Generative AI Patent Drafting Tools: The Top 10
Oct 22, 2024
Here’s a look at the leading AI-enabled patent drafting tools available today.
You can choose any one of these to enhance workflow efficiency and elevate the overall quality of patent specifications through the use of AI.
Qatent creates a patent specification from an initial set of claims. It provides AI-generated suggestions for wording and uses autocomplete and error detection. Qatent allows drafting in multiple languages including English, German and Chinese.
Rowan Patents accepts claims from a user and allows them to manually create terms that are used consistently throughout the rest of the specification. It automates many aspects of the patent preparation and prosecution process by handling tasks like formatting and numbering compliant with USPTO standards.
Patently Create gives you its assistant Onardo to streamline patent drafting by generating a patent specification from claims. Onardo helps users to draft technical fields, backgrounds, summaries, and descriptions and create a full set of figures using a built-in drawing editor.
PatentPal streamlines patent drafting by generating claims and specifications from technical descriptions. Using natural language processing, it suggests legal language and allows integration of AI-generated content into drafts.
Righthub assists with patent drafting by producing introductory parts of patent applications in minutes, which are fully editable for refinement.
Added Matter enhances productivity by quickly drafting specifications from invention disclosures or claims using AI. It allows reviewing of citations, and generating arguments for patent prosecution and invalidity.
ClaimMaster - as the name suggests, works primarily with claims. It proofreads claims and identifying issues like missing antecedent basis, lack of specification support, inconsistent claims and part numbers, wrong amendments and status indicators etc.
PowerPatent - its Patent Composer tool creates a full patent specification, including a set of claims, from an invention disclosure. It uses generative AI to help with draft development and modifications, integrating features like docketing and predictive analytics, integrating with the USPTO’s Private PAIR system.
IP Author processes invention disclosures and simulates an attorney-inventor interview, using ChatGPT and Dolcera’s patent database. It also features an office action response module that generates arguments for patent prosecution.
Deep AI drafts claims by summarising invention disclosure documents. It suggests synonyms, alternative examples, and allows enhancement of specific paragraphs. It can adapt its writing style, ensuring alignment with the specific requirements of different applicants.
More on Patently Create
By leveraging NLP technology, Patently Create helps identify and organise claim features, efficiently describe Figures, and produce high quality patent specifications through a user-friendly drag-and-drop interface. By consolidating the entire process into one platform there is no need for external tools like Word or Visio.
With the help of Onardo, it's straightforward to create figures, as is reordering figures and editing reference numerals and changing parts in the figures.
Book a demo
What is patent drafting?
Drafting a patent specification is a task that takes humans 10,000 hours to learn to do. Those humans have a technical background, up to degree level at least. They study patent law to understand the structure and sections of a patent and how the various sections fulfil different legal requirements.
Because a patent has a structure, it lends itself to AI. And because there are lots and lots and lots of patents, there is a lot that can be learned about the structure of a patent and the types of technical details that are in a patent.
By utilizing machine learning to automate repetitive tasks, track reference numerals and figure numbers, and provide technical information from the vast repositories of technical information, AI-driven tools can help minimize human error, accelerate patent drafting, and ensure compliance with patent rules.
You can choose any one of these to enhance workflow efficiency and elevate the overall quality of patent specifications through the use of AI.
Qatent creates a patent specification from an initial set of claims. It provides AI-generated suggestions for wording and uses autocomplete and error detection. Qatent allows drafting in multiple languages including English, German and Chinese.
Rowan Patents accepts claims from a user and allows them to manually create terms that are used consistently throughout the rest of the specification. It automates many aspects of the patent preparation and prosecution process by handling tasks like formatting and numbering compliant with USPTO standards.
Patently Create gives you its assistant Onardo to streamline patent drafting by generating a patent specification from claims. Onardo helps users to draft technical fields, backgrounds, summaries, and descriptions and create a full set of figures using a built-in drawing editor.
PatentPal streamlines patent drafting by generating claims and specifications from technical descriptions. Using natural language processing, it suggests legal language and allows integration of AI-generated content into drafts.
Righthub assists with patent drafting by producing introductory parts of patent applications in minutes, which are fully editable for refinement.
Added Matter enhances productivity by quickly drafting specifications from invention disclosures or claims using AI. It allows reviewing of citations, and generating arguments for patent prosecution and invalidity.
ClaimMaster - as the name suggests, works primarily with claims. It proofreads claims and identifying issues like missing antecedent basis, lack of specification support, inconsistent claims and part numbers, wrong amendments and status indicators etc.
PowerPatent - its Patent Composer tool creates a full patent specification, including a set of claims, from an invention disclosure. It uses generative AI to help with draft development and modifications, integrating features like docketing and predictive analytics, integrating with the USPTO’s Private PAIR system.
IP Author processes invention disclosures and simulates an attorney-inventor interview, using ChatGPT and Dolcera’s patent database. It also features an office action response module that generates arguments for patent prosecution.
Deep AI drafts claims by summarising invention disclosure documents. It suggests synonyms, alternative examples, and allows enhancement of specific paragraphs. It can adapt its writing style, ensuring alignment with the specific requirements of different applicants.
More on Patently Create
By leveraging NLP technology, Patently Create helps identify and organise claim features, efficiently describe Figures, and produce high quality patent specifications through a user-friendly drag-and-drop interface. By consolidating the entire process into one platform there is no need for external tools like Word or Visio.
With the help of Onardo, it's straightforward to create figures, as is reordering figures and editing reference numerals and changing parts in the figures.
Book a demo
What is patent drafting?
Drafting a patent specification is a task that takes humans 10,000 hours to learn to do. Those humans have a technical background, up to degree level at least. They study patent law to understand the structure and sections of a patent and how the various sections fulfil different legal requirements.
Because a patent has a structure, it lends itself to AI. And because there are lots and lots and lots of patents, there is a lot that can be learned about the structure of a patent and the types of technical details that are in a patent.
By utilizing machine learning to automate repetitive tasks, track reference numerals and figure numbers, and provide technical information from the vast repositories of technical information, AI-driven tools can help minimize human error, accelerate patent drafting, and ensure compliance with patent rules.
You can choose any one of these to enhance workflow efficiency and elevate the overall quality of patent specifications through the use of AI.
Qatent creates a patent specification from an initial set of claims. It provides AI-generated suggestions for wording and uses autocomplete and error detection. Qatent allows drafting in multiple languages including English, German and Chinese.
Rowan Patents accepts claims from a user and allows them to manually create terms that are used consistently throughout the rest of the specification. It automates many aspects of the patent preparation and prosecution process by handling tasks like formatting and numbering compliant with USPTO standards.
Patently Create gives you its assistant Onardo to streamline patent drafting by generating a patent specification from claims. Onardo helps users to draft technical fields, backgrounds, summaries, and descriptions and create a full set of figures using a built-in drawing editor.
PatentPal streamlines patent drafting by generating claims and specifications from technical descriptions. Using natural language processing, it suggests legal language and allows integration of AI-generated content into drafts.
Righthub assists with patent drafting by producing introductory parts of patent applications in minutes, which are fully editable for refinement.
Added Matter enhances productivity by quickly drafting specifications from invention disclosures or claims using AI. It allows reviewing of citations, and generating arguments for patent prosecution and invalidity.
ClaimMaster - as the name suggests, works primarily with claims. It proofreads claims and identifying issues like missing antecedent basis, lack of specification support, inconsistent claims and part numbers, wrong amendments and status indicators etc.
PowerPatent - its Patent Composer tool creates a full patent specification, including a set of claims, from an invention disclosure. It uses generative AI to help with draft development and modifications, integrating features like docketing and predictive analytics, integrating with the USPTO’s Private PAIR system.
IP Author processes invention disclosures and simulates an attorney-inventor interview, using ChatGPT and Dolcera’s patent database. It also features an office action response module that generates arguments for patent prosecution.
Deep AI drafts claims by summarising invention disclosure documents. It suggests synonyms, alternative examples, and allows enhancement of specific paragraphs. It can adapt its writing style, ensuring alignment with the specific requirements of different applicants.
More on Patently Create
By leveraging NLP technology, Patently Create helps identify and organise claim features, efficiently describe Figures, and produce high quality patent specifications through a user-friendly drag-and-drop interface. By consolidating the entire process into one platform there is no need for external tools like Word or Visio.
With the help of Onardo, it's straightforward to create figures, as is reordering figures and editing reference numerals and changing parts in the figures.
Book a demo
What is patent drafting?
Drafting a patent specification is a task that takes humans 10,000 hours to learn to do. Those humans have a technical background, up to degree level at least. They study patent law to understand the structure and sections of a patent and how the various sections fulfil different legal requirements.
Because a patent has a structure, it lends itself to AI. And because there are lots and lots and lots of patents, there is a lot that can be learned about the structure of a patent and the types of technical details that are in a patent.
By utilizing machine learning to automate repetitive tasks, track reference numerals and figure numbers, and provide technical information from the vast repositories of technical information, AI-driven tools can help minimize human error, accelerate patent drafting, and ensure compliance with patent rules.