How AI Brings Patent Intelligence Into Every Decision

AI makes it practical to rerun patent intelligence as products and patent rights develop. For example, at concept stage, broad freedom-to-operate screening identifies the rights that merit attention. As the design matures, selected patents are escalated for feature-by-feature claim charts, while scheduled monitoring refreshes the analysis when claims are amended or an application proceeds to grant.

This contrasts with the traditional approach, in which landscapes, FTO reviews, and portfolio analyses were commissioned as separate projects at fixed stages. Each took substantial time to complete and was rarely repeated.

How AI Brings Patent Intelligence Into Every Decision

Key takeaways

  • AI refreshes patent landscapes as products and competitor portfolios evolve, feeding current evidence into R&D allocation instead of a one-off pre-filing report.
  • AI turns FTO into a staged process, from broad screening at the product concept stage to feature-by-feature claim analysis as the product design matures.
  • Scheduled AI monitoring triggers a refreshed landscape, FTO, or invalidity analysis when a family member publishes, claims are amended, or an application is granted.
  • AI maps large portfolios to company and competitor products, exposing filing gaps, licensing opportunities, and enforcement targets.

Patent landscapes are moving into the R&D allocation process

A patent landscape is an analysis of patents and published patent applications in a defined technology area. It typically identifies leading applicants, filing trends, geographical coverage, technical clusters and potential white space. Conventionally, the analysis culminates in a one-off static report that may not be revisited when R&D priorities and budgets are set.

When conducted early enough to inform product development, a patent landscape can influence product design by revealing where competitors are concentrating their claims and which technical approaches remain less crowded.

The findings can guide further searching, identify where the team may need to design around existing rights, and help prioritise R&D investment. The landscape can then be refreshed as the product changes or new patent applications are published. This keeps the results of the search relevant throughout the R&D programme.

How Solve Intelligence brings landscape analysis into R&D

In Solve Intelligence, Charts and reusable templates provide the structure for this ongoing analysis. For example, teams can customise a template for competitive landscape & white space analysis around a particular R&D programme. They can define the field from a technical description or uploaded file and inspect the patents behind each finding. Results can be organised by assignee, jurisdiction, or technical field.

Automated tasks can then be scheduled within Solve Intelligence to rerun the analysis at set intervals or when a new competitor application is published. This keeps the landscape current as portfolios change and helps R&D teams decide where to focus their resources. 

FTO now starts while engineers can still change the design

An FTO analysis assesses whether commercialising a product in a particular market may infringe third-party patent rights. It has often been concentrated near launch, after the design, suppliers and launch markets have largely been fixed. At that stage, a material risk can mean redesign, delay or a licence negotiation.

Just as with patent landscaping, AI is transforming how freedom-to-operate projects are conducted by making it possible to rerun the analysis at different stages as new product and patent information becomes available.

AI makes it practical to match the depth of FTO analysis to the corresponding stage of product development. For instance, at the concept stage, the priority is broad coverage. A first FTO pass can review a large result set, consolidate related families, and filter by jurisdiction and current legal status. An initial analysis can then compare the identified independent claims with available product information and produce a shortlist of potentially relevant patents in the technical area.

The patents on the shortlist can be categorised by level of risk, helping the team decide which patents to deprioritise, monitor, or examine in depth. As the design matures, selected patents can be assessed through feature-by-feature claim charts using more formalised product specifications. This review can address claim construction, prosecution history, and equivalents in each launch market.

At each stage, the AI analysis can inform potential design-arounds. Larger product or commercialisation strategy changes may remain possible early in development, with smaller adjustments made nearer to launch. 

How Solve Intelligence supports staged FTO

In Solve Intelligence, Charts support the same progression of FTO analysis. Solve Intelligence can run broad multi-patent analyses and produce detailed, feature-by-feature claim charts, while automatically pulling in relevant prosecution histories and accounting for jurisdiction-specific practices. The analyses can be updated with more detailed product evidence as the design develops.

Users can also schedule automated tasks to monitor relevant applications as they progress through prosecution. Solve Intelligence can then rerun the analysis when claims are amended, continuation or divisional applications are filed, or applications proceed to grant. The updated analysis supports decisions on redesign, licensing or further invalidity work. This can help teams decide whether to submit third-party observations during prosecution or seek to invalidate a granted patent.

Monitoring creates value when it triggers analysis

Most large patent teams already monitor patent portfolios and receive alerts for publications, grants, assignments, oppositions, and lapses. However, an alert only becomes useful when it is tied to a product, R&D, or portfolio decision. Conventional alerts identify the event but do not assess its business significance; making that connection requires separate manual analysis.

AI changes what happens after the alert. It can retrieve the relevant patent family and prosecution history, assess the latest developments on both the patent application and any corresponding product, and rerun the landscape or FTO analysis linked to the monitoring task. The team then receives an update tied to the product line, R&D programme or investment decision that prompted the monitoring.

The EPO’s nine-month opposition period is an example of a situation where AI monitoring can support a time-sensitive decision. An EPO opposition must be filed within nine months of publication of the mention of grant. AI can manage this deadline and set up a monitoring task that can detect the mention of grant, retrieve the patent family and prosecution history, run an automated prior-art search and generate an initial claim chart identifying possible grounds for challenging the patent.

Completing this first-pass analysis promptly gives the IP team more time to decide whether an opposition is commercially and legally justified. It reduces the risk of a rushed decision or the need to pursue revocation later through separate national proceedings.

The same workflow applies to other monitored events. Amended claims can trigger an updated FTO screen. A newly published family member can trigger a landscape refresh, while a new assignment can prompt a competitor portfolio review. AI can filter routine changes and rerun the relevant analysis for material ones. The update shows how the new event affects the previous assessment and includes supporting sources and any applicable deadline.

How Solve Intelligence connects monitoring to claim analysis

Solve Intelligence connects directly to patent-office registers, allowing scheduled tasks to run automatically when an alert is detected. A grant or claim amendment can trigger retrieval of the patent family and prosecution history, an agentic prior-art search and an initial invalidity claim chart.

The initial analysis can then be developed further within Solve Intelligence into a full opposition or other invalidity filing. This allows the team to move from monitoring the relevant right to deciding on and preparing the appropriate action within the same workflow.

Global portfolios have to be measured against the business they protect

Portfolio reviews have often focused on filing and grant numbers, family size, citations, maintenance costs, and geographical coverage. These measures provide a useful administrative view of the portfolio.

Reviewing individual claims against product features is difficult to perform manually across large patent portfolios, particularly when the analysis must be refreshed regularly.

AI allows teams to go beyond the administrative view and conduct detailed analysis across thousands of patents. Claims can be mapped to the company’s products and technical roadmap to show which commercial features are protected and where coverage is limited. The same analysis can be applied to competitor products to identify potential infringement and licensing opportunities, helping the company monetise its portfolio.

The findings can reveal gaps for new filings and guide continuation or divisional strategies. They can also support decisions on maintenance, acquisitions, enforcement priorities, licensing strategy and geographical coverage.

How Solve Intelligence supports deeper portfolio analysis

In Solve Intelligence Charts, teams can analyse large portfolios using their own product categories, technical classifications, and business criteria. They can map claims to their own or competitor products, identify gaps in coverage and compare protection across jurisdictions.

Users can review the claim language and product evidence behind each mapping using clickable citations. Reusable templates allow the same analysis to be rerun for regular portfolio reviews, new products, transactions or licensing exercises.

The product evidence used in these mappings may include unpublished technical and commercial information. More than 700 IP teams trust Solve Intelligence for these workflows. The Solve Intelligence Trust Centre details the platform’s SOC 2 Type II and ISO 27001 certifications, data-governance controls and subprocessors. It also confirms that customer data is excluded from model training.

AI changes where patent attorneys spend their time

AI can complete a first pass analysis across thousands of patents, consolidating families, filtering by legal status and mapping claims to product features. This gives patent attorneys a focused set of rights for detailed review.

Attorney time can then instead be spent on decisions that affect the business: whether to change a design, seek a licence, file an opposition, pursue revocation or commission a formal FTO opinion.

In-house teams can keep the analysis current as products and patent rights change. When further advice is needed, external counsel can begin with the relevant patents, product evidence and initial claim mappings already assembled.

Solve Intelligence keeps these workflows connected in one place. If your team is rethinking how patent intelligence supports R&D, product or portfolio strategy, request a demo or contact us at partnerships@solveintelligence.com to compare workflows.

AI for patents.

Be 50%+ more productive. Join thousands of legal professionals around the world using Solve’s Patent Copilot™ for drafting, prosecution, invention harvesting, and more.

Frequently Asked Questions

How is scheduled patent intelligence different from a conventional patent watch?

A conventional patent watch reports that a publication, claim amendment, grant or other event has occurred. Scheduled patent intelligence uses that event to rerun the relevant landscape, FTO or invalidity analysis, showing whether the change affects a product, R&D programme or portfolio decision.

Why use purpose-built patent AI rather than a general-purpose AI tool?

Patent intelligence depends on patent search, family and legal-status data, prosecution histories, claim-level analysis and patent-office events. A purpose-built platform brings these sources together, rather than requiring users to collect and upload each document before beginning the analysis as would be necessary with a general-purpose AI tool.

Can AI analyse an entire portfolio as well as individual claims?

Yes. AI can group related members of the same patent family and filter them by jurisdiction and legal status. It can then map large result sets to products or technical categories. Selected patents can move into in-depth feature-by-feature claim charts, FTO, product mapping, or invalidity analysis.

Does AI patent intelligence stop at identifying relevant patents?

No. An initial finding can be developed into a detailed FTO analysis, design-around assessment, invalidity claim chart, opposition, or other invalidity filing. The patents, product evidence, prior art, and sources remain connected as the work moves from monitoring to action.

How does staged FTO analysis differ from a formal FTO opinion?

Staged FTO is an ongoing screening process that begins before the product design is fixed. It identifies potentially relevant patents, highlights features that may require a design change and determines which rights need monitoring or detailed review. A formal FTO opinion is a jurisdiction-specific legal assessment of a defined product against the patent rights that remain relevant.

What information is needed to start an AI-assisted landscape or FTO analysis?

An initial analysis can begin with a short technical description, product roadmap, early design document, or details of known patents and competitors. As the product develops, the team can add formal specifications, drawings, test data, and intended launch jurisdictions. The analysis can then progress from broad searching and screening to product mapping and feature-by-feature claim charts.

Related articles

Automated Patent Proofreading: QA Framework for §112

The final review before a U.S. patent filing should not be another linear read-through. Rather, it should be a controlled quality-assurance step: a systematic check of the relationships among the claims, specification, and drawings while the full range of corrective options is still available.

Done well, pre-filing QA catches errors that are inexpensive to fix at the drafting desk but costly after filing. Done poorly, it can leave the applicant facing an avoidable rejection, a narrowing amendment, a priority problem, or a validity challenge years later.

Key Takeaways:

  • Pre-filing is the best time to correct disclosure, claim, and drawing defects without creating new-matter or priority complications.
  • Antecedent basis gaps, contradictory claim dependencies, and terminology drift are the most common pre-filing defects, and all are correctable before filing.
  • Section 112(a) review is substantive, not clerical: a broad range or functional limitation may warrant scrutiny even when the claim reads cleanly.
  • Automated patent proofreading identifies candidate defects for attorney review but does not substitute for legal judgment on claim scope, support, or strategy.

Solve Intelligence × iManage: Solve’s Patent Workflows and AI agents seamlessly integrated with your Firm’s Intelligence

Patent attorneys can now directly connect with iManage into Solve Intelligence’s platform, further streamlining your patent workflows.

The best patent applications are built from deep context. Claim sets that hold up, specifications that anticipate rejections and objections, arguments that resonate with examiners and legal and IP decisions that align with business and client needs. All of this depends on the attorney having the right materials at the right time. That's why we integrated Solve Intelligence directly with iManage.

iManage is where IP practices and firm intelligence lives. It's the document management platform trusted by thousands of legal organizations globally, where client disclosures land, where prosecution histories are stored, where the institutional knowledge of a firm accumulates over years. Now, that knowledge is directly accessible inside Solve.

How to Draft Patent Figures with Solve Intelligence

Solve’s Figure Builder is the integrated environment within the Solve platform where you can generate, edit, label and refine figures. It brings figures into the drafting process, alongside claim and specification drafting so consistency, and compliance with 37 CFR §1.84, is maintained across your application from the very first sketch to the version you file.

Key Takeaways:

  • Create, edit and finalize figures for your patent filings, both manually and with AI assistance.
  • Bring figure management into the heart of the drafting process to ensure you have the figures you need, when you need them.
  • Propagate changes in terminology and reference numerals across your whole application with ease.
  • Convert disclosure documents or claims into labelled line drawings in a single session, and then use them as the basis for your detailed description.

Bree Vculek Joins Solve

We're delighted to welcome Bree Vculek to Solve Intelligence as our newest Legal and Product Engineer.