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Contract Intelligence




Extract clauses, dates, parties, and other custom entities from complex contracts with high accuracy and flexibility using Snorkel Flow.




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Case Study —



Top 3 US Bank Automates Processing Complex Contracts




A Top 3 US bank developed an AI-driven contract processing application with 99% accuracy in under 24 hours using Snorkel Flow


 
<24hrs
To develop the first custom ML model
<0hrs
To develop the first custom ML model
+99%
To develop the first custom ML model
+0%
Accuracy for contract classification
250K
Contracts processed in minutes
0K
Contracts processed in minutes

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Go Beyond Standard Contracts


Build custom contract intelligence models and applications using Snorkel Flow to extract non-standard information precisely. Go beyond brittle, off-the-shelf software to using state-of-the-art ML–no costly manual labeling required.

 







This agreement may be terminated [CLAUSE] at any time by either party, with or without cause, upon receipt of 45 days [TEMPORAL]  prior written notice of termination by the non-terminating party.


High-Accuracy Models


Develop highly accurate models to decrease the potential of contract errors or disputes with guided iteration and built-in analysis tools.








Faster, Lower-cost Extraction


Use programmatic labeling to train models that extract custom attributes in minutes instead of spending weeks or months on expensive hand-labeling.


Is the contract an agreement, an amendment, a note, or other?

What are all of the principal amounts mentioned in this contract?

What is the execution date of this contract?

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BUSINESS FORMATION
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BUSINESS OPERATIONS
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COMMERCIAL CONTRACTS
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TRADEMARKS & COPYRIGHTS
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LABOR & EMPLOYMENT
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PATENTS
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DEBT & BANKRUPTCY
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REAL ESTATE
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TAX

Rapidly Adaptable


Rapidly adapt to new contract types in a fraction of time. Retrain models with ease to changing input data or business objectives.








Private and Secure


Process complex contracts and clauses for any type of analysis while keeping data private and secure. Avoid shipping data for off-premises manual labeling.

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LEGAL RESEARCH
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DOCUMENT AUTOMATION
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ELECTRONIC DISCOVERY
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CONTRACT REVIEW
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TRADEMARKS & COPYRIGHTS






Why Snorkel Flow —



A Radically New Approach to AI




Conventional AI approaches rely on generic third-party models, or brittle rule-based systems, or armies of human labelers. With Snorkel Flow, programmatically labeling unlocks a new workflow that accelerates AI app development.
 



With Snorkel Flow

  • Customize state-of-the-art models by training with your data & adapt to changing data or goals with a few lines of code.
  • Leverage cutting-edge ML to go beyond simple rules, and retain the flexibility to audit and adapt.
  • Label thousands of data points programmatically in hours, while keeping your data in-house and private.

With Conventional Approaches

  • Pre-trained vendor models often don’t work on your data, no way to customize, adapt, or audit.
  • Rules-based approaches often don’t perform well on complex data or adapt easily to changes in data or goals.
  • Hand-labeled ML is hugely expensive, with often no way to iterate and adapt, be privacy compliant, audit, or reuse.






How Snorkel Flow Works —




An End-to-end ML Platform Centered Around Data




Designed to accelerate AI application development by removing the training data bottleneck.

 



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01


Label & Build
Label and build training data programmatically in hours without months of hand-labeling
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Integrate & Manage
Automatically clean, integrate, and manage programmatic training data from all sources
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03


Train & Deploy
Train and deploy state-of-the-art machine learning models in-platform or via Python SDK
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Analyze & Monitor
Analyze and monitor model performance to rapidly identify and correct error modes in the data






Solutions —



AI Use Cases


Build and deploy use cases previously blocked by training data by combining state-of-the-art ML with industry-specific best practices and flexible API-based integrations using Snorkel Flow.