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Description
Introducing Patent Theory, an innovative solution designed for patent attorneys that utilizes natural language generation technology to provide a secure and automated patent drafting experience. You maintain complete control over the process, allowing you to create templates featuring your own client- and technology-specific boilerplate. Tailor the automated behavior with custom changes, ensuring that the drafts generated reflect the necessary style and content. Begin with a single claim set, and let us generate the entire application for you, requiring only minimal input to fill in a few blanks. You can review the output through a real-time preview, and easily download the finalized documents in both Word (.docx) and PowerPoint (.pptx) formats to fine-tune your application as desired. With the bulk of the work already accomplished, Patent Theory will promptly eliminate any sensitive data after processing, ensuring that no human ever accesses your patent information. This solution significantly reduces the time spent on manual patent drafting, allowing you to draft in real time, making adjustments as necessary, with the confidence that what you see is precisely what you will get. Ultimately, Patent Theory streamlines the patent drafting process, enhancing efficiency and maintaining privacy for its users.
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
Microsoft PowerPoint
Microsoft Word
Pricing Details
$99 per month
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
Patent Theory
Country
United States
Website
patenttheory.com
Vendor Details
Company Name
XLSCOUT
Country
United States
Website
xlscout.ai/
Product Features
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