Automate complex patent workflows with AI precision
IP Author streamlines intellectual property management using generative AI, helping legal teams create patents 30x faster than traditional methods. It handles everything from initial invention disclosures to office action responses, using specialized modules that match human analyst accuracy while avoiding common AI hallucination issues. The platform is particularly valuable for patent attorneys and corporate IP teams needing to accelerate patent drafting, prior art searches, and licensing documentation while maintaining legal rigor.
Generate complete patent drafts in 15 minutes with editable diagrams
Find relevant patents 150x faster than human researchers
Craft detailed legal counterarguments for every claim
Automatically link patents to real-world product infringements
Adapt patent categorization to your company's specific needs
The tool achieves 70-80% match rates with human-identified prior art and uses advanced prompt engineering to maintain legal precision.
Yes, users successfully generated protein sequence claims with automatic renumbering and naming capabilities.
Uses proprietary databases and validation against PCS patent data to ensure accuracy.
This tool is best for:
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Recent data shows that IP Author has 2.9K monthly visits (9.3% increase from the previous month), 48.0% bounce rate, and average 1.56 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 3 countries worldwide, led by India contributing 56% of total traffic. SEO performance is shown by 5 tracked keywords, with "ipauthor" being the top-performing keyword with 160 monthly searches. See below for more info.
Monthly Visits
2.9K
Pages per Visit
1.56
Bounce Rate
48.0%
Average Time on Site
12s
| SEO Keyword | Volume | CPC |
|---|---|---|
| ipauthor | 160 | - |
| patent author investor | 80 | - |
| architectural design patent description format sample refference | 90 | - |
| what is the maximum no of words in the title of a patent document | 80 | - |
| ai patent drafting | 150 | - |
| Source | Traffic Share |
|---|---|
| Direct | 34% |
| Search | 49% |
| Social | 8% |
| Referrals | 9% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 56% |
 | 34% |
 | 10% |
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