iPELiNT: Your AI-Powered Patent Solution
Streamlining patent workflows with artificial intelligence
Streamlining patent workflows with artificial intelligence
iPELiNT is an AI-powered patent solution designed to streamline the patent application process for law firms and legal professionals. Our platform provides comprehensive tools for patent analysis, reporting, and workflow management, making the complex patent process more efficient and accessible.
Built with modern security practices and scalable architecture to handle the needs of law firms of any size.
Advanced AI algorithms analyze patent applications to provide valuable insights and predictions.
Specialized tools for patent research, prior art search, and application tracking in one unified platform.
The patent application process is complex, time-consuming, and involves multiple fragmented tools. Patent attorneys and legal professionals face challenges such as:
The United States Patent and Trademark Office handles patents through a multi-step process that can take months or years:
iPELiNT is an AI-powered platform that simplifies and streamlines the patent process through:
Team Member
Team Member
Team Member
Team Member
Client
Client
A specialized model that predicts the most likely Art Unit(s) responsible for examination of a patent application. The Art Unit is a specialized technical team within the patent office covering a distinct technology domain.
The model ingests a new patent application (title, abstract, claims) and predicts the most likely Art Unit(s) that will be assigned to review it.
99%
Top-5 Accuracy
This model generates keywords from patent application data to use in USPTO patent search queries. It significantly reduces manual workload for prior art search by automating the generation of effective search terms.
40%
Initial Accuracy
Ongoing optimizationTeam members with varying technical backgrounds had to learn new technologies.
Re-learning parts of the system and adapting to changes throughout development.
Coordinating code changes and resolving conflicts in the codebase.
Managing tasks and schedules across team members.
Successfully created a streamlined patent workflow solution.
Developed tools for improved patent insights and analysis.
Automated processes leading to faster decisions.
Created a cohesive system for attorneys and analysts with integrated ML models.
Designed a clean, intuitive interface with ongoing improvements in progress.