Introducing Solve Review: A Practical Guide to AI-Powered Patent Review

Patent drafting doesn’t end when the first draft is complete. In many ways, the most important work begins at review.

Jurisdictional compliance, internal style alignment, claim clarity, sufficiency of disclosure, and formal requirements. Each aspect of drafting applications must be carefully checked before filing. Yet a thorough review is time-intensive, difficult to standardize, and hard to scale across teams and large portfolios, especially when up against a tight deadline.

Enter Solve Review

With Solve Review, practitioners can run structured, customizable AI-powered reviews in minutes rather than hours, while maintaining transparency, collaboration, and full control over the output. 

Teams using Solve Review report dramatically, with multi-pass manual reviews that previously took three to four hours completing in a fraction of the time

Key benefits

  • AI-powered patent reviews in minutes
  • Each review is fully customizable
  • Save your reviews as templates, run multiple reviews per application
  • Full transparency of working out and results
  • Resolve issues detected by Solve Review with AI
Introducing Solve Review: A Practical Guide to AI-Powered Patent Review

Why patent review is difficult to scale

High-quality patent review requires legal judgment, technical understanding, and procedural and commercial awareness. But several structural challenges make it difficult to perform consistently and efficiently.

Jurisdictional complexity 

Patent applications must comply with detailed and evolving legal frameworks such as the MPEP in the United States or the EPO Guidelines in Europe. Requirements differ across jurisdictions, making manual review increasingly complex for filings destined for global coverage. Even experienced practitioners must actively cross-reference guidance to ensure compliance.

Inconsistent internal standards 

Firms and in-house teams often maintain internal drafting conventions, including preferred terminology, claim formats, structural templates, and stylistic rules. However, these standards are rarely embedded directly into review systems. As a result, consistency and quality depends heavily on individual reviewers.

Collaboration friction 

Applications frequently move between inventors, in-house counsel, and outside firms. Each stakeholder may apply slightly different review criteria. Aligning expectations can slow down the filing process.

Training and knowledge transfer 

Junior practitioners must learn both formal legal requirements and firm-specific drafting practices. Without structured feedback systems, training can be inconsistent and difficult to scale. This also increases senior attorney time spent on training and reviewing junior work product.

Volume pressure 

Modern patent portfolios can include hundreds or thousands of filings across multiple jurisdictions. Manual review of every application at the same level of rigor is economically challenging.

How Solve Review builds structured review workflows

We built Solve Review to address these challenges and bring structure, repeatability, and intelligence to the patent review process. Here’s how it works in practice:

Step 1: Configure your review

Solve Review allows you to define exactly what you want the AI to assess. Reviews can be customized by technical field, jurisdiction (e.g., US, EP), practice group style, and internal drafting rules. Custom instructions can be saved to your Instructions Library, allowing reuse across future projects.

Step 2: Integrate reviews into templates

Review configurations can be embedded directly into drafting templates. This means that every application created from a template automatically inherits your preferred review configuration. Teams can share templates internally, and collaborate on templates between outside and in house counsel, ensuring that quality control begins at the drafting stage rather than after the fact.

Step 3: Run legal and compliance reviews

Solve Review assesses applications against jurisdictional frameworks including the MPEP and the EPO Guidelines. Rather than requiring practitioners to manually cross-reference these documents, the AI automatically pulls in the relevant legal guidance and cites specific provisions as part of its review.

As guidelines evolve, Solve Intelligence ensures reviews stay current without requiring manual updates to your workflow. This review of the draft also ensures compliance with the chosen template, a powerful way to confirm adherence to client guidelines and firm preferences.

Step 4: Mark up and resolve issues

When issues are identified, Solve can insert comments directly into the document, suggest resolutions in tracked changes, and enable iterative refinement through Chat. Practitioners remain fully in control: reviewing, editing, or rejecting suggestions as needed. 

In practice, teams report resolving the majority of flagged issues in a single review pass, compared to two or three rounds of back-and-forth under manual workflows.

Step 5: Review any document

Solve Review is not limited to documents drafted within Solve. You can upload any patent application, including Word drafts, and run the same structured review workflows against it. This allows firms and in-house teams to standardize review processes regardless of where drafting occurred.

What are the advantages of AI-driven patent review?

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Standardization at scale

By saving review instructions and embedding them into templates, firms can ensure that consistent standards are applied across offices, teams, and jurisdictions.

Faster turnaround

What previously required multiple manual review passes can now be completed in a fraction of the time, freeing senior practitioners to focus on substantive strategy rather than checklist verification.

Improved transparency

Review criteria are explicit and configurable. Teams can see exactly what is being assessed and refine instructions over time.

Better collaboration

Shared templates and review configurations align expectations between in-house teams and outside counsel, reducing back-and-forth and accelerating filing.

Training support

Structured AI feedback provides junior practitioners with clear, repeatable guidance aligned with firm and jurisdictional standards.

Getting Started With Solve Review

Patent review is too important to shortcut and, until now, performing it rigorously on every application was impractical at portfolio scale. Solve Review changes that. With structured, jurisdiction-aware AI review built directly into the drafting workflow, teams can apply the same rigorous quality standard to every filing, whether they handle fifty applications a year or five hundred. 

To see Solve Review in action, request a demo or contact our team at partnerships@solveintelligence.com.

Frequently Asked Questions

Q: Can Solve Review be used on documents not drafted within the Solve system?

A: Yes, the tool is not limited to documents drafted within Solve; you can upload any patent application, including Word drafts, and run the same structured review workflows against it.

Q: Is the Solve Review module an additional cost?

A: This new feature is included with your existing Solve subscription. It's a complimentary upgrade designed to enhance the value you already receive. 

Q: How does Solve Review stay updated with changes to jurisdictional guidelines (e.g., MPEP, EPO Guidelines)?

A: As legal and procedural guidelines evolve, we update the underlying knowledge base, meaning your reviews automatically reflect the latest requirements without manual updates to your firm's workflow.

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Potter Clarkson Enhances Patent Practice with Solve Intelligence

Solve Intelligence is deployed at Potter Clarkson as a practitioner-led platform, designed to enhance - not replace - the expertise of experienced patent attorneys. The firm uses the technology primarily at a senior level, where skilled practitioners are able to prompt and interrogate the system effectively to guide high-quality outputs.

By combining advanced AI capability with deep technical and legal experience, the platform enables senior attorneys to work more efficiently while focusing their time and judgement on strategic advice, complex analysis and client value. This reflects the firm’s long-standing philosophy that technology should strengthen the role of the practitioner, not substitute professional expertise.

“At Potter Clarkson, our priority is delivering technically rigorous and strategically sound advice to our clients. We use Solve Intelligence as a tool in the hands of experienced patent attorneys - professionals who understand how to guide, challenge and refine AI-generated outputs. It allows our senior teams to concentrate on the aspects of drafting and prosecution where their judgement adds the greatest value, while maintaining full control over quality and client strategy.”

Peter Finnie, Partner, Potter Clarkson

Since rolling out Solve Intelligence’s Patent Copilot, the firm has tailored the platform to reflect its established house styles and drafting standards. This customisation reduces administrative burden and supports consistency across teams, enabling practitioners to engage with AI efficiently without compromising on quality, client-specific requirements, or the firm’s distinctive approach.

Peter Finnie to join Solve's Customer Advisory Board

We are excited to welcome Peter Finnie, Partner at Potter Clarkson, to Solve Intelligence’s Customer Advisory Board.

Reflections from IPWatchdog: Masterclass on AI Prompt Engineering for Patent Workflows

On February 5, 2026, Solve Intelligence hosted a masterclass with IPWatchdog on AI prompt engineering for patent workflows. Nearly 750 practitioners registered from across the world.

The level of experience in the room was striking: 75% of attendees had more than 11 years of patent experience, and over 40% had more than 20 years. A clear indication that decision-makers are staying on top of the latest trends and educational content on AI.

Key insights

  • Senior patent decision-makers are actively learning AI with 750 registrants and deep experience
  • AI is broadly permitted with most respondents reporting approval or active policy evaluation
  • Prompt engineering drives ROI with templates and structured instructions improving output quality

Watch the recording and download the slides

The recording covers the full prompt engineering framework for patent workflows, a live demonstration of prompting in action within Solve Intelligence across drafting, prosecution, and claim charting workflows, and a Q&A with the panel.

Download the slides here.

Client confidentiality in the age of AI: best practices for patent professionals

AI can improve the quality and efficiency of patent work - but it can also create new confidentiality and privilege risks if you don’t control what data is shared, where it’s stored, and who can access it. The good news: you can turn “AI risk” into a repeatable review process that your leadership, IT/security, and risk teams can sign off on with confidence.

This guide gives you a practical framework and a due diligence checklist, that you can use to evaluate AI tools for patent workflows without compromising client confidentiality.

Key takeaways

  • In patent work, confidentiality failures can jeopardise patent rights—treat inputs as high-risk.
  • Risk is more than training: retention, access, logs, human review, and subprocessors matter.
  • Use data tiers: Tier 0–1 OK; Tier 3 ‘default no’ unless explicitly approved and controlled.
  • Make it auditable: approved use cases, human review, matter separation, and vendor diligence.

For further information, read the full guidance below.