Advanced Legal Studies - Semester (75793) | William S. Richardson School of Law
001
520O
LAW
E-Discovery

Law School Description

Faculty members or visiting scholars present selected topics focusing upon subject areas in their area of specialty or expertise.

UH Mānoa Catalog Description

Faculty members or visiting scholars present selected topics focusing upon subject areas in their area of specialty or expertise. (B) topic 1; (C) topic 2; (D) topic 3; (E) topic 4; (F) topic 5; (G) topic 6; (H) topic 7; (I) topic 8; (J) topic 9; (K) topic 10; (M) topic 11; (N) topic 12; (O) topic 13; (P) topic 14; (Q) topic 15.

Notes

The most important part of any civil case is the discovery process. Because important evidence is now available from many sources and stored in many forms (i.e. social media, smartphones, the cloud), today’s attorney must be competent in the identification, collection, preservation, review and production every form of electronically stored informant (“ESI”). The traditional process of document review—involving human beings reading paper—is rapidly being replace by computer programs that can identify, segregate and produce responsive docs. Understanding how ESI is stored, how to properly ask for it, collect it, preserve and produce it will most likely make the difference in any civil case: it will mean the difference between winning and losing at trial, or in summary judgment. It may mean the difference between a successful legal career or sanctions and even legal malpractice claims. The attorney who understands these issues and has a working knowledge of the programs and law related to ESI possesses valuable, practicable and marketable skills—skills and knowledge that many “older,” more experienced attorneys (read: hiring partners) lack. This course will: (1) survey the relevant law, theory and practice of ESI, with a focus on the recent changes to the Federal Rules of Civil Procedure and Evidence (2) discuss the dominant computer algorithmic techniques and principles used in e-discovery (search terms, predictive coding, etc.) and the legal, ethical and technological problems associated with each; (3) teach about actual e-discovery practices from the experts in their fields (the litigation hold, forensic challenges, motions to compel, etc); and (5) provide exposure to some of the leading software programs being used for e-discovery.

Credit(s) for this CRN

1-2

Instructor Approval

No

Competition

No

Bar Course

No

Clinical Requirement

No

Instructor(s)

Class Schedule

M
7:30pm - 9:10pm
W
7:30pm - 9:10pm

Dates

September 28, 2020 to November 11, 2020

Course Reference Number

75793
Account
Pages