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LGTLS101
eDiscovery Foundations for Litigation Support
70 narrated minutes
Three self-paced courses for the people who run discovery: the eDiscovery foundations every analyst needs, defensible generative AI document review, and AI conversations as evidence from legal hold to trial exhibit. Practical, current, and written for litigation support and eDiscovery work.
Start with LGTLS101 if you are new to eDiscovery: it teaches the lifecycle, the federal and Florida rules, and the work from legal hold to production. Then take LGTLS201 and LGTLS202 in either order. LGTLS201 covers running and documenting AI-assisted review. LGTLS202 covers AI chats as a new data source: preserving, collecting, reviewing, producing, and presenting them.
LGTLS101
70 narrated minutes
LGTLS201
71 narrated minutes
LGTLS202
68 narrated minutes
The entry course for new analysts: the analyst’s role, ESI and metadata, the EDRM 2.0 model, the federal and Florida discovery rules, and the work from legal hold through processing, search, review, and production.
Free
View courseVet AI review tools before discovery data touches them, pre-cull with search terms, turn requests for production into review instructions, test against a lawyer-coded sample, validate with sampling, and write the methodology memo.
$35.00
View coursePreserve, collect, review, produce, and present ChatGPT, Claude, and Microsoft Copilot conversations as evidence, from holds and custodian interviews to privilege logs, authentication, and trial exhibits.
$35.00
View course13 to 15 narrated lessons of about four to six minutes each, written for self-directed learning, with the full text in a student handbook.
Scenario exercises built on realistic matters, plus checklists and a quick reference card you can use on live projects.
Scenario-based section quizzes and a 20-question final exam at 80 percent, with explanations for every answer.
Every rule, case, order, and vendor feature is cited to a primary source and labeled with the date it was current.
Run AI-assisted review that counsel can defend, and handle AI conversations as a new source of ESI on your matters.
Vet AI tools for client data, plan collections from AI platforms, and document methods for your clients and their counsel.
Bring AI chats into holds and custodian interviews, and supervise review workflows with clear validation and logging.
These courses are written for litigation support and eDiscovery professionals. They are not designed or offered for CLE credit. Passing the final exam issues a certificate of completion that documents instructional time for your professional development records.
Do I need to take the courses in order?
+Start with LGTLS101 if you are new to eDiscovery. It covers the lifecycle, the rules, and the analyst’s role that the other two courses build on. After that, LGTLS201 and LGTLS202 stand alone and can be taken in either order.
Which review platform or AI tool do I need?
+None in particular. The methods apply to the review platform and AI tools your team already uses. LGTLS202 uses ChatGPT, Claude, and Microsoft Copilot as its examples because they are the conversations most often requested in discovery.
How long does the path take?
+About three and a half hours of narrated instruction across the three courses, plus exercises, quizzes, and finals. Most learners finish a course in one or two sittings.
Is there a certificate?
+Yes. Passing the final exam with 80 percent or higher issues a certificate of completion for each course. These courses are not offered for CLE credit.
Microsoft 365, security, AI governance, and vendor decisions led by a former Director of Legal Technology, without a full-time CIO salary. Start with an assessment or a monthly retainer.
LGTLS101 teaches the eDiscovery lifecycle from legal hold to production: the EDRM 2.0 model, the federal and Florida rules, chain of custody, processing, search, review, and production QC.