Introduction
Patent drafting can take as much as 20-40 hours per application, and filing volumes continue to rise, with more than 15 million applications filed annually across global jurisdictions. Combine these factors with the pressures clients often apply on costs and speed, and it’s no wonder that AI technology is on the rise in patent preparation and prosecution.
Smart use of AI can significantly reduce the time and increase the efficiency of the patent workflow. Early tools on the market, like Patent Bots, started years ago with non-generative, rules-based AI. As generative AI has grown, most tools now include gen AI capabilities as well.
Along the way, it’s not just the availability of tools that have grown. Comfort with AI among practitioners has also increased rapidly. According to research by Patent Bots, 78% of practitioners identified as moderately to very comfortable with incorporating Gen AI in patent drafting. What only months ago was considered a unique or more experimental approach to work is now much more mainstream and rapidly becoming essential.
In this piece, we’ll dive into a review of five popular AI-enabled patent drafting tools. We’ll look at their core features and what types of practitioners they best serve, along with practical considerations when choosing any new legal tech tool.
Tool-by-Tool Profiles
Patent Bots
Patent Bots has been in business since 2018. The company was founded by a patent attorney and built as a suite of tools to ease the day-to-day grind of patent practitioners. As one of the more established solutions in the legal tech space, the tools are widely used by practitioners. Patent Bots is accessible via both a Microsoft Word add-in and a browser interface.
While the first Patent Bots product was automated proofreading, the company’s products have grown to include the full preparation and prosecution workflow. The platform includes application drafting, proofreading and routine document generation, as well as information tools, which let users access details such as patent examiner statistics, patent family trees, and art unit predictions.
Patent Bots was a pioneer in machine learning and rules-based AI for patent work, and recently the company has added significant generative AI capabilities for drafting and information gathering, including a drafting chat assistant and reusable prompt library that use the invention disclosure and other documents for context. Additional AI features cover office action summaries for client reporting and a patent assistant that can answer questions about a patent's file history and family members.
Strengths
- Patent Bots offers a lot of functionality beyond drafting, making it a good option if you are looking for a single provider that can cover a large part of the preparation and prosecution process.
- The company routinely invests in enhancements and is known to be very responsive to customer requests and feedback.
- Patent Bots operates with a zero data retention infrastructure, so no data is retained or used for training. The company also maintains SOC 2 Type II compliance.
- Users report the tools are easy to use, and it’s convenient to have them accessible via both Word and browser.
- The company makes the platform available for a 14-day trial to prospective users.
Limitations
- Patent Bots Gen AI drafting tools assist with sections and edits but do not generate a complete patent application like some of the solely Gen AI providers.
- The AI drafting features operate as a chat assistant within an existing Word document rather than driving the drafting process end-to-end.
- Unlike some competitors, Patent Bots does not generate patent figures or flowcharts from technical inputs.
Pricing
- The company is transparent with its pricing, offering flexible subscription models for law firms, individual practitioners, and in-house teams.
ClaimMaster
ClaimMaster is another of the more established providers in patent tech and has a loyal base of practitioners using its tools. It runs via a Microsoft Word add-in, making it convenient for most practitioners. Founded by a patent attorney, the company has its roots in patent proofreading but more recently has added Gen AI features.
ClaimMaster's Gen AI drafting layer lets attorneys harness GPT, Claude, and local LLMs to generate figure descriptions, specification sections, and term explanations, while a local document database and customizable prompt library help control output quality.
Strengths
- ClaimMaster does many functions beyond drafting, making it a good option if you need a single provider.
- ClaimMaster is one of the most affordable tools in this comparison, making it accessible to solo practitioners and smaller firms.
- Tools are available for 30 days in a free trial, giving users ample time to test them out in their day-to-day work.
Limitations
- The Gen AI drafting capabilities are more limited than other platforms; these features are more of add-ons versus the tool’s core functionality.
- Users report that the UI can sometimes feel complicated to navigate.
- The platform is based on older Microsoft technology that decreases accuracy and slows down processing times.
Pricing
- Modular pricing lets you choose your features. Drafting is only included in the most premium package, which starts at $75 per user per month.
DeepIP
DeepIP positions itself as an enterprise-level AI patent drafting platform for law firms and corporate IP departments. It offers proprietary Gen AI models that were built specifically for patent law.
DeepIP's patent drafting tool operates natively within Microsoft Word and uses style-matching AI that learns a firm's templates, tone, and jurisdictional preferences to produce first drafts. It can digest lengthy invention disclosures and prior art, suggest alternative claim phrasings and fallback positions, and generate embodiment descriptions directly from imported drawings or notes.
Strengths
- DeepIP works within Word, making it easy for attorneys to draft in the way to which they are accustomed.
- The company supports multiple jurisdictions (USPTO, EPO, PCT, etc), making it among tools with the broadest jurisdictional coverage.
- DeepIP holds strong security credentials, with both SOC 2 Type II and ISO 270001 certifications.
Limitations
- Pricing is higher relative to some competitors.
- The product is well suited to software, mechanical, and process/method patents but has fewer capabilities for biotech or chemistry application.
- The OA response module is newer, with some users reporting it is underdeveloped relative to the drafting module, making it less efficient for those who want to work across the full prosecution process.
Pricing
- Pricing is not publicly listed, but third-party reports estimate it ranges from $350 to $420 per user per month. For enterprise and law firm teams, the company offers customized subscriptions.
Patlytics
Patlytics was founded in 2024, with a core product of patent intelligence. Drafting capabilities were added more recently. The company has been actively raising venture capital funds to expand the drafting tools, and today, the company’s products are used by firms as well as corporate IP teams.
Patlytics takes a guided, structured approach to drafting, beginning with a source material audit of invention disclosures before generating independent and dependent claims, while allowing full attorney editing and restructuring. A key differentiator is its integrated prior art and validity searching within the drafting environment itself.
Strengths
- The platform provides support from invention disclosure through litigation support
- The integrated validity search during drafting is unique and can mitigate risk.
- The company maintains SOC 2 Type II, ISO 27001, and ISO 42001 security certifications.
Limitations
- Pricing is at the high end of the market, with monthly user costs, along with implementation fees for enterprise implementations.
- It’s a newer platform, with less of a long-term track record than some of the more established providers.
- Some users indicate that the guided workflow can feel too restrictive, particularly those who want more direct drafting control.
Pricing
- Pricing is not publicly listed; third-party reports indicate an estimated cost of $800–$2,000 per user per month.
Solve Intelligence
Solve Intelligence was founded in 2023 by a leadership team with a background in machine learning. The company has secured large amounts of venture capital funding and is focused on growing market share through customer acquisition and product expansion, including recent acquisitions of Palito.ai and ClaimWise.
Solve assists with drafting of patent applications and office actions using Gen AI and is powered across the platform by Anthropic’s Claude. The platform supports full and partial application drafting across all application types, with AI style customizable per attorney, jurisdiction, and technology field, plus integrated figure generation, chemical structure and biological sequence handling, and collaborative office action responses with built-in citations.
Strengths
- Having moved beyond drafting, Solve now supports prosecution, claim charts, invention harvesting, and more.
- Security is a focus for Solve, with data encryption, local data processing, and security certifications. Data is not used for training AI models.
- The tools support customization, with AI that adapts to an attorney’s individual style and not just firm-wide templates.
Limitations
- Solve is browser-based, which can be a point of frustration for practitioners who operate largely in Microsoft Word.
- Users report a steeper learning curve, with a volume of features that can feel overwhelming to smaller teams.
- It’s a newer platform, with less of a long-term track record than some of the more established providers.
- Pricing is enterprise level only and not published.
Pricing
- Pricing is not publicly listed, but third-party reports estimate the cost is at least $775 per user per month.
Additional Considerations Before Adopting Any Tool
Security and data protection are key with any technology tool, but even more so when it comes to AI. Be sure to understand the data handling policy of any tool you are exploring. Is the data retained? Is it used in training models? Is it stored on any servers? You should also ask the provider about any certifications they carry, such as SOC 2 or ISO 27001, and be sure to verify these.
It’s important to remember that even the best AI tools produce errors. When using AI, the output should be considered a starting point; a thorough attorney review is required to ensure accuracy, consistency and a sound legal strategy. At the end of the day, judgment calls remain with the practitioner.
Conclusion
So what’s next for AI in patent drafting and beyond? As AI capabilities expand, tools are moving from focused tasks like drafting to broader, agentic workflows. It won’t be long before we see AI agents that can handle drafting, research, and portfolio triage autonomously.
From a business and investment standpoint, there is likely to be more outside funding moving into the space, as providers continue to emerge and try to capitalize on the AI hype and as others begin to make acquisitions to consolidate or expand further upstream or downstream within the patent workflow.
Finally, some of the general legal AI players will likely begin to enter the patent space.
In all, with so much changing and changing so quickly, it’s unlikely that you’ll find an AI patent drafting tool that checks every single box. When evaluating options, it’s important to consider your specific needs and use cases, along with your firm size, workflow preferences, and budget. Many providers offer a free trial, and it’s worth piloting a tool in this way to better understand how it supports the day-to-day realities of your work.
To try Patent Bots specifically, you can activate a free, two-week trial or get in touch to schedule your personalized demo.
Disclaimer: The details in this blog are provided by Patent Bots and based on publicly available sources as of May 2026. While we strive to provide accurate information, capabilities and pricing may change over time.
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