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Discover 7 top AI tools for smarter prior art search, ranked and reviewed for patent professionals seeking innovation and accuracy

Solving the pain points of patent document review

Patent proofreading and review tools are specialised to detect grammar, formatting, and structural issues in patent applications and related documents. With AI, these tools have also become beneficial in analysing claim structure, verifying aspects that require jurisdictional compliance, and maintaining consistency and support across the specification, claims, and formal drawings.

AI tools are able to identify nuanced semantic and structural issues that human reviewers often overlook. And for firms managing large portfolios, this reduces attorney time, unnecessary rejections, shortens prosecution timelines, and delivers tangible ROI. 

If tailored to specific jurisdictions like the USPTO and EPO, they can also incorporate jurisdictional-related requirements and guidelines that reduces costly amendments and foreign attorney fees, reducing the risk of post-filing objections.

As artificial intelligence (AI) continues to evolve the legal profession, patent attorneys find themselves at a critical inflection point. While generative AI tools are becoming ubiquitous in day-to-day tasks, replacing Google Search for many, the patent space presents unique challenges, particularly around precision, consistency, as well as professional and educated judgment.

From AI-assisted claim drafting to the future of inventorship and evolving legal standards under §101 and §112, this year’s AIPLA Spring Meeting in Minneapolis spotlighted the pressing issues shaping patent law in the age of generative tools.

In AIPLA’s closing plenary - Integrating AI in your Practice to Innovate, to assist and to survive the Changing Legal Landscape - these challenges were brought into focus by Michael Atlass (Sr. Director & Legal Counsel, Qualcomm), Ian Clouse (Partner, Holland and Hart), John McBroom (Open Technology Counsel, IBM), and Ben Siders (Practice Group Leader, Lewis Rice), revealing clear opportunities for patent practitioners.

AI adoption often seems daunting, but with Solve Intelligence, it doesn’t have to be. Attorneys can start using the platform right away -  no need to change existing workflows. 

We’re excited to share that Solve Intelligence will be exhibiting at the AIPLA Spring Meeting 2025, taking place May 13–15 in Minneapolis!

The AIPLA Spring Meeting brings together proven IP leaders, strategists, practitioners and peers. Many of them are judges; others are well-respected industry leaders who know what you need to know. We’re proud to be joining the conversation and showcasing how AI for patents can transform the way patent professionals work.

Recent developments in artificial intelligence have significantly simplified once complex tasks for patent professionals. One area that has recently seen a significant leap is patent figure generation, moving beyond simply analyzing drawings and figures to full generation capabilities, intelligent labeling, visual refinement, and rule-based output validation. These tools are evolving quickly to meet the increasing demands for patent professionals, allowing them to be more accurate and provide more compliant visual documentation of inventions quickly and easily.

For patent attorneys, in-house counsel, and R&D teams, a well-timed novelty or prior art search is one of the most effective ways to validate inventive output and mitigate risk early in the patenting process. It also forms the foundation of a broader patentability assessment, offering critical insight into the state of the art and supporting informed decisions about whether and how to pursue patent protection.

This article outlines the strategic function of a novelty search, optimal timing, best-practice methods, and how they relate to commercial IP objectives.