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FEATUREDBringing LexisNexis® Global Patent Litigation Data into Solve Intelligence Workflows Solve Intelligence has teamed up with LexisNexis ® Intellectual Property Solutions to bring global patent litigation insights into Solve Intelligence workflows for patent drafting, prosecution, claim charting, freedom-to-operate assessments, invalidity analysis, and related IP work.Read article

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September 25, 2026How to Draft Patent Applications for AI-Enabled Medical DevicesMapping the sensor-to-output chain, not just the AI label, is what makes patent claims for AI-enabled medical devices hold up under US and EPO scrutiny.Read article

September 22, 2026What Your Patent Must Disclose When AI Predicts the MoleculeAI-discovered drug candidates come with a confidence score, not proof of binding. See what USPTO and EPO patent offices actually require you to disclose.Read article

September 16, 2026Inside Our IPWatchdog AI Webinar for Life Sciences PatentsPatent practitioners discuss chemical structures, antibody sequences, and AI workflows for life sciences, and where human review remains essential.Read article

September 14, 2026Welcoming Jack Kraynak to the Solve Intelligence TeamWe're happy to welcome Jack Kraynak to Solve Intelligence as a Legal & Product Engineer! Jack is a registered U.S. patent agent who joins us with several years of patent examination experience at the USPTO, along with licensing and assignment work at IBM. He specializes in prior art searching, claim interpretation, response drafting, and freedom-to-operate strategy. He holds a B.S. in Bioengineering, and as an undergraduate he focused on 3D bioprinting and additive manufacturing.Read article

September 11, 2026ILTACON 2026 Recap: Firm-Wide AI Adoption for Patent TeamsAt ILTACON 2026, patent and IP teams pushed past piloting AI toward firm-wide rollout. They evaluated tools against specific criteria like claim chart citations and office action drafting, not just general AI capability. Solve Intelligence used the event to announce a new partnership with Thomson Reuters.Read article

September 9, 2026Dental Monitoring Requires Written Description Support for Provisional Prior Art DatesA provisional filing date only counts as prior art if it supports at least one published claim, the Federal Circuit held in Dental Monitoring v. Align.Read article

April 3, 2026How Solve Intelligence Handles Invention Disclosures and Unstructured DataIf 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.Read article

April 2, 2026How Nielsen Is Scaling Patent Operations with AINielsen, 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.Read article

March 31, 2026Solve Intelligence Acquires Palito.ai to Unify AI Patent Litigation and Prosecution in One PlatformSolve 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 capabilitiesRead article

March 30, 2026The Shift Has Already Happened: How Legal's Relationship with AI ChangedTwo 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.Read article

March 24, 2026Solve Intelligence Ranked #1 IP Platform by the World's Leading Law FirmsSolve Intelligence has been ranked the number one intellectual property platform in the latest Legal AI survey published by SKILLS (the Strategic Knowledge & Innovation Legal Leaders Summit). The study surveyed 130 leaders at the world's top law firms about their legal AI product usage across every major practice area, scoring platforms based on live deployments, active pilots, and tools under consideration. In the Patents/IP category, Solve Intelligence placed first with a weighted score of 67, making it the most widely-used platform in the category. See the full report here .Read article

March 20, 2026The Hidden Cost of Ignoring AI in Patent PracticeAs patent practitioners, the choice to “do nothing” about AI is not a neutral act. Law firms or in-house counsel that delay the adoption of AI may believe they are minimizing risk, but oftentimes they are taking on a different set of less visible, long-term risks. These hidden costs can accumulate quickly, from compounding inefficiencies in traditional patent drafting workflows to missed revenue opportunities that remain untapped without leveraging AI-driven capabilities. So, what can patent practitioners do to stay ahead of the game? Here is what the Solve Intelligence team has seen speaking with thousands of practitioners. Key takeaways Waiting to adopt AI is itself a strategic decision with compounding costs. Manual patent workflows create time, quality, and knowledge bottlenecks that grow over time. Firms already experimenting with AI gain operational insight that late adopters cannot shortcut. Low-risk entry points let practitioners build confidence without compromising legal judgment.Read article

March 19, 2026Why Patent Attorneys Need Purpose-Built AILegal AI platforms are valuable productivity tools, powered by large language models and enriched with legal data sources, firm-specific knowledge, and purpose-built workflows, they perform well on tasks like legal research, document summarisation, and contract or email drafting. But their workflows are optimised for breadth across practice areas, not for the structural, technical, and jurisdictional depth that patent work requires. For IP teams that already have access to a generalist platform, or are trying one out, the natural follow-up question is whether a vertical solution adds enough to justify the investment. At Solve Intelligence, we build AI specifically for patent practitioners. In our experience scaling the platform to over 700+ IP teams , there is no question that patent-specific tooling delivers ROI that generalist platforms alone cannot. This article sets out why. Key takeaways Generalist legal AI tools weren't trained for the structural depth patent work demands. Solve Intelligence is shaped by in-house patent attorneys who joined Solve from firms like Carpmaels & Ransford and Fish & Richardson. Custom templating lets attorneys match output to house style, client/technology area, or jurisdiction. Generalist and patent-specific AI are complementary investments, not competing ones.Read article

March 16, 2026Top 6 Patent Analysis Software & Tools in 2026See how six leading patent analysis platforms compare on landscape analysis, claim charts, litigation data, and security before choosing one for 2026.Read article

March 12, 2026Marbury Law sees 3x-4x efficiency gain from using Solve IntelligenceWhen we sat down with Bob Hansen for this conversation, we knew it would be grounded in both legal depth and real-world business experience. Bob is a founding partner of The Marbury Law Group and has extensive experience across patent prosecution, litigation, licensing, portfolio strategy, and complex IP transactions. But what makes his perspective particularly compelling is that he also brings 20 years of real-world experience as an engineer, program manager, and business executive in Fortune 50 companies and start-ups. He understands firsthand how innovation moves from idea to product, and how intellectual property law fits into that journey. That dual lens is exactly why we wanted to have this discussion. Bob evaluates technology not just as a patent attorney, but as someone who has managed engineering teams, navigated acquisitions and divestitures, raised capital, and built businesses. When someone with that background says AI has been transformative and backs it up with measurable 3 to 4x efficiency gains, it’s worth listening. Key Insights AI adoption requires proof. Bob and his team tested multiple tools before committing, and only moved forward once they saw quantifiable results. 3 to 4x efficiency gains changed the business case. By tracking his own drafting time, Bob demonstrated that AI-enabled workflows made fixed-fee work viable at partner rates. Demonstration drives adoption. Live drafting sessions, client transparency, and side-by-side cost comparisons created full buy-in from both clients and colleagues. Integrated chat removes friction. Keeping research, drafting, and revisions inside one contextual workspace eliminated copy-paste workflows and saved significant time. Context is a force multiplier. AI performs best when it understands the full invention disclosure, file history, and drafting materials in one place. Speed expands strategic value. Faster drafting didn’t just save time - it enabled better coverage, stronger enablement, and real-time responsiveness to client needs. About Marbury Law The Marbury Law Group is a premier mid-size, full-service intellectual property and technology law firm in the Washington, D.C. area, with additional strength in commercial law, litigation, and trademark litigation. Recognized by Juristat as a top 35 law firm nationwide and holding Martindale-Hubbell’s AV® Preeminent™ Peer Review Rating, Marbury serves clients ranging from Fortune 500 companies and mid-size technology businesses to high-tech startups and inventors. Its practitioners bring unusually wide-ranging experience, including former technology executives, government R&D managers, startup founders, in-house counsel, “big-law” attorneys, USPTO patent examiners, and judicial clerks. Marbury delivers “big-law” service with the flexibility and personal attention of a smaller firm, pairing high-quality work with efficient, budget-aware billing. Based near the USPTO, the firm has drafted and prosecuted thousands of U.S. and foreign patent applications and trademarks, and advises on IP strategy, diligence, and licensing. Formed in 2009 through the merger of two established practices (with roots dating back to 1994), the firm takes its name from Marbury v. Madison (1803), the landmark Supreme Court case that established judicial review.Read article

March 11, 2026Introducing Solve Review: A Practical Guide to AI-Powered Patent ReviewPatent 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 AIRead article

March 10, 2026Potter Clarkson Enhances Patent Practice with Solve IntelligenceSolve 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.Read article

March 6, 2026Peter Finnie to join Solve's Customer Advisory BoardWe are excited to welcome Peter Finnie, Partner at Potter Clarkson, to Solve Intelligence’s Customer Advisory Board.Read article

March 4, 2026Reflections from IPWatchdog: Masterclass on AI Prompt Engineering for Patent WorkflowsOn 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 .Read article

February 27, 2026Client confidentiality in the age of AI: best practices for patent professionalsAI 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.Read article

February 26, 2026Level Up Your IP Strategy - Senior IP & Patent Leaders, see AI in action.Solve Intelligence will be presenting a live product demo at the upcoming private workshop hosted by HG Law and organised by Cosmonauts . 📅 Wednesday, 4 March 2026: Workshop: 2:30 PM - 6:00 PM | COMO Metropolitan London Hotel, London, UK Dinner: 6:00 PM - 9:00 PM | COYA Mayfair, London, UK This session is designed for Heads of IP, Patent Directors, and innovation leaders who want to level up their IP strategy by seeing AI applied in patent drafting, preparation, and prosecution . Register Here .Read article

February 25, 2026How to Talk to Clients About Using AI in Patent DraftingArtificial intelligence is no longer a theoretical issue in patent drafting, and many firms are already using AI-assisted workflows in some form. The harder question now isn’t whether to use AI, but how to talk to clients about using it. Key insights Focus on better drafting quality, enforceability, and fewer avoidable downstream problems. Walk through data handling so confidentiality and retention protections are easy to trust. Explain inventorship stays human and the attorney remains responsible for every word. Keep the process clear and documented so expectations stay aligned from day one. For some clients, AI usage signals efficiency and modernisation. For others, it raises immediate concerns about confidentiality, inventorship, and quality control. Those concerns are legitimate, so the key is to approach conversations about AI in a way that is structured, transparent, and grounded in professional responsibility. In practice, the most effective discussions with clients will focus on outcomes rather than technology. This article provides a structured framework to use when talking to clients about using AI, such as Solve Intelligence’s Patent Drafting Copilot TM , in patent drafting.Read article

February 23, 2026How to use AI in patent practice: USPTO guidance and compliance tipsAs Artificial Intelligence (AI) and large language models (LLMs) increasingly integrate into legal practices, the U.S. Patent and Trademark Office (USPTO) issued guidance to assist patent attorneys with adopting AI tools in patent drafting, prosecution, and other areas of patent law. In this article, we summarize the key compliance requirements from the USPTO's guidance and explain how Patent Copilot™ helps practitioners meet these obligations while leveraging AI's benefits.Read article

February 20, 2026UK Supreme Court aligns UK software patentability with EPO approachThe UK Supreme Court’s Emotional Perception decision moves UK practice closer to the EPO for computer implemented inventions, including AI. Claims with ordinary hardware will usually avoid the “computer program as such” exclusion, but only technical features can support inventive step. In practice, applicants should focus arguments and evidence on technical contribution and inventive step. Key takeaways UK moves closer to EPO, inventive step becomes the main battleground. Ordinary hardware avoids exclusion, but may not support inventiveness. Only technical features count at inventive step, not business aims. Neural networks are treated as software, no special treatment either way. Draft around technical contribution, measurable effects, and system level impact.Read article

February 19, 2026Kicking Off 2026: New Investors, New Customers, New Product FeaturesA lot has happened in the last two months. We wanted to take a moment to share what we've been building, who's joined us, and where we're headed next. Since we started Solve, the goal has been simple: help IP teams do their best work by combining real-world patent expertise with deep AI research, intuitive UX, and state-of-the-art security. The momentum we're seeing across the business tells us the market agrees as 400+ IP teams across 6 continents now use Solve . Here's what's new.Read article

February 17, 2026Reflections from AUTM: What Tech Transfer Offices Really Need in 2026Last week, my colleagues and I attended the annual meeting of AUTM, the global association for technology transfer professionals. For anyone building in the intellectual property (IP) space, it’s one of the most important rooms you can be in. The three-day conference brings together higher education decision-makers from around the world who are shaping how intellectual property is evaluated, protected, and commercialized. This year’s conversations revealed something important: the question is no longer if AI will influence tech transfer, but instead about how institutions will integrate it.Read article

February 16, 2026PTAB Case Studies of AI Disclosure Requirements: Part IArtificial intelligence (AI) is a fast-evolving field with new technical methods, systems, and products constantly being developed. This growth has also been reflected in the dramatic increase in patent filings for AI-related inventions. According to Patents and Artificial Intelligence: A Primer from the Center for Security and Emerging Technology, more than ten times as many AI-related patent applications were published worldwide in 2019 than in 2013, and the increasing trend has only continued since. Although AI-related patent applications have been on the rise, explicit guidance on patentability requirements have only recently begun to be published by patent offices around the world. Indeed, as a burgeoning field of technology, AI inventions have unique features, such as the importance of training data and the lack of explainability and predictability of trained AI models, that differentiate such innovations from traditional types of computer-implemented inventions (CII). These features raise questions about the interpretation of disclosure requirements, among other patentability requirements, for AI-related inventions. For example, how much information, such as source code, training data sets, or machine learning model architectures, should be provided to satisfy the written description and enablement requirements of Title 35 of the U.S. Code § 112(a) or analogs in other patent jurisdictions? As we await further official guidance from the U.S. Patent & Trademark Office (USPTO) on disclosure requirements for AI-related inventions, we can gather initial indications from recent patent prosecution decisions from the Patent Trial & Appeal Board (PTAB) on such issues. In this article, we study a selection of PTAB appeals decisions for applications for AI-related inventions rejected under § 112. To set the background, we first review a classification of AI inventions and USPTO guidelines on disclosure requirements for computer-implemented inventions. After analyzing three case studies, we conclude with general takeaways and best practices, which emphasize that applicants must disclose specific algorithms and implementation details, not just desired outcomes, to satisfy written description requirements.Read article

February 13, 2026Navigating epi AI Guidelines with Confidence: How Solve Intelligence Supports ComplianceIn 2024, the Institute of Professional Representatives before the European Patent Office (epi) published its Guidelines on the Use of Generative AI in the Work of Patent Attorneys . These Guidelines provide practical guardrails for the responsible use of generative AI in patent practice, reaffirming that professional responsibility, confidentiality, and transparency remain central when AI tools are used. In our earlier blog post , we outlined the key principles set out in the epi Guidelines. Since then, the Guidelines themselves have not changed. However, the use of AI in patent workflows has continued to mature, and so has Solve Intelligence. This update highlights how Solve Intelligence supports compliance with the epi Guidelines in day-to-day practice, focusing on concrete product capabilities and supporting processes.Read article

February 11, 2026Patent Attorneys' Guide to Adopting AI: The First 30 DaysArtificial intelligence is already reshaping patent practice, but adopting it swiftly, efficiently and securely is where most firms get stuck. Patent professionals know the productivity upside to using gen AI tools, yet often get derailed when informal experiments run into real-world problems: client confidentiality concerns, inferior work-product quality, delayed internal approvals, and decision-fatigue. This guide lays out a practical, 30-day plan for adopting AI in patent work, moving from ad hoc trials to a controlled, firm-ready strategy. It shows how you can run a focused pilot, set clear guardrails, train attorneys, and document decisions in a way that satisfies partners, clients, and internal stakeholders.Read article

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Customers report 50%+ efficiency and quality improvements.

“Solve are so far above what other people are doing. That’s why we decided to go with Solve.”Larissa BifanoPartner, DLA Piper

“Solve Intelligence stands out for their genuine customer obsession, particularly in how they partner with users to co-create tailored templates.”Jeff DraegerChief Patent Counsel, Intel

“After extensively evaluating many products, we concluded that Solve Intelligence best met the needs of our attorneys and our clients.”Laura C. BrutmanShareholder, Banner Witcoff

“We see Solve Intelligence as the key to our success in the future.”Thomas YeePartner, Ashurst Perkins Coie

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“Solve is providing the ability to give a robust analysis to clear products, in a way that allows me to give security to the client, and also allows me to do my job a lot better.”Nicholas SchmidbauerPartner, Quarles

“By understanding lawyers, not just technology, Solve is truly innovating on what the practice of law looks like.”Joshua DavenportShareholder, Banner Witcoff