Drafting the Future: GenAI in Patents
(2024) INTM01 20241Innovation Engineering
- Abstract
- This master thesis exploratively investigates the customer value provided by innovative GenAI solutions, such as the studied Lightbringer tool, in the patent application process. The research primarily examines how different customer segments; IP firms, small-scale innovative firms, and large-scale innovative firms perceive the usefulness of GenAI technologies. Through a combination of semistructured interviews and case study analysis, this study addresses three central research questions: what customer value is created, the obstacles and fears encountered by potential customers, and the firm characteristics that drive the usefulness of GenAI solutions in patent drafting.
The findings reveal that GenAI solutions enhance efficiency and... (More) - This master thesis exploratively investigates the customer value provided by innovative GenAI solutions, such as the studied Lightbringer tool, in the patent application process. The research primarily examines how different customer segments; IP firms, small-scale innovative firms, and large-scale innovative firms perceive the usefulness of GenAI technologies. Through a combination of semistructured interviews and case study analysis, this study addresses three central research questions: what customer value is created, the obstacles and fears encountered by potential customers, and the firm characteristics that drive the usefulness of GenAI solutions in patent drafting.
The findings reveal that GenAI solutions enhance efficiency and quality in patent applications by automating routine tasks and improving accuracy, which are highly valued across all customer segments. However, concerns about the accuracy of AIgenerated content and the handling of legal nuances present barriers to adoption. Furthermore, the study identifies distinct needs and preferences across customer segments, implying the need to deal with them separately for each customer segment.
This thesis contributes to the field by providing empirical evidence of GenAI:s impact on the patent application process and offers insights into the market dynamics and customer differences in this industry. The research suggests further examination of the gains and pains found in the study and the proposed gain creators and pain relievers as well as research into the integration of GenAI tools within broader IP management strategies and their longitudinal effects on patent quality and innovation cycles. (Less) - Popular Abstract
- The patent application industry is on the brink of a GenAI-led revolution. The tedious and repetitive traditional process stands to gain significant improvements with the help of GenAI solutions. General benefits such as time efficiency, cost reduction and improved quality can be paired with firm-specific gains such as a willingness to patent more, innovative business models and a focus towards more value creating tasks.
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9160215
- author
- Rehnström, Dante LU and Johansson, Alex
- supervisor
- organization
- alternative title
- Subtitle: Exploring Customer Value of Innovative Generative AI Solutions in Patent Application Processes
- Forma framtiden: GenAI inom patent
- course
- INTM01 20241
- year
- 2024
- type
- H2 - Master's Degree (Two Years)
- subject
- keywords
- Generative AI, patent applications, customer value, patent drafting, technology adoption
- language
- English
- id
- 9160215
- date added to LUP
- 2024-06-14 14:58:26
- date last changed
- 2024-06-14 14:58:26
@misc{9160215,
abstract = {{This master thesis exploratively investigates the customer value provided by innovative GenAI solutions, such as the studied Lightbringer tool, in the patent application process. The research primarily examines how different customer segments; IP firms, small-scale innovative firms, and large-scale innovative firms perceive the usefulness of GenAI technologies. Through a combination of semistructured interviews and case study analysis, this study addresses three central research questions: what customer value is created, the obstacles and fears encountered by potential customers, and the firm characteristics that drive the usefulness of GenAI solutions in patent drafting.
The findings reveal that GenAI solutions enhance efficiency and quality in patent applications by automating routine tasks and improving accuracy, which are highly valued across all customer segments. However, concerns about the accuracy of AIgenerated content and the handling of legal nuances present barriers to adoption. Furthermore, the study identifies distinct needs and preferences across customer segments, implying the need to deal with them separately for each customer segment.
This thesis contributes to the field by providing empirical evidence of GenAI:s impact on the patent application process and offers insights into the market dynamics and customer differences in this industry. The research suggests further examination of the gains and pains found in the study and the proposed gain creators and pain relievers as well as research into the integration of GenAI tools within broader IP management strategies and their longitudinal effects on patent quality and innovation cycles.}},
author = {{Rehnström, Dante and Johansson, Alex}},
language = {{eng}},
note = {{Student Paper}},
title = {{Drafting the Future: GenAI in Patents}},
year = {{2024}},
}