Automating Patent Research with Corvic AI
This tutorial shows how to search, cluster, and analyze patents with Corvic AI to accelerate prior-art review and competitive IP research.What You’ll Learn
- Searching large patent corpora semantically
- Clustering patents to reveal themes and prior art
- Analyzing patents for competitive IP research
- Accelerating prior-art review with grounded results
How It Works
Search Patents
Use semantic search over embeddings to find relevant patents beyond exact keyword matches.Cluster & Explore
Group related patents into clusters to reveal themes, prior art, and white space in the IP landscape.Analyze for IP Research
Drill into clusters and individual patents to support prior-art review and competitive analysis, grounded in the source documents.Related Documentation
Multimodal Knowledge Extraction
Extract knowledge from patent documents.
Multi-Structural Embeddings
Build embeddings for semantic patent search.
Spaces
Create spaces to search and cluster patents.
Agents
Build an agent to analyze patents.