The setting
Perennial Energy develops community solar gardens and sells subscription slots to households that cannot put panels on their own roofs. You are the legal operations specialist supporting a two-lawyer team buried in vendor, landowner, and utility contracts.
Every mission on this path happens at the same company, so context carries over the way it does in a real job: the data you cleaned in mission two is the data the finance lead questions in mission four.
The missions
1. contract intakestarter
Set up intake for this week's contract queue at Perennial Energy
Fifteen contracts landed in the shared legal inbox this week. With two lawyers stretched thin, anything with a deadline or a missing detail slips unless intake catches it up front.
You deliver: An intake tracker that routes, prioritizes, and flags the week's fifteen contracts.
Scored on: Correct routing, Catches the urgent ones, Flags the missing field, Partner escalation.
Working from: intake_queue.csv, intake_sop.md.
2. clause reviewstarter
Review the Voltaic inverter MSA against Perennial's playbook
PE-1001, the Voltaic inverter supply MSA, is the week's big contract at 410,000 a year. Before it goes to counsel, you do the first-pass clause review so the lawyers spend their time on the real problems.
You deliver: A clause review of the Voltaic MSA with deviations, playbook citations, and proposed redlines.
Scored on: Catches the liability cap, Catches renewal and pricing, Cites the playbook, Proposes redlines.
Working from: voltaic_msa.md, clause_playbook.md.
3. risk flagcore
Rank the Voltaic MSA risks for the deal owner
The head of procurement has a Friday call to decide on the Voltaic MSA and wants a one-page risk flag, ranked, not a wall of redlines. The inverter is single-sourced and the project runs eight years, so some of these clauses matter far more than others.
You deliver: A one-page ranked risk flag memo on the Voltaic MSA with matrix scores and recommended actions.
Scored on: Applies the matrix, Correct ranking, Business consequences, Decision ready.
Working from: voltaic_msa.md, risk_matrix.md.
4. policy draftcore
Draft Perennial's contract signature authority policy
Last quarter two contracts were signed by people who should not have signed them, one of them a 410,000 deal signed with no legal review at all. Leadership wants a signature authority policy so this stops happening.
You deliver: A contract signature authority policy with tiered thresholds, mandatory review, and enforcement.
Scored on: Tiered thresholds, Addresses the gap, Names enforcement, Role clarity.
Working from: signing_log.csv, signing_issues.md.
5. summary memostretch
Write the go/no-go memo on the Okafor ground lease
Perennial wants its next solar garden on the Okafor parcel, and the 25-year ground lease is on the table. Leadership needs a decision memo, and the financing depends on the fine print in ways the business team has not read closely.
You deliver: A go/no-go decision memo on the Okafor ground lease with a recommendation and required changes.
Scored on: Catches the dealbreaker, Commercial summary, Secondary risks, Clear recommendation.
Working from: okafor_lease.md, deal_context.md.
How the scoring works
Each deliverable is graded against the rubric written for that mission. Separately, every mission on every path is graded on how you used AI, against the same four criteria:
- Understood the task. The learner framed the goal for the assistant clearly instead of pasting the brief and hoping.
- Grounded in the material. The learner directed the assistant into the provided files and based the work on them, not on invented facts.
- Verified the output. The learner checked claims, numbers, or coverage against the source material before submitting.
- Iterated with judgment. The learner refined weak parts of the draft with specific follow-ups rather than accepting the first answer.
Both scores, with the work behind them, go on your proof profile. That is what makes a claim like "I can use AI for legal operations" something an employer can check.