Data and Society
summary
Panel documents concrete wins and hard limits: a startup Lit IQ trains computational linguistics on annotated contracts and case law to surface drafting bugs; law firms process ~5 million docs in months and test Contract Express and document automation but resist cloud and hourly-billing incentives; government faces legacy tech and 2.5–3 year procurement cycles yet tackles a 4.2 million poles $10B replacement problem with predictive analytics; tools mentioned include Ross/Watson, Docassemble, Ethereum and Nitro PDF; hackathons help ideas but rarely deploy.
AI-written summary · about
chapters (7)
- 0:00Introduction to panel
- 1:38Panelist introductions
- 20:10Innovation in law and government
- 32:44Document workflow challenges
- 41:09Audience Q&A begins
- 53:13Advice for startups and innovators
- 1:00:00Closing remarks and thanks
related talks
41mBig Data And The Law: What Every Data Enthusiast Should Know
01h 06mPanel on Interpretability in the Law
50mProgramming The Law: Best Practices
24mData science, apps and civic responsibility
23mBig data and big insights
41mUsing Data Riches: A Tale of two projects
49mCode as Law
01h 26mSaturday Keynotes