AI-Powered Prior Art Search
Discover relevant prior art that keyword search misses. AI semantic search across patents and non-patent literature.
Common Challenges
Missed references
Keyword-based search misses prior art that describes the same concept using different terminology.
Time-intensive process
Comprehensive prior art searches take days or weeks of analyst time.
Cost of errors
Missing critical prior art can result in invalid patents, lost litigation, or failed prosecution.
Limited non-patent coverage
Most tools focus on patents alone, missing critical references in scientific literature and standards.
Key Features
Semantic Prior Art Search
AI finds relevant prior art based on meaning, not just keywords—dramatically reducing missed references.
Multi-Source Search
Search across patents, scientific publications, technical standards, and product documentation simultaneously.
Claim-Level Analysis
Map prior art to individual claim elements for element-by-element invalidity or patentability analysis.
Relevance Ranking
AI ranks results by relevance to your specific claims, highlighting the most impactful references first.
Search Reports
Generate formatted prior art search reports ready for prosecution, licensing, or litigation use.
Continuous Monitoring
Set up ongoing monitoring for new prior art relevant to key patents in your portfolio.
How It Works
Input Your Search
Paste claims, describe the invention, or upload a patent application for analysis.
AI Searches & Ranks
ArcPrime AI searches 10M+ patents and non-patent literature, ranking results by claim relevance.
Review & Map
Review ranked results and map relevant references to individual claim elements.
Generate Report
Export a formatted prior art search report for prosecution, licensing, or litigation teams.
40%
More references found
10M+
Sources searched
3x
Faster than manual
Multi-source
Patent + literature