AI Patent Drafting Tools: Patent Bots vs. Other Solutions

Patent Bots was founded in 2018 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 products were automated proofreading and examiner statistics, the platform has grown to include the full preparation and prosecution workflow: application drafting, proofreading, and routine document generation, as well as information tools that let users access patent family trees and art unit predictions.

Patent Bots was a pioneer in machine learning and rule-based AI for patent work, and has since added significant generative AI capabilities — including a drafting chat assistant and reusable prompt library that use the invention disclosure and other documents for context. Additional AI features cover a patent agent that can answer questions about a patent's file history and family members, proofreading, and office action summaries for client reporting letters.

Pricing

Patent Bots is transparent with its pricing, offering flexible subscription models for law firms, individual practitioners, and in-house teams.

Strengths

• Broad functionality beyond drafting — a good single provider for much of the preparation and prosecution process.
• Founded and led by a patent attorney; highly responsive to customer requests with regular product enhancements.
• Zero data retention infrastructure — no data is retained or used for model training. SOC 2 Type II compliant.
• Users report the tools are easy to use, with convenient access via both Word and browser.
• 14-day free trial with no complex onboarding required to get started.

Limitations

• Gen AI drafting tools are designed to support attorney judgment — assisting with sections and edits rather than generating a complete application end-to-end. This is a deliberate, attorney-in-control approach.
• AI drafting features operate as a chat assistant within Word documents, rather than driving the process end-to-end.
• Focused solely on the written application; does not generate patent figures or flowcharts from technical inputs.

Solve Intelligence was founded in 2023 by a leadership team with a background in machine learning. The company has secured significant venture capital funding to grow market share through customer acquisition and product expansion.

Solve supports drafting of patent applications and office actions using Gen AI powered 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 and collaborative office action responses with built-in citations.

Pricing

Pricing is not publicly listed, but third-party reports estimate the cost at at least $775 per user per month.

Strengths

• Having moved beyond drafting, Solve now supports prosecution, claim charts, invention harvesting, and more.
• Security focus with data encryption, local data processing, and security certifications. Data is not used for training AI models.
• AI adapts to an attorney's individual style — not just firm-wide templates.

Limitations

• Browser-based only — a point of frustration for practitioners who operate largely in Microsoft Word.
• Users report a steeper learning curve, with a high volume of features that can feel overwhelming. Many features go unused.
• Newer platform with less of a long-term track record than established providers.
• Enterprise pricing only; not publicly listed.

DeepIP positions itself as an enterprise-level AI patent drafting platform for law firms and corporate IP departments. It offers proprietary Gen AI models 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.

Pricing

Pricing is not publicly listed, but third-party reports estimate it ranges from $350 to $420 per user per month. Enterprise and law firm teams can request customized subscriptions.

Strengths

• Works within Word, making it easy for attorneys to draft in their accustomed environment.
• Supports multiple jurisdictions (USPTO, EPO, PCT, etc.) — among the broadest jurisdictional coverage available.
• Strong security credentials: SOC 2 Type II and ISO 27001 certifications.

Limitations

• Pricing is high relative to other providers.
• Well suited to software, mechanical, and process/method patents, but fewer capabilities for biotech or chemistry applications.
• The OA response module is newer; some users report it is underdeveloped relative to the drafting module, making it less efficient for those who want full prosecution workflow coverage.

Patlytics was founded in 2024, with a core product of patent intelligence. Drafting capabilities were added more recently, and the company has been actively raising venture capital to expand those tools.

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 integrated prior art and validity searching within the drafting environment itself.

Pricing

Pricing is not publicly listed; third-party reports indicate an estimated cost of $800–$2,000 per user per month.

Strengths

• Platform provides support from invention disclosure through litigation support.
• Integrated validity search during drafting is unique and can help mitigate risk.
• 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 plus implementation fees for enterprise deployments.
• Newer platform with less of a long-term track record than more established providers.
• Some users indicate the guided workflow can feel too restrictive, particularly those who want more direct drafting control.

ClaimMaster is another of the more established providers in patent tech. 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 has more recently 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. A local document database and customizable prompt library help control output quality.

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.

Strengths

• Covers many functions beyond drafting — a viable single-provider option.
• One of the most affordable tools in this comparison, making it accessible to solo practitioners and smaller firms.
• 30-day free trial gives users ample time to test the product in day-to-day work.

Limitations

• Gen AI drafting capabilities are more limited than other platforms — these features are more add-ons than core functionality.
• Users report that the UI can feel complicated to navigate, and the pace of product enhancements is slower.
• The platform is based on older Microsoft technology that can decrease accuracy and slow processing times.

Maintaining Security and Data Confidentiality

Security and data protection are critical with any technology tool, and even more so with AI. When evaluating tools, look for zero data retention policies and verified security certifications — both of which Patent Bots maintains. Ask providers directly: Is data retained? Is it used in model training? Is it stored on external servers?

Avoiding Over-Reliance

Even the best AI tools produce errors. AI output should be considered a starting point — a thorough attorney review is required to ensure accuracy, consistency, and a sound legal strategy. Judgment calls remain with the practitioner, a philosophy that Patent Bots has built into its AI tools.