Name
Abstract | ||
|---|---|---|
This overview of computing for law considers the perspective of legal firms, before turning to differences of jurisdiction, to regulatory changes, to implications for staffing and access to justice. After a taxonomy of applications, a section on procedural support systems is followed with ones on discovery, on predicting the likely outcome of litigation, on argumentation, on case-based automated reasoning and abductive reasoning (dealing in a subsection with descriptive vs prescriptive software for modeling or supporting sentencing), and then to various artificial intelligence approaches to legal evidence. Before concluding, we consider the Bayesian controversy among legal evidence scholars. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1080/01969722.2018.1447766 | CYBERNETICS AND SYSTEMS |
Keywords | Field | DocType |
Access to justice,artificial intelligence for legal evidence,computing for law,modeling of argumentation,predicting the likely outcome of litigation,software for modeling or supporting sentencing | Automated reasoning,Staffing,Engineering ethics,Argumentation theory,Computer tools,Jurisdiction,Abductive reasoning,Artificial intelligence,Mathematics,Machine learning,Likely outcome,Legal evidence | Journal |
Volume | Issue | ISSN |
49.0 | 4 | 0196-9722 |
Citations | PageRank | References |
0 | 0.34 | 12 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ephraim Nissan | 1 | 164 | 21.59 |