End-to-end intellectual property lifecycle management platform combining patent and trademark process automation with collaboration features. Uses AI, NLP, and natural language generation to assist with patent drafting and workflow automation. Includes portfolio dashboard with task/deadline/stage tracking for patents and trademarks. Founded in 2019 by James Brinkley II, Esq., an IP attorney and former IBMer with 10+ years in IP law. Targets individual entrepreneurs, startups, universities, in-house legal teams, and law firms at the price-sensitive end of the market ($99/month per F6S, with free trial). Released v2.0 in late 2024. Very early stage: 2-10 employees, $50K funding, <$5M revenue (ZoomInfo). Connected to TEDCO Maryland and pitched at ConnectPreneur (May 2024), suggesting active fundraising. Listed in BlackHills AI 2026 IP docketing solutions roundup. Briefly mentioned by Artificial Lawyer in 2020 (LexisNexis Accelerator), but no independent editorial coverage since.
Who It’s For
- Solo patent attorneys and agents looking for an affordable AI-assisted drafting and management tool
- Startups and entrepreneurs navigating the patent process without large IP budgets
- University tech transfer offices managing invention disclosures and patent portfolios
What We Haven’t Verified
- No independent practitioner reviews found on G2, Capterra, Reddit, or any IP forum
- Product feature depth is described only in generic terms — specific capabilities and workflow details are unclear from public sources
- The social networking component is unusual for patent management — unclear what this means in practice
- Pricing ($99/month) found only on F6S, not confirmed on the vendor’s own website
Workflows
Based on practitioner evidence, IPGen is used in these workflows:
What practitioners struggle with
Real frustrations from legal professionals — the problems IPGen addresses (or should address). Sourced from practitioner reviews, Reddit threads, and case studies.
In-house IP team managing 5,000+ patents across 40 countries tracks renewal deadlines, annuity payments, and maintenance fees in spreadsheets — a missed deadline in one jurisdiction means losing patent protection permanently, and the cost of defensive re-filing (if even possible) dwarfs the renewal fee
IP law firm prosecution team handling 500+ active patent applications across USPTO, EPO, JPO, and CNIPA uses a different docketing system than the client's in-house team — deadlines get double-entered or missed in translation, office action responses are tracked in email threads, and neither side has real-time visibility into prosecution status
Patent attorney drafting a 30-page specification has to manually verify that every reference label ('processor 235', 'memory 240', 'display 245') is used consistently across the specification, claims, and drawings — one mislabelled reference or antecedent basis error can trigger a USPTO objection that costs the client $2,000+ in additional prosecution fees and delays the application by months
In-house IP team at a tech company files 200+ patent applications per year and each one takes a patent agent 40-60 hours to draft from the inventor disclosure — the bottleneck isn't the invention, it's the labour-intensive process of writing specifications, claims, and figures that meet USPTO requirements, while the patent agent's queue grows faster than they can work through it
R&D team submits invention disclosures into a black box — they never hear back about patent decisions, don't understand why some inventions get filed and others don't, and eventually stop submitting because the process feels pointless
Where it fits in your workflow
Community Data
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