The San Francisco startup trying to run intellectual property without the billable hour.
Here is a thing that is true about intellectual property, and that almost nobody outside of it enjoys thinking about: it runs on the billable hour. A company invents something, and then a law firm charges it, by the fraction of an hour, to write the invention down in the specific and slightly baroque language that a patent office requires. This works fine, in the sense that patents get filed. It works badly, in the sense that the cost of filing scales with lawyer time rather than with the value of the idea, and so the people who manage IP inside companies spend a lot of their day approving invoices instead of thinking about strategy.
Tradespace, founded in San Francisco in 2019, looked at that arrangement and decided the invoice was the problem. Its pitch is an end-to-end, AI-powered platform for the whole IP lifecycle - capturing inventions out of Slack and Gmail, drafting the patent, shepherding it through prosecution, managing the resulting portfolio, and then trying to license it for money. The idea is that in-house teams can run a real IP function without paying law-firm rates for every step, and that software plus a smaller number of supervising attorneys can do most of the work that a whole firm used to bill for.
That is a large claim, and it is worth noticing that the people making it are not disinterested. But the traction is real enough to take seriously: the platform manages more than 440,000 patents for over 80 organizations, a group that reportedly includes Fortune 500 technology companies and roughly three-quarters of the top research universities in the United States. In January 2026 the company raised a $15 million Series A led by AVP, which brought its total funding to about $19.4 million.
Before Tradespace, CEO Alec Sorensen worked in M&A consulting and then ran the IP commercialization practice at Avascent, an aerospace-and-defense consulting firm. That job put him inside the patent portfolios of companies like Raytheon, Lockheed Martin and IBM, and by his own account he generated more than $250 million in IP monetization deals. It is useful work, and it taught him something specific and slightly deflating: companies kept careful records of the patents they owned, but almost no record of why they owned them - the decisions, the reasoning, the strategy behind each filing had evaporated.
A patent portfolio, in other words, tends to be a list without a memory. Sorensen co-founded Tradespace with CTO Kapil Israni to attack exactly that gap: the massive, unstructured, badly-organized dataset that is a company's own IP. The two frame the mission in the language every in-house team wants to hear at budget season - turning IP departments from cost centers into value drivers.
Came to IP through M&A consulting and ran IP commercialization at Avascent, where he generated over $250M in monetization deals for Fortune 500 companies. Started Tradespace to give portfolios the context they lose.
The technical co-founder, focused on the hard part - wrangling the massive unstructured datasets inside a company's IP into something software can reason about, including a 70-billion-parameter model trained on IP data.
Tradespace organizes itself around the life of a patent, from the moment someone has an idea to the moment that idea makes money. The tagline - "file patents at the speed of innovation" - is marketing, but the four-stage structure underneath it is a genuinely tidy way to think about IP.
Integrates with Slack, Gmail and Notion to catch inventions as R&D teams describe them, then uses AI to generate the disclosure. Clients report a 40% increase in invention disclosures.
AI-assisted patent drafting with senior IP attorneys and flat-fee prosecution, compressing time-to-file from weeks to days and, per the company, cutting outside-counsel spend in half.
Maps patents to products and revenue so teams can see what a portfolio is actually worth, and decide what to keep, prune or renew - the context Sorensen found missing.
AI-powered identification of licensing opportunities and evidence-of-use, plus campaign support, aimed at turning a legal record into revenue a company can forecast.
The fastest way to complete a platform is sometimes to buy the missing piece, and in November 2025 Tradespace did exactly that, acquiring Paragon - a patent-drafting AI startup built by three Princeton computer science students. The reason Paragon mattered is the reason most AI legal tools make attorneys nervous: it generates drafts with full traceability back to source materials, and its agents keep a human in control at every decision point, with verification checkpoints along the way. That is the difference between an AI that writes a plausible patent and one a lawyer will actually sign.
Paragon's CEO and co-founder, AbdurRahman Bhatti, joined Tradespace as Head of Product for patent drafting. With the technology folded in, the company said it plans to draft 10,000 patents through the platform within 18 months - a number that is either ambitious or telling, depending on how you feel about AI writing legal documents.
"The traditional IP law firm model is broken."
Alec Sorensen, CEO"They want to be strategic architects, not invoice approvers."
Manish Agarwal, AVP"Companies kept a record of their patents, but almost no context on the decisions behind them."
Alec Sorensen, CEOAlec Sorensen and Kapil Israni start the company in San Francisco to bring structure and strategy to IP portfolios.
Raises roughly $4.2M and launches its IP management platform for in-house teams.
Named to BCV and Headline's Top 50 Vertical SaaS Startups list.
Buys the Princeton-founded AI patent-drafting startup, becoming an end-to-end IP lifecycle platform.
Raises a Series A led by AVP, with Eniac, Amplo and Scrum participating, to scale the platform.
Before founding the company, Sorensen generated over $250M in IP monetization deals for firms like Raytheon and Lockheed Martin.
Paragon, the drafting AI Tradespace acquired, was built by three Princeton computer science students.
The company trained a 70-billion-parameter language model on one of the largest datasets of open and proprietary IP data.
Roughly 75% of top US research universities run some IP work through the platform.
It offers an AI-powered platform that manages the full IP lifecycle - invention capture, patent drafting, prosecution, portfolio management and commercialization - as an alternative to traditional law-firm billing.
It was founded in 2019 by CEO Alec Sorensen and CTO Kapil Israni.
About $19.4M total, including a $15M Series A led by AVP in January 2026 and an earlier seed round of roughly $4.2M.
In-house IP teams at corporations, universities and labs. It manages 440,000+ patents across 80+ organizations, including Fortune 500 companies and about 75% of top US research universities.
In November 2025 Tradespace acquired Paragon, a patent-drafting AI startup founded by three Princeton computer science students, to complete its platform and scale AI patent drafting.