IP asset management can be significantly enhanced by utilizing advanced database systems like Neo4j, which automate the evaluation and connection of relevant data in real-time, eliminating the need for manual analysis by IP professionals. Neo4j's graph data science algorithms facilitate three key types of information queries: examining single items, understanding the connections between multiple items, and identifying causes and effects in IP asset setups. These capabilities improve IP filing strategies by considering global market coverages and evaluating patent claims, enhance licensing with better distinction of terms and competitive fees, and aid in identifying patterns with high infringement potential for litigation purposes. The visualization of IP assets using Neo4j's tools, such as Neo4j Bloom, allows for intuitive understanding and can complement existing IP Asset Management systems by providing comprehensive insights into the relationships and dependencies within IP portfolios.