シミュレーションシナリオ
The conference room at Whitfield LLP has been set up as a working session. Dr. Elena Vasquez has posted the prompt library audit results on the screen: 67% corporate-centric prompts, 35% firm-wide usage rate, three practice groups building parallel systems. The Nexagen near-miss report is in everyone's folder. James Okafor sits at one end of the table, the audit numbers feeling like an indictment of his team's work. Michael Torres sits opposite, his annotated copy of the Nexagen licensing agreement ready to make his case. Lena Park has her laptop open to a prototype modular architecture she built over the weekend. Everyone knows the managing partner wants a recommendation by Friday.
ステークホルダーと役割
modules.m6.simulation.stakeholdersSubtitle
Dr. Elena Vasquez — Knowledge Management Director
プロフィール
The convener and moderator. She must guide the group to consensus while protecting the centralized prompt library model she built. Her credibility — and her budget — depend on demonstrating that a unified approach is viable.
目的
- Achieve agreement on a prompt architecture that all practice groups will actually use
- Establish a governance framework with clear ownership, approval, and maintenance processes
- Present a credible plan to the managing partner by Friday that justifies continued KM investment
制約
Vasquez has no line authority over any of the attorneys in the room. Her influence depends entirely on the strength of her proposals and her facilitation skills.
限定情報
The managing partner has privately told Vasquez that if the prompt library cannot demonstrate cross-practice viability, the firm will defund the centralized KM function and let each practice group manage its own AI tools. This would effectively end her role at the firm.
James Okafor — Corporate M&A Partner
プロフィール
The prompt library champion whose team's work is both the initiative's greatest success and the source of its biggest failure. He believes the corporate prompts are fundamentally sound and that the IP incident was a deployment problem, not a design problem.
目的
- Maintain the corporate prompts as the library's foundation and standard
- Ensure his team receives credit and formal responsibility for core prompt development
- Resist any architecture that would require his team to significantly redesign prompts that already work
制約
Okafor genuinely believes the prompts work. He also has a personal investment in the initiative's success — he has been positioning himself for the firm's managing committee and the AI leadership role is central to his candidacy.
限定情報
Okafor has learned that the employment group's parallel prompt collection has produced better results in employment-specific contract review than his corporate prompts. He has not shared this with the group. He is also aware that two of the firm's corporate clients have asked why their review turnaround has not improved as promised.
Michael Torres — Senior IP Attorney
プロフィール
The domain expert whose near-miss with the Nexagen agreement crystallized the prompt library's cross-practice limitations. He is not opposed to standardization but insists that domain accuracy must take priority over uniformity.
目的
- Secure IP group authority over all prompts used on IP matters — no exceptions
- Establish mandatory domain-appropriateness review before any prompt is approved for cross-practice use
- Ensure the Nexagen-type failure cannot recur, even if it means slowing down the library's expansion
制約
Torres needs AI efficiency — his group is the firm's most understaffed relative to workload. He cannot afford to reject the prompt library entirely.
限定情報
Torres has quietly tested a modified version of the corporate prompt with IP-specific additions he wrote himself. It caught the Nexagen issues and performed comparably to the original on standard commercial terms. He has not shared this with Dr. Vasquez or Okafor because he wants the IP group to control its own prompt development.
Lena Park — Senior Associate, Corporate Group
プロフィール
The prompt engineer who built the original templates and has since developed a prototype modular architecture that could resolve the standardization-customization debate. She has the technical solution but must navigate partnership politics to get it adopted.
目的
- Present her modular architecture proposal and gain buy-in from all practice groups
- Establish a formal Prompt Engineering Lead role for herself within the firm's AI governance structure
- Ensure any adopted architecture maintains the testing rigor and quality standards she built into the original prompts
制約
Park is an associate presenting to partners. She must be assertive enough to be heard but diplomatic enough not to threaten anyone's authority or ownership claims.
限定情報
Park has already built a working prototype of the modular architecture with a base layer and two overlays (corporate and IP). In testing, the IP overlay caught the Nexagen issues while maintaining 96% detection on standard corporate terms — outperforming the original prompt. She also has usage analytics showing that 80% of prompt library failures occur when prompts are used outside their original domain.
ルール
所要時間
60-90 minutes total: 15 minutes preparation, 35-50 minutes working session, 10-25 minutes debrief
コミュニケーション
Open working session facilitated by Dr. Vasquez. All participants may present proposals, debate, and negotiate. The goal is a written recommendation, not just a discussion.
決定方法
The group must produce a one-page written recommendation for the managing partner covering: (1) prompt architecture, (2) governance framework, and (3) implementation timeline. All participants must be willing to sign the recommendation.
フェーズ
Preparation (15 minutes)
Each participant reviews their role card, exclusive information, and the audit results. Prepare your position, identify your priorities and negotiating leverage, and consider what concessions you can make. Lena Park should prepare a brief presentation of her modular architecture proposal.
Working Session (35-50 minutes)
Dr. Vasquez opens by presenting the audit findings and framing the question: how do we build a prompt library that is both unified and domain-accurate? Each participant presents their perspective. Lena Park presents the modular architecture proposal. The group debates, negotiates, and iterates toward a written recommendation. Key decision points: centralized vs. federated control, mandatory domain review, governance authority, and resource allocation.
Recommendation Drafting (10-25 minutes)
The group drafts a one-page recommendation for the managing partner. Each participant reviews the draft and states whether they can sign it. If disagreements remain, the group must negotiate final compromises or document dissenting positions. Dr. Vasquez summarizes the agreed framework.
modules.m6.simulation.simVariationsTitle
- What if the Nexagen issue had reached the client? Replay the scenario assuming Torres did not catch the patent assignment clause and Nexagen discovered it in the final agreement. How does a client-facing failure change each participant's position and the urgency of the negotiation?
- What if the managing partner joins the meeting? Midway through, the managing partner enters and announces the firm has received an acquisition inquiry from a larger firm that cited Whitfield's AI capabilities as a key attraction. How does this external validation — and pressure — change the dynamic?
- What if Lena Park's data reveals a broader problem? During the meeting, Park reveals that her analytics show prompt library failures have affected three other client matters that were never reported. How does this new information shift the group's risk calculus and the urgency of the governance framework?
デブリーフィング
modules.m6.simulation.debriefSubtitle
役割の振り返り
- What was your primary negotiation strategy? Did it work as planned, or did you have to adapt?
- Which of your objectives did you achieve? Which did you have to compromise on?
- How did your exclusive information affect your negotiation position? Did you share it? Why or why not?
- Was there a moment where the dynamic shifted? What caused it?
Knowledge & Authority
- Who had the most influence in the room: the partner, the domain expert, the KM director, or the technical associate?
- How did Lena Park's associate status affect how her proposal was received? Was the technical merits of her solution sufficient to overcome the authority gap?
- Did the group's recommendation reflect the best available solution, or the solution that the most powerful person in the room preferred?
Recommendation Assessment
- Is the recommended architecture technically feasible and practically implementable?
- Does the governance framework have clear accountability? If a prompt fails in production, who is responsible?
- Would the recommended system have prevented the Nexagen incident? Test it against the specific facts.
- Is the recommendation genuinely cross-practice, or is it still biased toward the corporate group's perspective?
実世界への応用
- Does your organization have shared AI tools or prompt libraries? What governance framework exists — or is missing?
- What is the biggest lesson from this simulation for how your organization should manage AI knowledge assets?
- How should firms balance efficiency-driven standardization with accuracy-driven specialization in AI tools?
- Identify one specific action you will take within the next 30 days based on what you learned in this simulation.
参考文献・出典
Knowledge Management & Prompt Governance
- ABA Model Rules of Professional Conduct, Rules 1.1 and 5.1 — Technology competence and supervisory obligations
- Susskind, Richard — "Tomorrow's Lawyers" (Oxford University Press) — The future of institutional legal knowledge
- Harvard Business Review, "Managing AI Knowledge Assets in Professional Services" — Governance frameworks for shared AI tools
- International Legal Technology Association, "Prompt Library Best Practices for Law Firms" (2025)
Prompt Engineering & Architecture
- OpenAI, "Prompt Engineering Guide" — Modular prompt design patterns
- Thomson Reuters, "Cross-Practice AI Tool Deployment in Law Firms" (2025) — Lessons from early adopters
- MIT Sloan Management Review, "The Modular Organization" — Architectural principles for shared knowledge systems
- Georgetown Law Center on Ethics and the Legal Profession, "AI Tool Governance in Multi-Practice Firms" (2025)
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