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?

Potentially another product image or branded infographic that reflects the below

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.

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.

Related articles

How Solve Intelligence Handles Invention Disclosures and Unstructured Data

If you've been drafting patents for any length of time, you know the real bottleneck is often not the drafting itself. It's the messy inputs that precede it: partial forms, internal review decks, or email threads where the inventive aspects are buried. Getting from that to a coherent starting point for a draft consumes time most practices simply can't afford.

AI can perform much of that translation work: extracting what matters, flagging what's missing, and generating the necessary follow-up questions based on holes and shortcomings. But it must operate inside proper confidentiality controls, and its output requires attorney review before going near a draft. This guide covers how that works in practice in Solve Intelligence's platform .

Key takeaways

  • The disclosure bottleneck is upstream; AI structures messy inputs before the drafting phase begins.
  • AI extracts features, normalises terminology, surfaces gaps, and generates inventor questions, but attorney review is mandatory.
  • The danger is plausible but fabricated detail, not obvious errors. Watch for AI-generated parameters or 'helpful' specifics.
  • Disclosures contain trade secrets and unpublished IP. Use only tools with verified zero-training, zero-retention policies and enterprise-grade security.
  • A sensible pilot, without client approval, uses anonymised or historical disclosures to define 'good' output and track key metrics over limited timeframe.

How Nielsen Is Scaling Patent Operations with AI

Nielsen, a global leader in media audience measurement operating in over 50 countries, manages an industry-leading patent portfolio protecting innovations across a variety of fields, including data science, media measurement technology, and viewer analytics. Operating at the intersection of data science and an ever-changing media landscape requires constant innovation to keep pace. Supporting this innovation velocity requires IP operations that can scale without compromising quality.

Nielsen's in-house team adopted Solve Intelligence as their AI patent platform following a comprehensive evaluation process in Q4 2025. The partnership between Nielsen and Solve Intelligence reflects a shared commitment to precision and enabling practitioners to do their best work more efficiently.

Solve Intelligence Acquires Palito.ai to Unify AI Patent Litigation and Prosecution in One Platform

Solve Intelligence has acquired Palito.ai, a Munich-based startup specialising in AI-powered patent litigation and prior art analysis.

The acquisition deepens Solve’s investment in patent litigation, adding Palito's strengths in validity analysis, case law research, and European patent workflows to Solve’s existing Charts product. The result is a single platform where IP professionals can handle invalidity claim charts, SEP claim charts, freedom-to-operate and clearance analyses, infringement mappings, claim construction analyses, portfolio analyses, and more.

Solve Intelligence is an AI platform for IP professionals, covering patent drafting, prosecution, and litigation. Palito.ai is a Munich-based startup specialising in AI-powered validity analysis and European patent litigation workflows.

At a glance:

  • Solve Intelligence acquires Munich-based Palito.ai
  • Adds validity analysis, prior art research, EPO/UPC/German court workflows
  • New Munich office established
  • Existing Charts users get expanded litigation capabilities

The Shift Has Already Happened: How Legal's Relationship with AI Changed

Two years ago, the dominant argument in the legal industry was whether AI had any place in the profession at all. That debate is over.

Analysts are now calling 2026 the year AI moves from an “interesting tool” to “operational infrastructure”. The speed at which that narrative has changed tells you everything about where the industry is heading.

Key takeaways

  • The legal profession's central question has moved from "can we trust this?" to "how do we integrate this properly?"
  • AI adoption across IP practice has risen from 57% in 2023 to 85% in 2025.
  • Firms are not just trialling AI tools, they are expanding its use across full workflows. Practitioners using Solve Intelligence grew ~560% in 2025 alone.
  • Clearer regulatory guidance has removed one of the most significant psychological barriers to adoption.
  • The profile of firms now adopting AI has changed: these are not early experimenters, but some of the most demanding legal professionals in the world.