2025-01-15 2025-01-15 , online online, 1,290 € zzgl. MwSt. Sebastian Goebel https://forum-institut.de/seminar/25041133-patent-drafting-with-local-generative-ai/referenten/25/25_04/25041133-online-course-patent-drafting-with-local-generative-ai_goebel-sebastian.jpg Patent Drafting with local Generative AI

Join our one-day course and discover how to boost patent drafting with the local generative AI. This immersive workshop offers patent attorneys, counsels, and engineers a unique opportunity to gain hands-on experience with local generative AI with ensured data confidentiality.

Topics
  • The advantages of local Generative AI for patent drafting
  • Practice-oriented development of a workflow for the use of local AI models in the drafting process
  • Automatic generation of patent descriptions with SLMs/LLMs based on patent claims
  • Support and optimisation for the process of creating patent claims from invention disclosures using language models
  • Use of generative AI for pre- and post-filing activities such as quality review, jurisdiction-specific adjustments, or prosecution
  • Setting up a local Generative AI work environment


Who should attend
Do you work as a patent attorney or patent engineer and would like to use local Generative AI to make the drafting of patent applications more efficient?

Then this is the right seminar for you. Basic knowledge of how Generative AI works is a prerequisite. Programming skills are not required.
Aims and objectives
This practical workshop teaches how Generative AI can be effectively used to optimise and accelerate the patent drafting process - while maintaining confidentiality of the data.

Practical exercises will enable participants to use local language models for various aspects of patent drafting, such as the understanding and analysis of the invention, preparation of the inventor interview, state of the art search, the drafting and optimisation of the patent claims, the creation of the description or review and refinement.
Your benefit

  • Learn the practical application of local Generative AI for drafting relevant sections of a patent application
  • Increase efficiency and improve quality in patent drafting with a practice-tested workflow
  • Hands-on exercises and examples to immediately integrate Generative AI into your own patent drafting practice

Online Course - Patent Drafting with local Generative AI

Patent Drafting with local Generative AI

Benefits
  • Enhanced patent drafting efficiency with GenAI tools
  • Hands-on exercises for real-world application in patent drafting
  • Learning AI workflows while ensuring data confidentiality

Webcode 25041133

Jetzt buchen

JETZT Buchen
Referent

Sebastian Goebel

European and German Patent Attorney, Founding Partner, Bösherz Goebel, Meerbusch (Germany)

Sebastian Goebel is a European and German Patent Attorney and a founding partner of Bösherz Goebel, a decentralised, highly digitalised boutique patent law firm with patent experts throughout Germany. His professional focus is on the protection of digital technologies. Sebastian is passionate about AI and software development, both now and through his previous work as an electrical and information technology engineer. Other areas of his expertise include medical engineering, electrical engineering, electronics, and signal processing. He is also a co-chair of the I3PM's IP & AI Committee.

Alles auf einen Blick

Termin

01/04/2025

01/04/2025

Zeitraum

09:00 to 17:00 CET

09:00 to 17:00 CET
Veranstaltungsort

online

online

Downloads
PROSPEKT
PROSPEKT
Gebühr

Veranstaltung - 1,290 € zzgl. MwSt.
The fee includes high-quality course material and a participation certificate for download, access to the Learning Space as well as technical support including a test meeting.

Veranstaltung - 1,290 € zzgl. MwSt.
The fee includes high-quality course material and a participation certificate for download, access to the Learning Space as well as technical support including a test meeting.

Inhouse-Angebote
Inhouse-Angebot anfordern
Inhouse-Angebot anfordern

Jetzt buchen

Your contact

Jean-Claude Alexandre Ho, LL.M.
Lawyer, Conference Manager

+49 6221 500-675
jc.alexandreho@forum-institut.de

Details

Join our one-day course and discover how to boost patent drafting with the local generative AI. This immersive workshop offers patent attorneys, counsels, and engineers a unique opportunity to gain hands-on experience with local generative AI with ensured data confidentiality.

Topics

  • The advantages of local Generative AI for patent drafting
  • Practice-oriented development of a workflow for the use of local AI models in the drafting process
  • Automatic generation of patent descriptions with SLMs/LLMs based on patent claims
  • Support and optimisation for the process of creating patent claims from invention disclosures using language models
  • Use of generative AI for pre- and post-filing activities such as quality review, jurisdiction-specific adjustments, or prosecution
  • Setting up a local Generative AI work environment


Who should attend
Do you work as a patent attorney or patent engineer and would like to use local Generative AI to make the drafting of patent applications more efficient?

Then this is the right seminar for you. Basic knowledge of how Generative AI works is a prerequisite. Programming skills are not required.

Aims and objectives

This practical workshop teaches how Generative AI can be effectively used to optimise and accelerate the patent drafting process - while maintaining confidentiality of the data.

Practical exercises will enable participants to use local language models for various aspects of patent drafting, such as the understanding and analysis of the invention, preparation of the inventor interview, state of the art search, the drafting and optimisation of the patent claims, the creation of the description or review and refinement.

Your benefit

  • Learn the practical application of local Generative AI for drafting relevant sections of a patent application
  • Increase efficiency and improve quality in patent drafting with a practice-tested workflow
  • Hands-on exercises and examples to immediately integrate Generative AI into your own patent drafting practice

Detailed programme

09:00 to 17:00 CET

E-learning: Introduction to AI and to the use of language models in patent drafting
  • How AI works; How an SLM/LLM (Small / Large Language Model) works
  • Cloud vs. local language models
  • Confidentiality, efficiency and reliability aspects
  • Overview of use cases for generative AI in patent drafting

Practical exercise to warm up
  • Programming* of a neural network (*programming skills are not required)

Software infrastructure
  • Overview of software tools
  • Hardware requirements
  • Setting up your work environment

Practical exercise (simple)
  • Introduction to the most important prompting strategies
  • Prompt engineering for simple tasks in the field of patent drafting

First Drafting Stage: Understanding and analysing the invention
  • Practical exercise: AI-supported analysis of the invention, preparing for the inventor interview, compiling material, patent research and defining the invention

Second Drafting Stage: Generation of patent claims
  • Practical exercise: Supportive use of local AI when creating patent claims

Third Drafting Stage: Generation of patent descriptions
  • Practical exercise: Automatic creation of a patent description based on human-generated patent claims using SLMs/LLMs
  • The exercise covers both a ready-to-use solution requiring no coding and an automated solution using custom scripts

Review and post-filing activities
  • Use of SLMs/LLMs for ensuring compliance with quality and style guidelines, supporting and simplifying the jurisdiction-specific adjustments of patent applications

Wrap-up and Q&A Session
  • Open discussion: Addressing questions and sharing experiences
  • Summary: Key takeaways and how to implement local generative AI in patent drafting

More informations

Course materials

The course materials consist of the presentation slides as well as code templates and jupyter notebooks (with instructions on how to use them) that will allow attendees to run basic LLM code in their own environments (provided they have the compute resources). Sebastian will also be demonstrating the specific case studies and be giving enough information away so that a user should be able to build a similar data flow or can supplement her or his own existing workflow.

Intensive learning

A feature of this online course is the restriction of the number of participants to 12, enabling a more intensive learning experience.

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