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Description
As a seasoned corporate attorney, you are well aware that creating share provisions can be a labor-intensive process, particularly when navigating multiple classes of shares that come with diverse rights, privileges, restrictions, conditions, and various dividend and participation rankings. With SpeedMatters, you can effortlessly create as many share classes as you desire, respond to fundamental interview questions about each one, and watch as it intelligently generates the share provisions for you. If the accountant alters your instructions at the last moment—whether by adding new classes, modifying attributes, or introducing a conversion feature—there’s no need for concern. Just input the new share classes or adjust your interview responses, and "voila"—the share provisions, complete with all necessary rankings, rights, privileges, conditions, and restrictions, are updated automatically, ensuring a seamless and efficient drafting process. This innovative tool transforms the traditionally arduous task into a streamlined experience that saves time and reduces errors.
Description
XLSCOUT provides an extensive and high-quality database of intellectual property data specifically designed for patent analytics, featuring 136 million patents sourced from over 100 countries. This platform is recognized by leading brands and organizations of varying sizes for its reliability and accuracy. By harnessing state-of-the-art artificial intelligence technologies, XLSCOUT has crafted a detailed and intelligent database for patents and research publications. Its use of Natural Language Processing (NLP) and Machine Learning (ML) empowers users to save time while gaining dependable insights, allowing for informed, data-driven strategic decisions. Additionally, the Drafting LLM is an innovative platform that employs Large Language Models (LLMs) and Generative AI to create high-quality preliminary patent drafts efficiently. Furthermore, the Novelty Checker LLM rapidly analyzes both patent and non-patent literature, providing users with a thorough list of prioritized prior art references along with an insightful analysis report on key features. This multifaceted approach ensures that users are well-equipped to navigate the complexities of patent applications and research.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
$50 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
SpeedMatters for Corporate Law
Founded
1997
Country
Canada
Website
speedmattersforcorporatelaw.ca
Vendor Details
Company Name
XLSCOUT
Country
United States
Website
xlscout.ai/
Product Features
Legal Document Management
Access Controls
Archiving & Retention
Collaboration
Contract Management
Document Assembly
Document Indexing
Document Tagging
Full Text Search
Version Control
Product 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)
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Natural Language Processing
Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization