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Analytics on Courts, Judges, and Firms

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Presentation on theme: "Analytics on Courts, Judges, and Firms"— Presentation transcript:

1 Analytics on Courts, Judges, and Firms
Centre on the Legal Profession, Deakin Law School Melbourne, Australia Kerry Kassam Product Counsel | Ravel Law

2 MOTION OUTCOMES Original dashboard

3 MOTION OUTCOMES (FILTER APPLIED)
Dashboard with ”Patents” filter applied

4 TOPIC FILTERS Dashboard with ”Patents” filter applied

5 CITED CASES (FILTER APPLIED)
Cited Decisions: “Patents” selected and “prior art” filter applied

6 Heavily Cited Cases Cited Decisions: “Patents” selected and “prior art” filter applied

7 MOTION OUTCOMES BY FIRM
Prototype: Outcomes overview (sample data)

8 Top 10: National overview of motions – Outcome & Volume
Aggregates all district courts. 37% Spread

9 Motions to Dismiss: by Circuit
13% spread

10 Motions to Dismiss: by District (Descending by volume)

11 Motions to Dismiss: by District (Descending grant rate)
30% spread

12 Motions to Dismiss: 9th Circuit
12% spread

13 Motions to Dismiss: Northern District of California
30% spread. Currently serving judges.

14 Judicial Self-Citations || PostgreSQL query on Redshift

15 Judicial Impact || PostgreSQL query on Redshift

16 Thank You Kerry Kassam Product Counsel | Ravel Law
Phone: GitHub: 1337H4x0rz


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