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Ratings and Reviews 0 Ratings
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What is Trellis.law?
Trellis provides advanced legal intelligence and judicial analytics specifically designed for attorneys. By systematically extracting and organizing transient state trial court data, we transform it into a comprehensive searchable tool that grants law firms access to AI-augmented insights regarding judicial decision-making trends. Litigators can efficiently search through state trial court records, unearthing vital details about their opponents. For the first time, this extensive state trial court data is easily accessible! Trellis acts as a powerful AI-based platform for research and analytics in state courts, crafted by litigators to cater to the needs of their peers. What revelations await you in the vast searchable database of state trial court records? You can examine millions of court dockets and documents. Experience the extensive Trellis State Court Coverage today. To effectively advocate for your client, relying solely on informal observations and emails is not sufficient. Our state-of-the-art Judge Analytics Dashboard is the first of its kind, allowing you to investigate millions of state trial court cases and reveal the most significant analyses pertinent to your case. This data-driven methodology not only empowers litigators to make well-informed decisions but also enhances their overall legal strategy, potentially leading to more favorable outcomes in court. With Trellis, you can elevate your legal research to new heights!
What is Intraspexion?
The yearly financial burden linked to commercial tort litigation aimed at businesses, which includes payments for benefits, incurred losses, legal fees, and administrative costs such as document retrieval and lawyer consultations, is estimated to be approximately $160 billion, resulting in a staggering total of nearly $1.6 trillion over a ten-year period. To develop a deep learning model concentrating on the civil rights-employment category within federal courts, specifically addressing "employment discrimination," we compiled factual allegations from 400 federal court complaints, intentionally excluding any email data. This model was then launched on GPU instances in both Microsoft Azure and AWS, and it was assessed using 20,401 emails obtained from the Enron dataset, marking the model's initial exposure to email content. Each email identified as a true positive can be exported to a platform designed for internal investigations or case management, significantly increasing the model's practical applications. Additionally, by integrating a database with the user interface, users can archive these true positives, add them to the original training dataset, and re-train the model to enhance its accuracy and effectiveness. This ongoing learning process not only improves the model's performance but also ensures its continual adaptation to better recognize pertinent cases in the future, reflecting the dynamic nature of litigation and compliance in the business landscape. Overall, such advancements highlight the importance of leveraging technology in legal contexts to streamline processes and improve outcomes.
Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
Has API
API Availability
Has API
Pricing Information
$99.95 per month
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Trellis Research
Date Founded
2019
Company Location
United States
Company Website
www.trellis.law
Company Facts
Organization Name
Intraspexion
Date Founded
2016
Company Location
United States
Company Website
intraspexion.com/mvp
Categories and Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Business Intelligence
Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics
Competitive Intelligence
Alerts/Notifications
Benchmarking
Competing Product Analysis
Keyword Tracking
Social Media Monitoring
Trend Analysis
Website Monitoring
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Knowledge Management
Artificial Intelligence (AI)
Cataloging / Categorization
Collaboration
Content Management
Decision Tree
Discussion Boards
Full Text Search
Knowledge Base Management
Self Service Portal
Legal Research
AI / Machine Learning
Annotations
Brief Analytics
Case Alerts
Case Law Research
Change Tracking
Data Visualization
Filtering
Query Suggestions
Search History
Self-Service Search
Statutes Research
Tax Law Research
Third-Party Analysis Integration