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What if the next valuable invention is already unfolding in your team, but nobody has recognized it?
Recall the recent University of Texas at Austin invention?
Researchers were working on a technical problem, i.e., how to selectively extract rare earth elements. Their work eventually led to membrane technology that could separate these critical minerals from waste.
The technology was later licensed and became the basis for a startup focused on recovering rare earth minerals from industrial and electronic waste.
Now look at this through the lens of invention harvesting.
Their valuable invention was not sitting in a folder labeled “invention.”
It was embedded in research.
The researchers experimenting, developing new materials, testing membrane structures and solving technical problems. Somewhere in that work, there was a potentially valuable invention.
That is what invention harvesting solves.
Researchers do not always recognize when a technical result has crossed the line from “interesting research” to “potential invention.”
Meanwhile, the invention signal may be sitting inside the inventor’s notebook, experiment, research paper, prototype, thesis or project discussion.
Invention harvesting changes the direction of that process.
Instead of waiting for the researcher to recognize the IP-worthy invention and disclose it, the organization actively looks for signals across the research and development process.
“How do we make sure we are not missing inventions that nobody thought to submit?”
That is the fundamental idea behind invention harvesting.
But finding these signals is only the first part of the problem. If invention harvesting is not simply asking researchers to submit more disclosures, then what exactly does the process involve?
What is invention harvesting, really?
Invention harvesting is the proactive process of pulling ideas and identifying potentially valuable inventions before they enter the formal invention disclosure and patent workflow.
The terms invention capture, invention mining, and invention discovery are also used for similar work. But the idea is the same: look beyond submitted invention disclosures and find potential inventions in the technical work people are already doing.
That means talking with engineers about a new solution, reviewing R&D projects, running invention workshops, or spotting an inventive step in a problem that a team has already solved.
This is not a new IP practice.
In-house counsel, patent attorneys, and IP teams have used proactive invention harvesting for years to uncover inventions that may not reach the IP team through a standard disclosure process.
The gap between technical work and formal disclosure is where invention harvesting matters most.
Invention harvesting vs. invention disclosure: they’re not the same job
Invention harvesting and invention disclosure sit at different points in the IP process.
Harvesting starts with the work. An engineer may have solved a technical problem, found a new workaround, changed a process, or discovered an unexpected result without thinking of it as a patentable invention. The job of harvesting is to surface those signals and give the IP team a chance to explore them.
Disclosure starts once there is a recognized invention worth documenting. The inventor provides the technical details, context, and supporting information the IP team needs to evaluate the invention and decide what happens next.
| Invention harvesting | Invention disclosure | |
| Purpose | Find potential invention signals | Document a developed invention |
| Timing | Earlier | Later |
| Starting point | Technical work, ideas, problems, or unexpected results | A recognized invention |
| Participants | R&D + IP | Inventor + IP |
| Output | Candidate invention signal | Decision-ready disclosure |
| Key risk | Noise and review backlog | Missing or poor information |
That difference changes how an IP team should think about its invention capture process.
A disclosure form asks an inventor to explain something they already recognize as an invention. Harvesting asks the IP team to look for inventive work before that recognition happens.
The two processes can work together.
If your company receives plenty of invention disclosures, that tells you something about the later stages of the pipeline. It doesn’t tell you how many potentially valuable inventions never reached the disclosure stage in the first place.
That upstream gap is where an invention harvesting strategy becomes useful.
Why is invention harvesting suddenly getting attention?
Invention harvesting has been around for years. What has changed is the environment around it.
R&D teams generate more technical material, more of that work lives outside formal IP systems, and patent teams are under pressure to make better decisions with limited time. At the same time, AI has made it more practical to work with some of the unstructured information that used to be difficult to capture.
Four changes are pushing invention harvesting back into the conversation.
1. Innovation doesn’t happen inside the IP workflow
IP processes are structured unlike R&D.
A patent team may work with invention disclosure forms, review committees, patent databases, filing systems, and defined approval stages. Engineers and researchers work through experiments, prototypes, failed approaches, technical discussions, product reviews, project documents, and problems that need solving.
The inventive part of that work can appear long before anyone opens an invention disclosure form.
That creates an upstream visibility problem. The IP team may only see the work after someone has recognized it as an invention and decided to report it.
Traditional harvesting has tried to close this gap through inventor interviews, technical reviews, workshops, and relationships between IP and R&D.
Those methods still matter. The challenge is reaching the right people and technical work consistently across a large organization. IPWatchdog described invention harvesting in 2025 as a process that still remains highly manual when a small patent team needs to work across a large enterprise.
2. More invention signals are buried inside everyday work
The raw material for invention harvesting rarely arrives neatly labeled “potential invention.”
Recent patent-industry commentary is putting more attention on this problem. One 2026 example describes invention-related information spread across presentations, lab notebooks, email, partial disclosure forms, diagrams, and screenshots rather than a single structured disclosure.
That changes the scale of the problem.
If an IP team only looks at submitted disclosures, it is looking at the part of the innovation process that has already been filtered by the inventor.
Harvesting moves the point of observation earlier.
3. AI makes upstream capture more feasible
AI didn’t create invention harvesting. It changes what a harvesting program can realistically attempt.
A human IP team cannot read every engineering document, follow every technical discussion, connect related work across projects, and ask follow-up questions about every possible invention signal.
AI systems can help with parts of that work. Depending on how they are designed and what data they can access, they can:
- organize unstructured technical information
- identify information that may warrant IP attention
- connect related pieces of work
- surface missing details and generate follow-up questions
- turn rough technical material into a more structured starting point for review
The patent industry is already discussing these applications.
The useful question isn’t whether AI can replace the IP team’s judgment. It can’t.
It is whether AI can help the team see more of the technical work that deserves human attention.
4. Patent teams are being asked to do more with the same resources
Invention harvesting also fits into a broader operating problem.
Corporate IP teams are being asked to improve filing decisions, portfolio quality, speed, and business alignment while controlling cost. That makes invention harvesting an operating question, not just an innovation exercise.
A larger pipeline of raw ideas does not automatically help an IP team. If every new signal becomes another item for an attorney to investigate, the team can create a review backlog instead of finding more value.
So, you must aim to improve the flow from technical work to informed IP decisions.
That means finding useful signals earlier, giving them enough context to evaluate, and filtering them before they consume significant legal resources.
This is also why the current conversation around invention harvesting is moving towards whether the IP team can see enough of the company’s technical work to know what it is missing.
Does your IP team actually need invention harvesting?
Before adding another process, you must figure out where inventions are getting lost today. The problem may sit upstream of your disclosure workflow, or it may sit much later in evaluation and portfolio strategy.
You probably have an upstream capture problem if:
- R&D is growing, but invention disclosures are not.
- Inventors submit disclosures mainly when attorneys or IP managers chase them.
- Disclosures arrive close to product launches, major releases, or commercialization decisions.
- Attorneys frequently have to reconstruct the invention from conversations, documents, or technical material.
- The same technical teams repeatedly generate filings while other R&D groups rarely appear in the IP pipeline.
- Engineers are unsure what kind of technical work should trigger an IP conversation.
- Important technical decisions and problem-solving happen outside formal innovation programs.
- Disclosure volume depends heavily on individual relationships between attorneys and specific R&D teams.
These signs point to a visibility problem. The company may be generating valuable technical work, but the IP team has limited visibility into it until someone decides to submit a disclosure.
The invention harvesting approach will help bring that conversation earlier.
You may not need a major harvesting program if:
- Inventor engagement is already strong across the relevant R&D groups.
- Attorneys and IP managers have regular, productive interaction with technical teams.
- Disclosures arrive early enough to support meaningful IP decisions.
- The existing review queue is already overloaded.
- Your current process produces strong invention signals and useful disclosures.
- The bigger problem is evaluation, prioritization, or portfolio strategy rather than capture.
That last point matters.
A company can have plenty of invention signals and still struggle to turn them into a strong IP portfolio.
If the pipeline is already full, adding more harvesting can increase the workload without improving the outcome.
The diagnosis should come before the solution:
| What you are seeing | Where to investigate |
| Too few disclosures | Capture |
| Poor-quality disclosures | Enrichment |
| Disclosures arriving too late | Timing and R&D engagement |
| Too many weak candidates | Triage and evaluation |
| Review backlog | Evaluation capacity |
| Strong disclosures but weak portfolio outcomes | Portfolio strategy |
| Uneven participation across R&D | Coverage and engagement |
This gives an IP team a more useful starting point than asking, “Should we start an invention harvesting program?”
The bigger shift is from disclosure-centric IP management to invention-centric IP management
Most corporate IP processes are built around the invention disclosure.
An inventor recognizes something as an invention, submits it, and the IP team evaluates it. The process is clear, familiar, and easy to manage.
The weakness is that recognition happens on the inventor’s side of the process.
An engineer has to notice that a technical solution may have IP value. They have to know that it is worth raising with IP. They have to remember to do it, find the right channel, and provide enough information for someone else to evaluate it.
That creates a blind spot.
A company can have a strong disclosure process and still have limited visibility into the inventions being developed across R&D.
Invention harvesting moves the process upstream. But it can go one step further.
Not all invention harvesting has to be reactive. Some of it can be deliberately pulled from the organization around problems that matter.
From pushing disclosures to pulling invention
There are two ways an organization can surface inventions.
The first is push.
- Technical work happens
- Someone recognizes an invention
- The inventor submits a disclosure
- IP evaluates it
This is the traditional model. It depends on invention recognition happening naturally inside the R&D process.
The second is pull.
The organization identifies a problem, technical challenge, emerging opportunity, or strategic area where it wants new solutions. It deliberately asks people across the organization to contribute ideas and approaches. Some of those responses may reveal technical solutions that have invention potential.
- Problem or opportunity
- Run a challenge
- Ideas and technical approaches
- Invention signals
- Development
- Evaluation
- Disclosure
This changes the role of invention harvesting.
Invention harvesting is not the same as collecting disclosures
The purpose of invention harvesting is to increase the organization’s ability to surface potentially valuable invention signals earlier and around the areas that matter.
This in turn leads to generating more submissions and increasing disclosure volume.
But invention signals can come from different directions.
An inventor might capture an incomplete idea in an Inventor’s Notebook.
A team might respond to an Innovation Challenge focused on a technical problem, business opportunity, or strategic technology.
An IP professional might identify related work across teams and bring the inventors together.
Researchers might have an unexpected experimental result that has not yet been developed into a formal invention.
A technical workaround might solve a problem in one project but have applications elsewhere in the organization.
None of these necessarily starts as a completed invention disclosure.
That is the point.
The organization needs a way to capture the signal before deciding whether it deserves to become a formal invention.
And a mature invention-centric process can therefore combine pull and push.
An Innovation Challenge is one way to do this
For InspireIP, that means Innovation Challenges are not a separate innovation activity sitting outside the IP process.
They can be one of the mechanisms through which an organization pulls invention signals out of the business around the problems it most wants to solve.
For example, instead of waiting for an engineer to independently recognize that a new approach to a manufacturing problem could have IP value, an organization could pose the problem to relevant teams.
How can we reduce this failure rate without changing the core manufacturing process?
The responses may include experiments, workarounds, process changes, technical concepts, or entirely new approaches. Not all of them will be inventions. But some may contain the technical signals that warrant further exploration.
That is where invention harvesting begins.
The challenge has effectively pulled invention signals toward a problem that the organization already considers important.
An early idea does not have to become a disclosure immediately.
The organization can capture it, develop it, connect it to supporting information, determine whether it is genuinely new or differentiated, and then decide whether it warrants formal IP review.
That creates a more continuous path:
- Problem or opportunity
- Pull innovation through a challenge
- Capture invention signals
- Develop and enrich
- Evaluate
- Formal invention disclosure
- IP decision
At the same time, inventions that emerge naturally from R&D can enter the same pipeline through an Inventor’s Notebook or another capture mechanism.
The important shift is that the disclosure is no longer the starting point of the IP process. It is one possible destination within a broader invention pipeline.
Start with the gap
Before buying invention harvesting software or launching a formal invention harvesting program, trace how technical work becomes an invention disclosure in your organization.
Take a recent disclosure and work backwards.
- Where did the underlying technical problem first appear?
- When did someone realize the solution might have broader value?
- How did that information reach the IP team?
- What information was missing?
- How much work did an attorney or patent professional have to do to reconstruct the story?
Then look at the paths that never became disclosures.
You may find a promising technical workaround that stayed inside one project. You may also find important problems that the organization has been trying to solve without a deliberate mechanism for pulling ideas from the wider R&D community.
These are different gaps, but they point to the same underlying issue:
The organization does not have enough visibility into where potentially valuable invention is emerging.
That is what an invention-centric process is designed to address.
What should you measure?
Once the process moves upstream, disclosure volume becomes a poor standalone measure.
A team could increase disclosures by making the form easier to complete, running more campaigns, or asking attorneys to chase more inventors. None of those changes tells you whether the organization is seeing more of the innovation that matters.
Measure the pipeline at each stage.
| Dimension | What to measure | What it reveals |
| Coverage | R&D teams participating, technical areas represented, invention signals captured | How much of the organization’s technical activity is visible to IP |
| Pull activity | Challenges launched, participation, problems addressed, invention signals generated | Whether the organization is deliberately surfacing innovation around priority problems |
| Conversion | Signals that progress to enrichment, evaluation, and disclosure | Whether early capture is producing candidates worth pursuing |
| Quality | Completeness of disclosures, technical context available, duplicate or related signals | Whether IP receives useful material for review |
| Speed | Signal to disclosure, disclosure to decision, decision to filing | Where the process is slowing down |
| Strategic relevance | Connection to priority technologies, product roadmaps, competitive areas, and business goals | Whether the pipeline is producing inventions that matter to the portfolio |
It is a better view of where invention is happening and a deliberate way to pull more invention toward the problems and technologies that matter most.
That is the practical meaning of invention-centric IP management: do not wait for every valuable invention to arrive as a completed disclosure. Create ways to surface it, pull it out of the organization, develop it, and give IP enough visibility to decide what deserves attention.
Frequently Asked Questions
Is invention harvesting new?
No. Corporate IP teams and patent counsel have used invention harvesting, invention mining, and invention capture for years.
What has changed is the amount of technical work happening outside formal IP workflows and the ability to identify and work with those early invention signals at scale.
Is invention harvesting the same as invention disclosure?
No. Invention harvesting looks for potential inventions before they enter the formal disclosure process.
An invention disclosure records a sufficiently developed invention so the IP team can evaluate it and decide what happens next.
Harvesting feeds the disclosure process. It does not replace it.
Does every harvested idea become an invention disclosure?
No. A healthy harvesting process should produce more candidate signals than formal disclosures.
Many early signals will turn out to be incomplete, duplicated, low-value, unrelated to the company’s IP strategy, or simply not worth pursuing. Triage and evaluation filter those signals before they create more work for the IP team.
Should every company implement invention harvesting?
No. Start by finding out whether your current process is actually losing invention signals before formal disclosure.
If R&D engagement is strong, disclosures arrive early, and the IP team has good visibility into relevant technical work, a large harvesting program may add more review volume without solving a real problem.
If valuable technical work routinely stays outside the IP process, invention harvesting may be worth exploring.
What is the difference between invention harvesting and invention capture?
The terms are often used interchangeably, but they can describe slightly different parts of the same upstream process.
Invention harvesting usually refers to the broader effort to identify potential inventions. Invention capture focuses on recording those early signals so they can be developed, evaluated, and, when appropriate, turned into formal disclosures.
Can AI be used for invention harvesting?
Yes. AI can help organize unstructured technical information, surface potential invention signals, connect related information, ask follow-up questions, and turn rough inputs into structured material for human review.
It does not remove the need for IP judgment. The IP team still decides whether a signal represents a meaningful invention and what action it deserves.
