Big Data And The Law: What Every Data Enthusiast Should Know
summary
Legal practice now uses e-discovery, litigation analytics and electronic forensics to handle massive data: tens of millions of patents complicate freedom-to-operate reviews, venue rules (e.g., TC Heartland) shift filing patterns, and predictive models estimate judge outcomes and case duration. Trade secret suits rise with over 80% involving a former employee; forensic tools recover wiped devices and multiple deleted file versions; specialized e-discovery firms build targeted search pipelines to find the few relevant documents among thousands.
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chapters (14)
- 0:00Introduction to session
- 1:50Big data and law overview
- 3:13Legal field slow to adopt big data
- 6:01Precedent-based legal system limits
- 9:30Volume and e-discovery challenges
- 12:57Electronic discovery evolution
- 16:25Trade secret litigation with individuals
- 21:01Forensics and data recovery
- 23:10Litigation analytics and predictions
- 28:48Big data in non-litigation contexts
- 32:40Venue and case law analytics
- 35:08Patent and trade secret examples
- 38:21Trade secrets and big data
- 39:24Opportunities and call to action
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