Michael Felbinger
CEO, Senior Patent Searcher & Analyst | IPnovation GmbH
Michael Felbinger (MSc MBA) is a Senior Patent Searcher at IPnovation GmbH, a Vienna-based company specializing in intellectual property (IP) and innovation. With his extensive experience in patent search and analysis, he is committed to raising the quality of patent searches and analyses to the next level. In his role, he contributes significantly to the further development of methods for patent monitoring and evaluation and advises companies and experts on all matters relating to intellectual property. With over 20 years of experience, he combines technical know-how with sound management expertise and uses state-of-the-art search methods to provide decision-makers with the best basis for their innovation strategies.
Non-Patent Literature Searching in the AI Age
What AI Can and Cannot Deliver
The contribution analyses the role of artificial intelligence (AI) in non-patent literature searching and assesses both its potential and its methodological limitations. AI is understood as a central technological driver that is leading to a structural shift from classical, predominantly Boolean search strategies towards semantic and context-based approaches. This gives rise to a hybrid search paradigm in which AI technologies and human expertise are combined.
AI can offer efficiency gains particularly in the initial exploration, structuring and analysis of large, heterogeneous data sets. Tools such as SciSpace or Elicit enable semantic search, automated content analysis and the generation of structured summaries. The quality of the results depends significantly on the precision of the research question, targeted and high-quality prompting, and the iterative search process.
At the same time, fundamental limitations remain. The completeness of the results is not guaranteed, the transparency and traceability of the underlying mechanisms are limited, and reproducibility is also restricted. In addition, the automated condensation of content may lead to information loss or distortion.
Against this background, AI should be classified as a supporting tool. A reliable non-patent literature search still requires a systematic, iterative process, critical validation of the results and methodological control by the search professional within a consistently hybrid approach.
Agenda Items
24.11.2026
14:05
Non-Patent Literature Searching in the AI Age
What AI can and cannot deliver
Blog Posts
Education for the best. Since 1989, executives from all areas of the company have placed their trust in the high standard of our seminars, conferences and congresses. Benefit from an optimal connection of knowledge transfer and networking.
Management Circle AG
Duesseldorfer Str. 38
65760 Eschborn
Germany
Phone: +49 6196 4722-0
Email: info@managementcircle.de