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Description
Cimphony is an innovative legal technology platform powered by artificial intelligence, aimed at enhancing the efficiency of legal processes for startups, small enterprises, corporate legal teams, and law firms. By utilizing AI agents, the platform automates a variety of tasks, including the formation of companies, drafting and reviewing contracts, preparing employment and HR documents, handling fundraising paperwork, and managing compliance. The intelligent document processing system of Cimphony undergoes a meticulous 8-point review, ensuring that results are delivered in mere minutes instead of taking days. Operating around the clock, it offers uninterrupted access to legal services whenever they are needed. Drawing on five decades of local regulatory knowledge, Cimphony guarantees adherence to compliance requirements across multiple jurisdictions. Users can take advantage of tailored templates for a range of documents, such as NDAs, MSAs, SLAs, LOIs, MOUs, and partnership agreements to meet their specific needs. Additionally, Cimphony provides essential tools for managing SAFE notes, convertible notes, and Series A venture capital transactions, thereby simplifying the planning, drafting, negotiation, and compliance processes associated with these financial instruments. The platform encourages real-time collaboration, enabling legal teams and stakeholders to seamlessly share and edit documents for a more efficient workflow. This comprehensive approach not only saves time but also enhances the overall quality of legal operations for its users.
Description
The annual expenses associated with commercial tort litigation targeting businesses, which encompass benefits paid, losses, legal fees, and administrative expenditures such as document collection and attorney meetings, were estimated at around $160 billion, culminating in nearly $1.6 trillion over the course of a decade. To create a deep learning model focused on the federal court’s civil rights-employment category, specifically "employment discrimination," we gathered factual allegations from 400 federal court complaints—excluding any email data. This model was deployed on GPU instances within Microsoft Azure and AWS, where it was evaluated using 20,401 emails from the Enron dataset, marking the first instance the model encountered email data. Each identified true positive email can be exported to a platform for internal investigations or case management purposes, enhancing the model’s utility. Furthermore, with an integrated database connected to the user interface, users have the capability to save these true positives, incorporate them into the initial training set, and subsequently re-train the model for improved accuracy and performance. As a result, this continual learning process ensures that the model evolves and adapts over time to better identify relevant cases.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
$399 one-time payment
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Cimphony
Country
United States
Website
www.cimphony.ai/
Vendor Details
Company Name
Intraspexion
Founded
2016
Country
United States
Website
intraspexion.com/mvp