Product Overview: LexisNexis Cipher
Introduction
LexisNexis Cipher is a sophisticated AI-driven platform designed to revolutionize the management and analysis of patent data, particularly for intellectual property (IP) professionals. This platform leverages advanced machine learning algorithms to classify patent data, model patent technology landscapes, and provide invaluable insights for IP strategy.
What Cipher Does
LexisNexis Cipher is tailored to help IP professionals make evidence-based decisions by automating the classification and analysis of vast patent datasets. The platform enables users to define their own technology areas, automate patent-to-technology mapping, and generate comprehensive patent landscapes. This facilitates a deeper understanding of the competitive landscape, allows for the identification of key patents, and helps in optimizing patent portfolios.
Key Features and Functionality
Patent Classification
- Custom Classifiers: Users can build their own classifiers using supervised machine learning to automate the mapping of patents to specific technologies. This eliminates the need for manual tagging or complex boolean queries.
- Training and Refinement: Classifiers are trained using a set of patents that should or should not be included and can be refined using additional information such as similar families or suggestions.
Patent Landscape Generation
- Interactive Reports: Cipher generates interactive reports that provide detailed insights into patent ownership, geographical distribution, costs, and disputes related to specified technologies. These reports are downloadable and include over 70 different types of reports.
- Alerting System: The platform includes an alerting system for new publications that match the defined classifiers, ensuring users stay updated on the latest developments in their technology areas.
Clustering and Analysis
- Patent Portfolio Clustering: Cipher automatically clusters patent portfolios and maps them to portfolios owned by other companies, using a combination of machine learning algorithms and manual checks. This allows for comparisons of technologies across organizations by filing country and analysis of patent spend by organization and country.
- Corporate Grouping: The platform uses the best corporate tree available, provided by 1790 Analytics, to improve corporate grouping and provide a more accurate view of the patent landscape.
Custom Taxonomy
- Bespoke View: Users can build their own bespoke view of the patent landscape using a custom taxonomy that aligns with their specific technological taxonomy. Full training is provided to ensure users can effectively utilize this feature.
Universal Technology Taxonomy
- Comprehensive Classification: Cipher’s Universal Technology Taxonomy divides over 45 million patents into ten super-classes and 121 sub-classes, providing a comprehensive framework for understanding and navigating the patent landscape.
Benefits
- Efficiency: Automates the process of patent classification and landscape generation, significantly reducing the time and effort required for manual analysis.
- Accuracy: Ensures high accuracy through machine learning algorithms and continuous refinement, minimizing the risk of overlooking key patents.
- Insightful Decision-Making: Provides IP professionals with detailed and actionable insights, enabling them to make informed decisions about their patent strategy and portfolio management.
LexisNexis Cipher stands out as a powerful tool for IP professionals, combining expertise in intellectual property and classified patent data to deliver evidence-based decision-making capabilities.