Generative AI Workshop for Patent Practitioners
- Specialized skills in using generative AI for patent works
- Hands-on experience in applying generative AI to real-world patent scenarios
- Presented by an AI patent expert
Online-Seminar
From
1.290,00 €
plus VAT
Services & Process
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.
Period:
09:00 to 17:00 CET
Booking details
Online-Seminar
From
1.290,00 €
plus VAT
Services & Process
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.
Period:
09:00 to 17:00 CET
Join our one-day course and discover how to revolutionize your patent work with the power of generative AI. This immersive workshop offers patent attorneys, counsels, and engineers a unique opportunity to gain hands-on experience with generative AI.
Your speaker
Sebastian Goebel
European and German Patent Attorney, Founding Partner, Bösherz Goebel, Meerbusch (Germany)
Sebastian Goebel is a European and German Patent Attorney and the Founding Partner of digital and…
Your speaker
Sebastian Goebel
European and German Patent Attorney, Founding Partner, Bösherz Goebel, Meerbusch (Germany)
Sebastian Goebel is a European and German Patent Attorney and the Founding Partner of digital and decentralized patent boutique law firm Bösherz Goebel in Western Germany. His professional focus is on the protection of digital technologies. Sebastian is passionate about AI and software development, both now and through my 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 a co-chair of the I3PM committee for IP & AI. He received the recognitions as one of AIM Strategy 300: The World's Leading IP Strategists of 2025.
What to Expect
- The potential of generative AI for daily patent work
- Generative AI for the drafting of patent applications
- The applications of Agentic AI in patent departments and patent law firms
- Generative AI for prosecution, litigation and patent search
- Ask-your-data with retrieval augmented generation
- How to implement generative AI in day-to-day patent work
Who Should Attend
Do you work as a patent attorney, patent counsel or patent engineer and seek to integrate generative AI into your daily work?
Then this is the right course for you. Basic knowledge of how generative AI works is assumed. Programming knowledge is not required. Initial experience with prompting is helpful. Commercial IP GenAI tools will not be presented.
Objective of the Event
Generative AI (GenAI) now offers a wide range of applications for patent-related tasks.
During the course, participants will delve into the various use cases of generative AI in patent-related tasks. Key areas of focus will include how generative AI can enhance the efficiency and accuracy of patent searches, assist in the drafting of patent applications, and offer innovative solutions to complex technical queries in the patent field. The curriculum is structured to provide practical, hands-on experience, ensuring
that attendees gain not only theoretical knowledge but also the skills to apply generative AI directly in their patent work.
By the end of the course, attendees will be well-prepared to integrate generative AI into their workflow, leveraging its capabilities to stay at the forefront of technological advancement in the patent sector.
Your Benefit
- Attendees will leave with improved efficiency and precision in handling patent tasks, having learned to effectively utilize generative AI for searches, drafting, and analysis.
- They will gain practical experience in applying generative AI to real-world patent issues, equipping them with the ability to tackle complex challenges using AI.
- Participants will develop specialized skills in integrating generative AI into their patent practices, preparing them for the evolving landscape of AI in patent law.
Programme
09:00 - 17:00 CET
- How AI and LLMs (Large Language Model) work
- Confidentiality, efficiency and reliability aspects
- Experiments with local and cloud language models
- Optional: Programming* of a neural network (*skills not required)
- Prompt Engineering: introduction and practical exercise for common patent tasks
- Hallucinations; improving the LLM results
- How to efficiently and securely combine cloud and local AI for patent work
- Agentic AI: introduction and practical exercise for patent work
- Implementation of the 'Human-in-the- Loop' principle
- Practical exercise: Use cases for agentic AI in patent work
- What is an embedding model
- What is retrieval augmented generation (RAG)
- Use case: Ask-your-data with RAG
- Practical exercise: How to analyse extensive documents?
- Use case: Filtering search results with generative AI
- Use case: Automation of patent searches and infringement detection searches
- Practical exercise: Automation of searches based on invention disclosures
- Creating customized DIY solutions, e.g. for drafting in different languages
- Use case: Streamlining patent drafting
- Practical exercise: LLM-generated patent and description based on human-drafted patent claims using LLMs
- Use case: Streamlining prosecution
- Practical exercise: Office action response generation
- Introduction to the concept of Fine-Tuning
- Training data preparation
Introduction to AI & LLM (recorded session)
Introduction to AI & LLM (recorded session)
- How AI and LLMs (Large Language Model) work
- Confidentiality, efficiency and reliability aspects
Practical exercise to warm up
Practical exercise to warm up
- Experiments with local and cloud language models
- Optional: Programming* of a neural network (*skills not required)
Basic GenAI
Basic GenAI
- Prompt Engineering: introduction and practical exercise for common patent tasks
- Hallucinations; improving the LLM results
- How to efficiently and securely combine cloud and local AI for patent work
Advanced GenAI: Agentic AI
Advanced GenAI: Agentic AI
- Agentic AI: introduction and practical exercise for patent work
- Implementation of the 'Human-in-the- Loop' principle
- Practical exercise: Use cases for agentic AI in patent work
Introduction to Embeddings and RAG
Introduction to Embeddings and RAG
- What is an embedding model
- What is retrieval augmented generation (RAG)
- Use case: Ask-your-data with RAG
- Practical exercise: How to analyse extensive documents?
Advanced GenAI: Prompting and
Coding for Patent Search and Analysis
Advanced GenAI: Prompting and Coding for Patent Search and Analysis
- Use case: Filtering search results with generative AI
- Use case: Automation of patent searches and infringement detection searches
- Practical exercise: Automation of searches based on invention disclosures
Advanced GenAI: Promting and
Coding for Patent Drafting
Advanced GenAI: Promting and Coding for Patent Drafting
- Creating customized DIY solutions, e.g. for drafting in different languages
- Use case: Streamlining patent drafting
- Practical exercise: LLM-generated patent and description based on human-drafted patent claims using LLMs
Advanced GenAI: Promting and
Coding for Patent Prosecution
Advanced GenAI: Promting and Coding for Patent Prosecution
- Use case: Streamlining prosecution
- Practical exercise: Office action response generation
Advanced Generative AI: Fine-Tuning
Advanced Generative AI: Fine-Tuning
- Introduction to the concept of Fine-Tuning
- Training data preparation
Downloads
Request the documents using our form.
Brochure
Weitere Informationen
A message from the speaker
Here is a video message from Sebastian Goebel, the speaker of the course. Sebastian shares some thoughts on generative AI and the upcoming course:
Workshop materials
The workshop materials consist of an Elearning on the basics of AI and LLM, additional videos with instructions, presentation slides as well as prompt templates and jupyter notebooks (with instructions on how to use them and VBA code) that will allow attendees to run basic LLM code in their own environments (provided they have the compute resources).
Regarding the specific case studies, the speaker will provide basic Jupyter notebooks that the participants can use as templates. The speaker will provide enough information
so that a user who can program can also develop more complex individual solutions.
For the exercises in the workshop, it is useful for participants to be able to use Colab (free with a Google account) and any chatbot such as ChatGPT, Claude or Microsoft Copilot, ideally in a pro version.
Intensive learning
A feature of this online course is the restriction of the number of participants to 12, enabling a more intensive learning experience.
FORUM IP Talks: Sebastian Goebel on GenAI in patents and the fear of "being replaced by AI"
Generative AI in patents and the fear of "being replaced by AI" were the topics of the FORUM IP Talk with our speaker Sebastian Goebel. You can read the interview here.
Our Recommendations
Further Information
Your Contact Person
We are happy to advise you personally and individually.
Jean-Claude Alexandre Ho, LL.M.
Deputy Department Manager
+49 6221 500-675
jc.alexandreho@forum-institut.de