A conventional patent application can take 30 to 40 hours of attorney time, cost $18,000 to $40,000 in legal fees, while startups wait months to protect technology that can change by the day. Fearn, the modern patent prosecution firm for startups, was built around a different model.
Today, the company launched an AI-native patent firm pairing former Big Law patent experts with an in-house AI and engineering team. Fearn drafts and prosecutes patents across software, hardware, robotics, semiconductors, defense, biotech and pharma, with fixed fees, provisional filings in as little as three business days, and a guarantee that puts its drafting fee at risk if a non-provisional application receives no allowed claims.
The company has raised $5.5 million from Kindred Ventures, a16z Speedrun, Designer Fund and Essence VC. Fearn enters a $14 billion global patent market, with early-stage companies filing 150,000 new patent applications every year.
The journey
Fearn was founded by Caltech alumni Han Kim and Angela Gao after they saw the same problem from opposite sides. Kim had prosecuted patents at Morrison & Foerster, while Gao earned a PhD in computer science and AI. They initially built software for law firms, but quickly realized better tooling alone would not fix a model where time saved meant revenue lost and sensitive pre-filing IP made AI difficult to deploy safely.
So they built the firm around the technology instead. Today, Fearn has hundreds of users, from venture-backed startups to public companies.
How Fearn works
At the center of the firm is FearnOS, its proprietary drafting and client management system. Instead of treating a patent as one long linear document, it represents the patent as a graph: it maps claims to the supporting text, figures and technical material behind them, while preserving attorney edits and a full record of how each section was produced.
That structure lets Fearn combine specialized AI with deterministic checks without taking the patent professional out of the loop. Every application is still reviewed by a former Big Law patent expert.
Fearn says work that typically takes 30 to 40 attorney hours can require as little as 30 minutes of attorney time on FearnOS. Provisionals cost $2,500, non-provisionals $9,000 including USPTO fees, and the firm reports gross margins above 80%.
Clients also manage their portfolio through the platform, with controlled access to individual patents, a complete version history and secure connections to the places where technical documentation already lives.
Customer outcomes
Fearn is already being used across technically demanding industries where filing speed can determine whether valuable IP is protected before a product demo, publication or competitive breakthrough.
London-based game studio Iconic went from invention disclosures to filed applications in days while protecting technology for AI characters that improvise in real time. American defense technology company Photon Spear used Fearn to file a hardware space technology patent in several days while keeping its material entirely on privately hosted infrastructure. Serova Bio uses the platform for patent work around AI-designed personalized cancer vaccines, where claims, supporting disclosure and a growing portfolio need to remain coordinated as the underlying science evolves.
The broader legal market is moving in the same direction. Major firms are making unusually large investments in proprietary AI infrastructure precisely because sensitive legal work requires more control over models and client data. Fearn’s thesis is that startups should be able to access that level of technical infrastructure without inheriting the economics and operating model of Big Law.
What’s next
Fearn’s ambition goes beyond drafting patents faster. It wants to give startups the kind of portfolio strategy once reserved for companies with large in-house IP teams and seven-figure outside-counsel budgets. The company is extending FearnOS across patent families, international filings, office actions and long-term portfolio strategy, so founders can see what protects each product, where coverage is weak and what should be filed next.
The end goal is simple: give a three-person startup the patent infrastructure of a much larger company, so the strength of its IP depends more on what it invented than what it can afford to spend protecting it.
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This entry was posted on September 23, 2026 at 8:48 am and is filed under Commentary with tags Fearn. You can follow any responses to this entry through the RSS 2.0 feed.
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AI-native patent firm Fearn launches to take on the billable hour in a $14B market
A conventional patent application can take 30 to 40 hours of attorney time, cost $18,000 to $40,000 in legal fees, while startups wait months to protect technology that can change by the day. Fearn, the modern patent prosecution firm for startups, was built around a different model.
Today, the company launched an AI-native patent firm pairing former Big Law patent experts with an in-house AI and engineering team. Fearn drafts and prosecutes patents across software, hardware, robotics, semiconductors, defense, biotech and pharma, with fixed fees, provisional filings in as little as three business days, and a guarantee that puts its drafting fee at risk if a non-provisional application receives no allowed claims.
The company has raised $5.5 million from Kindred Ventures, a16z Speedrun, Designer Fund and Essence VC. Fearn enters a $14 billion global patent market, with early-stage companies filing 150,000 new patent applications every year.
The journey
Fearn was founded by Caltech alumni Han Kim and Angela Gao after they saw the same problem from opposite sides. Kim had prosecuted patents at Morrison & Foerster, while Gao earned a PhD in computer science and AI. They initially built software for law firms, but quickly realized better tooling alone would not fix a model where time saved meant revenue lost and sensitive pre-filing IP made AI difficult to deploy safely.
So they built the firm around the technology instead. Today, Fearn has hundreds of users, from venture-backed startups to public companies.
How Fearn works
At the center of the firm is FearnOS, its proprietary drafting and client management system. Instead of treating a patent as one long linear document, it represents the patent as a graph: it maps claims to the supporting text, figures and technical material behind them, while preserving attorney edits and a full record of how each section was produced.
That structure lets Fearn combine specialized AI with deterministic checks without taking the patent professional out of the loop. Every application is still reviewed by a former Big Law patent expert.
Fearn says work that typically takes 30 to 40 attorney hours can require as little as 30 minutes of attorney time on FearnOS. Provisionals cost $2,500, non-provisionals $9,000 including USPTO fees, and the firm reports gross margins above 80%.
Clients also manage their portfolio through the platform, with controlled access to individual patents, a complete version history and secure connections to the places where technical documentation already lives.
Customer outcomes
Fearn is already being used across technically demanding industries where filing speed can determine whether valuable IP is protected before a product demo, publication or competitive breakthrough.
London-based game studio Iconic went from invention disclosures to filed applications in days while protecting technology for AI characters that improvise in real time. American defense technology company Photon Spear used Fearn to file a hardware space technology patent in several days while keeping its material entirely on privately hosted infrastructure. Serova Bio uses the platform for patent work around AI-designed personalized cancer vaccines, where claims, supporting disclosure and a growing portfolio need to remain coordinated as the underlying science evolves.
The broader legal market is moving in the same direction. Major firms are making unusually large investments in proprietary AI infrastructure precisely because sensitive legal work requires more control over models and client data. Fearn’s thesis is that startups should be able to access that level of technical infrastructure without inheriting the economics and operating model of Big Law.
What’s next
Fearn’s ambition goes beyond drafting patents faster. It wants to give startups the kind of portfolio strategy once reserved for companies with large in-house IP teams and seven-figure outside-counsel budgets. The company is extending FearnOS across patent families, international filings, office actions and long-term portfolio strategy, so founders can see what protects each product, where coverage is weak and what should be filed next.
The end goal is simple: give a three-person startup the patent infrastructure of a much larger company, so the strength of its IP depends more on what it invented than what it can afford to spend protecting it.
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This entry was posted on September 23, 2026 at 8:48 am and is filed under Commentary with tags Fearn. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.