Litigation AI Enablement Sprint

Turning AI skepticism into daily litigation leverage

Client profile

Mid-sized complex civil litigation firm with lean administrative support and partner-led operations.

General skepticism toward AI across attorneys and staff

Confidentiality and data security concerns around using live documents

Need for litigation-focused training rather than generic contract-drafting demos

Desire to get more out of existing tools before investing in new ones

A structured AI Adoption Training Sprint — not a one-off demo.

Foundations session covering how large language models work, their limitations, and responsible usage

Secure in-repository training using approved documents

Office hours access to reinforce learning between sessions

Litigation-specific workflows for discovery review and chronology generation

Two-session format to improve absorption and adoption

NetDocument's ndMax AI Assistant, with Smart Search / semantic search previewed as a next-stage pathway.

Shifted internal perception from skepticism to structured experimentation
Anchored AI usage in daily litigation tasks: chronologies, issue spotting, and summaries
Created a repeatable adoption model the firm can scale