AI. See Artificial Intelligence
Amazon, 10
Artificial Intelligence (AI), 1, 5, 6, 10, 23, 27, 31, 102, 116, 117, 124
as 4th Revolution, 32
application issues with lawyers, 118–119
as a tool, 23
and Augmented Human Intelligence, 24
vs. deep learning, 6
and employee privacy rules, 36
and employer policies, 40–42
issues with, 28
and prediction, 27
and quantum computing, 123–124
Augmented Human Intelligence, 24
automated assistants, 10, 11
Becker, Michael G., 3
Benioff, Marc, 5
Big Data, 32, 123
blockchain, 86, 93, 111
adverse risks, 88
and Classified Examples, 87, 89,111
and Consensus Number, 91
issues with, 87
owner vs. modeler, 89–90, 93, 94, 111–112
product liability, 92
trade secrets, 92
Brown, Lewis M., 54
business application, 12, 14, 15
communication risks, 77, 78
computer technology resource (CTR) policy, 35, 42
employers role, 40–42
and Federal Trade Commission, 43
for employees, 36, 103
and Internet of Things, 42–43
contract, 79, 90, 94
ambiguity issues in, 78
deep learning in drafting, 79–80
Convolutional Neural Network (CNN), 9, 15, 16, 18, 95
dangerous document, 76
deep learning, 1, 5, 6, 10, 12, 13, 17, 21, 26, 28, 32, 45, 53, 57, 65, 69, 72, 75, 77, 83, 87, 94, 97, 101, 103
vs. Artificial Intelligence, 6, 32
applications, 14, 15, 18, 110
binary nature of, 104
and blockchain, 87, 91, 93, 95
and images, 12, 13
and pattern matching, 22, 25, 110
supervised learning, 21
training data, importance of, 60–61, 63, 76, 77, 84, 87, 89
and words, 17
Early Case Assessment (ECA), 97–98
e-discovery, 97
Early Case Assessment, 97, 98
purpose of, 97
Federal Trade Commission (FTC), the, 43
images, 9, 11, 12, 13, 95
indexing. See Latent Semantic Analysis
Inmon, Bill, 2
innovations, 46. See also patents
Internet of Things (IoT), 42, 43
Khosla, Vinod, 5, 47
Latent Semantic Analysis (LSA), 18
advantages of, 19
and context, 19
liability theory, 75
linguistic theory, 18
and context, 18, 20, 61, 70
list, keywords, 18
litigation, 2, 5, 6, 33, 34, 53, 54, 72, 75, 80, 97, 101, 102, 110
cost of, 33, 54, 55, 102
hotlines, 102, 117
post-litigation, 98–99, 102
predicting, advantages of, 34–35, 58f, 72, 101, 110
product liability, 75, 77, 92
risks, 2, 33, 47, 53, 55, 70, 77, 101
Meta Mind, 3, 5, 68
Ng, Andrew, 31, 32
patents
blockchain, 86, 88, 93, 97, 111
contract failure, 78–80
dangerous documents, 75–78, 92
elements of, 51
entertainment industry, 81–84
finding of, 51–52
medical risks, 84–86
on deep learning, 45, 45f
and parent patents, 52–53
Petition to Make Special, 48, 49
See also innovation
pattern matching, 22, 25. See also deep learning
Preventing Litigation, 2, 32, 54
Public Access to Court Electronic Records (PACER), 58, 59, 78, 103, 104, 105, 108, 110
Quantum Computing (QC), 123, 124
Recurrent Neural Networks (RNN), 17, 18, 61, 72, 77, 105
and linguistic theory, 18
and vectors, 18, 61
Socher, Richard, 5, 6, 21
supervised learning, 21, 87
Tesla, 10
United States Patent and Trademark Office (USPTO), the, 3, 47
User Interface (UI), 66, 105, 106
vectors, 18, 19, 22, 61
and deep learning, 19
GloVe, 21
number strings, 19
Walmart, 10
Waymo, 12, 13