Resources
Essential frameworks, guides, and tools for navigating innovation,
creativity, and ownership in the AI era.
Looking for fill-in worksheets? Browse the Document Templates hub, disclosure forms for inventors, plus §101/§103 work-aids for practitioners.
Patent Representation Index
A composite score ranking 91 tech companies on how well they translate women's technical work into patent inventorship. Built from BigQuery patent data and government EEO-1 workforce filings. Five sub-indices, weighted, normalized 0-100.
See the RankingsWhy Most Software Patents Start Too Late
The entire patent industry assumes someone already knows they have an invention. For software engineers, that assumption is almost always wrong. The gap is not the filing process. It is the discovery step.
Read the GuideWhat Is Patent Mining?
Patent mining extracts hidden value from data sources, engineering teams, and codebases. Three definitions, the crypto mining parallel, and how AI changes the discovery step.
Read the GuideThe Patent Gender Gap by the Numbers
Women make up 29% of the STEM workforce but hold 12.8% of U.S. patents. The gap isn't talent. A 9-page research series covering the prosecution funnel, the PNAS 2026 "breakthrough penalty" study, AI patenting, international data, and evidence-based interventions.
Read the SeriesThe PPA as a Stock Option on Your IP
A provisional patent application costs $65-$325 and buys you 12 months. Think of it like a stock option: a small premium for the right to decide later whether to invest fully.
Read the GuidePatent Continuations
A continuation turns one specification into a patent family: new claims, same priority date, no new matter. Why disclosed-but-unclaimed scope can be dedicated to the public, the copendency and term rules, the double-patenting tradeoff, and an honest read on where AI drafting helps.
Read the GuideThe Three-Level Disclosure Framework
Most developers describe what they built. Attorneys need to know what problem it solves. A practical template that combines problem-first structure with three levels of specificity.
Get the FrameworkInvention Disclosure Procedure
Most engineering teams have no procedure for capturing inventions. The gap is not filing. It is recognizing what to file. A 7-step process from recognition through filing.
Read the ProcedureSoftware Patents After Alice
Alice changed the rules, not the game. 58% of software patents still get approved. A guide to what survives, prosecution strategies, and what developers should document.
Read the GuideContinuation Claims
A continuation is a vehicle for adaptive claiming, not adaptive disclosure. What the Federal Circuit permits when claims are drafted with a competitor's product in mind, where the original disclosure caps that reach, and what Kroy did and did not decide about asserting unadjudicated claims after an adverse IPR.
Read the ReferenceBuilding in Public and Patents
The modern way to build software is, by default, the fastest way to disclose an invention before anyone files on it. How a public commit, Show HN post, or open-source release starts the section 102 clock, why the US grace period is a fallback rather than a plan, and why foreign rights close immediately.
Read the GuideSection 101 Declaration Strategy (SMEDs)
The USPTO's April 30, 2026 memo clarifies and reinforces the Subject Matter Eligibility Declaration as a voluntary §101 evidence tool. Practitioner adoption is uneven and the §132(a) new-matter rule constrains what a SMED can do. The evidentiary opportunity lives at the drafting stage, not the prosecution stage.
Read the GuideAI Patent Legal Precedents
A comprehensive guide to how courts and patent offices treat AI-assisted inventions, with authoritative links to USPTO guidance and case law. Understand the legal landscape with plain English explanations of key rulings.
Read the PrecedentsCo-Founder IP: Who Owns What
Two founders build a product. Who owns the patents? Without an assignment agreement, each co-inventor can independently license the invention to your competitor. Without permission. Without sharing a dollar.
Read the GuideAI Patent Discovery and Privilege
GAI use in patent drafting may not enjoy attorney-client privilege (Baker Donelson, May 2026). The risk is real for generic LLM use; structured-disclosure tools with audit trails are categorically different in discovery.
Read the GuideAI Prompts in Federal Discovery (2026)
Magistrate Judge Farrish ordered AI prompts in CLF v. Shell, then was stayed pending Rule 72(a) review. The broader emerging framework distinguishes attorney litigation prompts (often work product), expert prompts (Rule 26(b) methodology), party-side prompts (fact-specific), and consumer-AI use under protective orders.
Read the FrameworkIP Ownership Clauses for Remote Contractors
A remote contractor can write your next core patent before lunch. Without the right cross-border assignment language, they may still own it.
Read the GuideAI Inventorship and Human Conception
Built it with Cursor, Copilot, or Claude Code? Under Thaler v. Vidal and the USPTO's November 2025 revised guidance, only humans can be inventors, even when AI tools materially contribute. A doctrinal walk-through plus a conception note template and practitioner intake checklist.
Read the GuideAGI SureTrack v. Farmers Edge
Federal Circuit, June 2, 2026, precedential. Five farm-equipment data patents fall §101 at Alice step two. Sensor-plus-GPS pattern treated as abstract on generic hardware. Section 285 fee-shifting vacated and remanded.
Read the Case BriefAgentic AI Inventorship: The Open Question
Using Copilot is settled, the human conceives and is the inventor. When an autonomous agent does most of the building on its own, no patent office or court has decided who invents. A frontier map: what's settled globally (human inventor required), what's open, and the conception record to build while it's unsettled.
Read the AnalysisTight Ownership for AI Code Teams
When AI generates most of the code, who conceived the invention? A practical protocol for capturing inventorship evidence before the filing scramble.
Read the ProtocolIP Protection Checklist for Engineers
Your team ships code every day. Some of it is novel enough to patent. Without a checklist, those inventions get published with no filing date and no protection. Five areas, eighteen items.
Get the ChecklistDrafting with Local AI
Patent practice has a sharper version of the AI confidentiality problem. We measured what local drafting costs: a 64 GB machine runs a model 12 points behind the best cloud models, without sending the specification to a provider.
Read the AnalysisAI Patent Risk: 2026 Firm Consensus
Baker Donelson, Hogan Lovells, Kirkland, Alston & Bird, and Arnold & Porter have all published 2026 alerts on AI-drafted patent risk. The consensus on discovery, privilege, work product, and validity, and what it means for prosecution practice.
Read the RoundupIdea Disclosure Template
A free, plain-language form to capture a technical idea, what it is, the problem it solves, how it works, before you take it to a patent attorney. Download the editable Word template.
Get the TemplateWhy Local-First Matters for Patent Discovery
Before you file a patent, your invention is a trade secret. Any AI tool that processes unfiled inventions in the cloud introduces risk across three legal frameworks. Local-first scanning eliminates all three.
Read the GuideCloud AI Leaks: Trade Secrets vs Patents
Pasting code into a cloud AI can jeopardize both trade secret protection and patent eligibility before you knew there was a decision to make. ~1,500 federal trade secret cases filed in 2025. The fix starts before your code touches the cloud.
Read the AnalysisIdea Strength Check
A one-page screen before a full disclosure: the problem, your solution, why it's better, whether anyone's built it, your protection path, and public-disclosure status.
Get the WorksheetPatent Documents and the Cloud
Three legal frameworks govern how pre-filing patent documents can be stored and processed. The risk isn't cloud itself. It's how long your unfiled invention sits on someone else's server.
Read the AnalysisThree Levels of Your Idea
An articulation exercise: describe your invention at three levels, the specific implementation, what it does, and the underlying principle, so you can talk about it precisely with anyone.
Get the WorksheetAI Tool Compliance Checklist
AI adoption among patent professionals is 15% while general legal AI is at 79%. The gap is confidentiality. A structured checklist for evaluating AI tools before they touch client material.
Get the ChecklistAI Agents and Your Intellectual Property
99% of dev teams use AI coding tools. 29% are prepared to secure them. When your agent reads your codebase, where does that code go? The answer has legal consequences.
Read the GuideDisclosure Quality Check
A pre-handoff self-check: enablement detail, limiting language, claim-shaped sentences, figures, inventorship, ownership clarity, and public-disclosure dates, the gaps that weaken a disclosure.
Get the ChecklistIP Ownership in Local-First Sync Engines
Distributed contributors, open-source CRDTs, and cross-border teams create unique IP ownership risks. Learn how to secure clean patent title before it becomes a deal-breaker.
Read the GuideInvention Disclosure Form
A comprehensive, patent-bar-first invention disclosure form: conception date, prior and planned public disclosure, outside collaboration, inventorship, the technical description, and prior-art context.
Get the FormTesla's .smol Patent: What It Actually Claims
Tesla's WO2024073080 describes a hybrid columnar-row file format for ML training data. This analysis walks in-house counsel through the eligibility, prior art, and disclosure risks.
Read the AnalysisSoftware §101 Eligibility Worksheet
An Alice/§101 scaffold for software: name the abstract-idea risk, the technical improvement and its evidence, meaningful integration, real-world effect, and hardware integration points. Practitioner work-aid.
Get the WorksheetNon-Obviousness Worksheet
A §103 scaffold: define PHOSITA, map the prior-art landscape, capture the closest reference combinations, articulate why PHOSITA wouldn't combine them, and record secondary indicia. Practitioner work-aid.
Get the WorksheetProtecting Creativity in the AI Era
A practical guide for artists, developers, and knowledge workers to safeguard their ideas, innovations, and value in an age where AI can absorb everything you create.
Explore the GuideClaim Scope Ladder
A graduated-specificity scaffold: capture the invention at narrow, intermediate, and broad rungs, check disclosure support for each, anchor to the commercial embodiment, and run a design-around self-test.
Get the WorksheetAI+Human Innovation Framework
Innovation has always been a dance of imagination and tools. This framework maps the nine dimensions of innovation, showing how human imagination and AI acceleration can align to expand the frontier of what's possible.
View FrameworkTechnology Discrimination
The patent system may not discriminate against inventions on paper, yet still discriminate among inventors in practice. Access barriers and eligibility skepticism compound for software builders.
Read the AnalysisPatenting AI Agents for Autonomous Payments
Bank of America grew its AI patent portfolio 94% from 2022 to 2024 while most fintech founders are still asking whether their agentic payment system is patentable. A practical guide to what is, what isn't, and where the legal landmines sit.
Read the GuideInvention Discovery in AI-Augmented Sprints
When sprints compress from weeks to days, documentation shrinks with them. Novel solutions get committed, merged, and forgotten. A practical workflow for AI-augmented dev teams to capture inventive work before competitors file first.
Read the Guide