Expiration date, Autorenewal (Y/N), Workers Comp insurance liability limit (currency), etc. Read More
What is the difference between extraction and abstraction?
Even though there’s a difference in the dictionary meaning we use these two terms synonymously. As per the dictionary – extraction means the exact phrase from the contract/document is picked and copied whereas abstraction is the iota of extracted data.
For example, for the expiration date attribute, if the contract says “This contract expires on 3/4/19”, the extraction value for this would be “This contract expires on 3/4/19” whereas the abstraction value will be “3/4/19”, removing the irrelevant part from the phrase.
What is the difference between structured, semi-structured and unstructured data?
Data can be defined as a set of qualitative and quantitative values, that can be further processed to derive meaningful information. The quality of the information derived from a set of data depends on the accuracy and completeness of the data. It can further be divided into three types:
- Structured data – Data that has consistent formats and can be easily organized into a database like facts and figures entered into a pre-defined format or well drafted reports.
- Semi-structured data – The information that doesn’t reside in a pre-defined data format but does have some organizational properties that makes it easier to analyse, for example excel reports that do not conform to a formal structure.
- Unstructured data –Refers to information that either does not have a pre-defined data format and/or it is not organized using a common layout. Examples of unstructured data can be word docs, PDFs, video files, presentations, emails etc.
What are the different classifications of data?
Broadly data can be classified into five categories:
- Text – It includes script characters and expressions (words and sentences), like text written in different languages
- Numeric – Numeric values consist of numbers, decimal, percentage values, etc.
- Currency – This data type consists of monetary values like $ (US Dollar), € (Euro), ¥ (Yen), etc.
- Date & Time – It includes value for the years and time written in different formats like AM/PM, for dates 20th June 1990, 20/06/1990 (dd/mm/yyyy), 06/20/1990 (mm/dd/yyyy).
- Boolean Expressions – it indicates true/false, yes/no or on/off values.
Drowning in paperwork? Extract any clause, term, or detail
We provide comprehensive contract data extraction solutions, enabling you to extract accurate and structured metadata from any agreement, regardless of format or complexity. Let us unlock the power of your contracts.