Litigation AI Enablement Sprint
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.
The challenge
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
What we delivered
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
AI capabilities leveraged
NetDocument's ndMax AI Assistant, with Smart Search / semantic search previewed as a next-stage pathway.
Impact
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Shifted internal perception from skepticism to structured experimentation
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Anchored AI usage in daily litigation tasks: chronologies, issue spotting, and summaries
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Created a repeatable adoption model the firm can scale
Knowledge Base
Practical guidance for legal teams adopting Microsoft 365 Copilot. These resources help firms assess readiness, govern risk, and turn Copilot from a licensed tool into a usable operating model.
Copilot Readiness Checklist
Assess whether your Microsoft 365 environment, permissions, data structure, workflows, and pilot group are ready for Copilot. This checklist covers the practical issues legal teams should review before expanding usage.
Copilot Governance Checklist
Define how Copilot should be used safely and consistently across legal work. This checklist covers acceptable use, confidentiality, privilege, human review, data controls, training, and ongoing oversight.