Litify
The legal operating system built on Salesforce for high-growth firms and corporate departments.
AI-driven patent classification and intellectual property analytics for strategic portfolio management.
Aistemos, primarily known for its flagship platform Cipher (now part of LexisNexis), is a pioneering force in the Intellectual Property (IP) space. The technical architecture leverages proprietary machine learning algorithms to automate the classification of patents into specific technology domains, solving the historic challenge of manual patent mapping. By utilizing the Universal Technology Taxonomy (UTT), Aistemos enables corporate IP departments and law firms to move beyond keyword searches into sophisticated semantic understanding. In the 2026 market, it stands as a critical component of the LexisNexis IP ecosystem, bridging the gap between legal data and executive-level business intelligence. The platform processes millions of global patent records to provide real-time competitive benchmarking, portfolio optimization, and risk mitigation. Its architecture is designed to handle high-dimensional data, allowing users to visualize technology landscapes with unprecedented granularity. As R&D cycles accelerate, Aistemos provides the necessary infrastructure for rapid technology scouting and IP due diligence in sectors ranging from semiconductors to clean energy.
A standardized, multi-layered hierarchical structure for classifying global patents using supervised learning.
The legal operating system built on Salesforce for high-growth firms and corporate departments.
The Industry Gold Standard for Legal Table of Authorities and Document Styling Automation.
Automated legal intelligence and risk scoring for the modern enterprise.
Compiling Law into Code: The world's first open-source domain-specific language for computational law.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Real-time generation of 2D/3D technology whitespace maps using patent density vectors.
Algorithms that identify low-value or non-core patents based on citation strength, age, and market alignment.
Proprietary technology that cleans and groups patent assignees into accurate corporate trees.
Multivariate analysis involving 20+ indicators to assign a numerical value to individual patent assets.
Allows users to upload 'seed' patent sets to train bespoke ML models for niche technologies.
Simulates the merger of two portfolios to identify synergies and redundancies instantly.
Understanding where a competitor is focusing their R&D spend without manual report reading.
Registry Updated:2/7/2026
Rapidly assessing the quality of a target company's IP assets during a 48-hour bid window.
Reducing excessive patent renewal fees for outdated technology.