+ All Categories
Home > Education > Open Legal Data Workshop at Stanford

Open Legal Data Workshop at Stanford

Date post: 21-Jan-2017
Category:
Upload: harry-surden
View: 573 times
Download: 0 times
Share this document with a friend
11
Open Legal Data Workshop Stanford University CodeX Center Harry Surden Professor of Law, University of Colorado Affiliated Faculty: Stanford CodeX Center
Transcript
Page 1: Open Legal Data Workshop at Stanford

Open Legal Data Workshop

Stanford University CodeX Center

Harry SurdenProfessor of Law, University of ColoradoAffiliated Faculty: Stanford CodeX Center

Page 2: Open Legal Data Workshop at Stanford

Overview

• Computation has Revolutionized Many Fields

• Law is not one of them

• Data is required for Computational Analysis

• Legal data: neither accessible nor high-quality

Page 3: Open Legal Data Workshop at Stanford

Computational Legal Analysis

• Computational Law (Rules-based, deductive)– Rules-based systems computing legal outcomes– Represent laws in computer-understandable form– Example: Turbotax; Computable contracts

• Machine Learning & Law (often Statistical) – Algorithms that learn patterns from data– Widely Used: self-driving cars, translation, etc– Example: Supreme Court prediction project

Page 4: Open Legal Data Workshop at Stanford

Problem

• Computation has revolutionized:– Finance, medicine, engineering, science, etc.– Machine learning and computation used for• Prediction, automation, outlier detection, analysis, • New drug discovery, etc

• But computation has barely touched law– Why?

Page 5: Open Legal Data Workshop at Stanford

To do computation We need data to analyze

• Think of Law as data to be analyzed– Federal statutes and administrative rules– State and local laws and codes– Judicial orders and opinions– Lawsuit motions and evidence, etc.

Quality legal data not widely available for analysis

Page 6: Open Legal Data Workshop at Stanford

The Legal Data Bottleneck

• Legal data exists, but it is not– Openly accessible (behind pay-walls)– Structured in a way that makes analysis feasible

• Lack of widely accessible legal data– Bottleneck to really interesting work in• Machine learning and Law• Computational law

Page 7: Open Legal Data Workshop at Stanford

For really interesting computational work in law we need

• High-quality legal data that is– Open and Accessible (little or no cost)– Structured (machine readable)– Standardized (common encoding formats)– Coded (human-tagged and organized)– Semantic (embedded with meaning)

Page 8: Open Legal Data Workshop at Stanford

Possibilities

harrysurden.com

Page 9: Open Legal Data Workshop at Stanford

Possibilities

lexpredict.com

Page 10: Open Legal Data Workshop at Stanford

Possibilities

• With high quality, structured legal data:– Predictions of federal, state court decision– Finding patterns or biases in legal data– More computational law systems– Advanced legal data visualizations– Discovery of unknown connections or structures– Outlier detection– ….many more

Page 11: Open Legal Data Workshop at Stanford

Open Legal Data

• Legal data for computation that is:– Open and Accessible (little or no cost)– Structured (machine readable)– Standardized (common encoding formats)– Coded (human-tagged and organized)– Semantic (embedded with meaning)


Recommended