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Average Ratings 0 Ratings
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.
Description
Syllo AI serves as an advanced litigation workspace that empowers lawyers and paralegals to effectively utilize the capabilities of language models throughout all stages of the litigation process. As a fully integrated AI-driven platform, it operates as a comprehensive system for managing case details, eDiscovery, and generating legal documents from the initial complaint to the trial phase. Utilizing proprietary models alongside foundational language processing technologies, Syllo enhances and simplifies workflows, ensuring that AI-generated outputs are firmly based on the entire litigation record, which promotes consistency, reusability, dependability, and the ability to audit across various cases. The platform's Case Intelligence Layer contextualizes AI insights within the ongoing legal matter, delivering timely updates on the relevance of evidence, keeping legal teams informed about emerging allegations and facts, and automatically adapting as new data becomes available. This innovative approach not only streamlines legal processes but also fosters collaboration among team members by ensuring everyone is on the same page with the latest case developments.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
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
Intraspexion
Founded
2016
Country
United States
Website
intraspexion.com/mvp
Vendor Details
Company Name
Syllo AI
Founded
2019
Country
United States
Website
syllo.ai/