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features
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support

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Description

Gain immediate understanding of your contracts by pinpointing essential clauses, creating summaries, and facilitating your team's review process through advanced machine learning analysis. Diligen is utilized globally, catering to everyone from small legal teams to Fortune 15 corporations, streamlining the contract review process to be quicker, more efficient, and cost-effective. Its scalability is remarkable, accommodating anywhere from 50 to 500,000 contracts with ease. On day one, users can tap into hundreds of pre-trained clause models, while also having the ability to quickly train Diligen to recognize additional concepts. The adaptable and user-friendly interface can be tailored to fit your specific requirements. Compared to other market solutions, it offers industry-leading performance. You can delegate contracts to your team, enhance collaboration, and oversee the review process seamlessly. Training the system to recognize new clauses or ideas is straightforward, and it can automatically produce contract summaries in formats like Word or Excel. Furthermore, contracts can be filtered based on various criteria such as name, date, parties, or specific provisions, ensuring that hundreds of key clauses are automatically recognized and highlighted for your convenience. This comprehensive approach to contract management significantly enhances productivity and accuracy.

Description

Achieving commercial value in just weeks, ElectrifAi effectively addresses high-value use cases across various industries. With the most extensive collection of pre-built machine learning models available, our solutions integrate effortlessly into your current workflows, yielding swift and dependable outcomes. You can benefit from our specialized knowledge through pre-trained, pre-structured, or entirely new models tailored to your needs. Developing machine learning systems can be fraught with challenges and take considerable time, but ElectrifAi offers a superior approach by delivering over 1,000 ready-to-deploy models that integrate smoothly into existing processes. Our capabilities extend to deploying proven machine learning models quickly, ensuring that you receive solutions without delay. We handle the creation of machine learning models, the data ingestion process, and the necessary data cleansing. Our team of domain experts collaborates with your existing data to train the most suitable model for your specific use case, ensuring optimal performance and efficiency. By leveraging our expertise, you can unlock the full potential of your data and turn insights into actionable strategies.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS Marketplace No 
Box Yes 
Clio Yes 
Epiq Discovery Yes 
Microsoft Excel Yes 
Microsoft Word Yes 
NetDocuments Yes 

Integrations

AWS Marketplace Yes 
Box No 
Clio No 
Epiq Discovery No 
Microsoft Excel No 
Microsoft Word No 
NetDocuments No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Diligen

Country

Canada

Website

www.diligen.com

Vendor Details

Company Name

ElectrifAi

Founded

2004

Country

United States

Website

www.electrifai.net

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

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