The authors — both of whom are veteran legal technology and e-discovery consultants — start out by framing what they call the «
small case dilemma.»
Not exact matches
The typology includes logical problems, algorithmic problems, story problems (which have underlying algorithms with a story wrapper that amounts to an algorithmic problem), rule - using problems, decision - making problems (e.g., cost - benefit analysis), troubleshooting (systematically diagnosing a fault and eliminating a problem space), diagnosis - solution problems (characteristic of medical school and involving
small groups understanding the problem, researching different possible causes, generating hypotheses, performing diagnostic tests, and monitoring a treatment to restore a goal state), strategic performance,
case analysis (characteristic of law or business school and involving adapting tactics to support an overall strategy and reflecting on authentic situations), design problems, and
dilemmas (such as global warming, which are complex and involve competing values and which may have no obvious solutions).
The typology includes: logical problems, algorithmic problems, story problems (which are algorithmic problems with a story wrapper), «rule - using» problems, decision - making problems (e.g., cost - benefit analysis), troubleshooting (systematically diagnosing a fault, eliminating a problem space), «diagnosis - solution» problems (characteristic of medical school, which involve
small groups understanding the problem, researching different possible causes, generating hypotheses, performing diagnostic tests, and monitoring a treatment to restore a goal state), strategic - performance,
case analysis (characteristic of law or business school, which involve adapting tactics to support an overall strategy and reflecting on authentic situations), design problems, and
dilemmas (such as global warming, which are complex and involve competing values, and which may have no solutions).
All is easy and simple, when the empirical data leads to a narrow enough distribution on the basis of the likelihood to make the influence of all plausible priors
small, but in the opposite
case we have the
dilemma of the first paragraph.
This
dilemma stems from the simple fact that many of the leading e-discovery platforms are neither built nor priced for
small cases.
12:00 p.m. — 12:45 p.m.:
Case vignettes distributed and discussion in
small groups of clinical
dilemmas in groups.