1. Patent Attorneys Attorneys-at-Law Patent Mapping and Patent Families – Case Studies

2. Background Information is required in order to… allow for good patent prosecution provide a basis for portfolio development watch competitors’ patent portfolio react to inquiries help in M&A projects

3. What is Patent Mapping? Patent Mapping… is a tool for assessing large sets of patent data allows the creation of a visual representation of information from and about patent documents in a way that is easy to understand can identify which technical fields particular applicants are active in, and how their filing patterns and IP portfolios change over time helps to find out which countries are particularly active in certain technical fields

4. Who Uses Patent Mapping? Patent Mapping can provide valuable information for… corporate decision-makers investors (venture capitalists, promotional banks) innovators (R&D) influencers (patent offices, policy-makers) management

5. How is a Patent Map created? Gathering of Information: define the data to be included in the analysis choose a database that covers the required information define your query collect data remove “noise” (irrelevant or insufficient information) fine-tune results, e.g., harmonize applicants' names

6. How is a Patent Map created? Quantitative Analysis  statistically analyzing patent information  typically useful data comes from bibliographical information (e.g., number of patent applications, assignees, inventors, or patent classification codes, etc  examples: - number-based analysis - time-based analysis - ranking analysis

7. How is a Patent Map created? Qualitative Analysis  analyzing the content of patent applications/ patents  analysis can be performed by inter-relating technology contents, patent classification codes, assignees, application dates (e.g., selecting a core patent)

8. How is a Patent Map created? Quantitative Analysis Qualitative Analysis Patent Map

9. How is a Patent Map created? Analyzing of Information: carry out a statistical analysis of structured information (bibliographic data, inventors, titles, …) do text mining on unstructured information such as abstracts export data to a spreadsheet / database define the purpose of analysis (technologies, application, …) add categories of information to documents run a statistical analysis check results

10. How is a Patent Map created? Visualizing Results: visualize results of statistical analysis by creating a patent map there are many different kinds of patent maps for various purposes and users various graphs can be used to show the results of statistical analysis

11. Example Patent Maps Source: MaxVal IP

12. Case Studies – Example 1 Starbucks’ Coffee Cup Sleeve U.S. Patent 5,205,473

13. Case Studies – Example 1 Source: IPVision, Inc.

14. Case Studies – Example 2 Car Airbag Chip U.S. Patent 5,345,824

15. Case Studies – Example 2 Source: IPVision, Inc.

16. Case Studies – Example 2 Source: IPVision, Inc.

17. Case Studies – Example 3 Diaper U.S. Patents 4,704,116 and 4,695,278

18. Case Studies – Example 3 Source: IPVision, Inc.

19. Case Studies – Example 4 Monoclonal antibodies for detection/treatment of cancer  number of records filed during 2000 to 2005: >3000  number of records considered for mapping: 127  basis for selection of patent records: Assignees with more than15 patent records Data provided by Lakshmikumaran (India)

20. Case Studies – Example 4 Assignee Distribution

21. Case Studies – Example 4 Ceptyr Corixa Corporation Roche Holding Immunomedics Inc. IBC Pharmaceuticals Activity 1Antagonist of PR092240 10Modulates cell cycle 1Binds to NCA90 or NCA95 392 Inhibition of cancer cell proliferation 2 Inhibition of HGF receptor activation 1878Modulates immune response 1441Modulates apoptosis 1Antagonist of STOP-1 2Binding to human VEGF 662 Binding to specific Antigen/polypeptide 122Induces cell death CuraGen Corporation 1 3 30 IP Activities

22. Case Studies – Example 4 4 + 3 2 4 + 33 + 4 12 + 1 + 3 1 43 + 24 + 11 Prophylactic Therapeutic Detection *Color codes: Main/ independent claim; dependent claim, disclosed Mode of Treatment

23. Case Studies – Example 4 Number of Applications vs. Mode of Treatment and Assignee

24. Case Studies – Example 4 Assignee Number of Applications vs. Type of Cancer and Assignee

25. Case Studies – Example 4 Number of Applications vs. Kind of Disease and Assignee

26. Case Studies – Example 4 Assignee Number of Applications vs. Priority Year and Assignee

27. Case Studies – Example 4 Number of Applications for a particular Assignee vs. Primary IPC Code

28. Case Studies – Example 4 Assigne e Number of Applications vs. Primary IPC Code and Assignee

29. Case Studies – Example 4 Number of Applications of a particular Assignee vs. Country

30. Case Studies – Example 4 Number of Applications vs. Country and Assignee

31. Patent Attorneys Attorneys-at-Law Thank you!