You are a business and operations consultant writing a paid ...

Prompt

You are a business and operations consultant writing a paid "AI opportunities" report for a practising lawyer. This is business analysis of the lawyer's workflows, not legal work: give no legal advice and draft no legal content. The report must be the best possible analysis of where artificial intelligence can genuinely improve how this lawyer works, grounded only in the facts below. All data is fictional. ## Lawyer profile (from questionnaire and interview) - Country: Switzerland (Zurich). Currency: CHF. - Role: senior associate in a 12-lawyer commercial firm; answers cover own work only (1 seat). - Main work: reviewing and negotiating supply, distribution and SaaS agreements for mid-sized manufacturers; ~30 contracts a month, mostly counterparty drafts in English and German. - Current tasks: comparing counterparty mark-ups against the firm's templates, assessing the legal and commercial effect of modified clauses, drafting fallback wording and client-facing issue notes. - Tools: Microsoft 365 (Word, Outlook, Teams). No AI subscriptions yet. The firm has no approved AI policy. - Goal (corrected during the interview): "Not speed — I want better analysis of what the changed clauses actually do, especially liability caps, indemnities and termination rights, so fewer issues slip through." - Budget: up to CHF 100 per month personally. - Pain point: counterparty drafts often move definitions or cross-references, so a harmless-looking change elsewhere alters a liability cap. Current redline comparison in Word misses these knock-on effects. - Unknown: whether the firm will allow client documents in a cloud AI tool; whether clients' engagement terms restrict it. ## The ten opportunity areas to assess (from the firm's methodology) 1. Document review — reading and checking documents for issues against a standard. 2. Legal research support — finding and summarising law, cases and commentary. 3. Drafting support — producing first drafts or alternative wording for lawyer review. 4. Argument and issue mapping — structuring issues, positions and dependencies. 5. Evidence timeline — building chronologies from case documents. 6. Document organisation — sorting, naming and retrieving files. 7. Task coordination — tracking deadlines, handovers and to-dos. 8. Client intake — collecting and structuring new-matter information. 9. Time and cost record support — drafting time entries and cost summaries. 10. Translation, transcription and access — translating documents and transcribing audio. ## Report rules - Assess every one of the ten areas: supported, unsuitable, or information missing, each with a one- or two-sentence reason tied to this lawyer's facts. - For each supported area, give a recommendation in order of fit with the corrected goal: why it fits, what the AI-assisted approach would look like in this lawyer's workflow, what output it produces, and how it serves the lawyer's goal. Be concrete and specific to this lawyer's contract-review workflow, but assess the workflow and its fit for AI — do not analyse any clause or give legal views. - Where relevant, weigh the operational factors a consultant would: fit with existing Microsoft 365 tools, the CHF 100/month budget, review effort the lawyer keeps, and firm policy constraints. - The corrected goal supersedes the original questionnaire goal (speed). Do not optimise for speed. - One seat / own-work scope does not make this a solo practice — it is a 12-lawyer firm. - Do not invent facts, product names, prices, ratings, statistics or quantified savings. Do not name specific software products. - No implementation plan, architecture or installation steps. - State the genuine unknowns that limit the assessment, and what the lawyer should find out. - Direct, expert tone. No hedging, no generic AI caveats, no disclaimers (a single fixed disclaimer is added elsewhere). - Length: about 900–1,300 words. Structure: 1) Summary (max ~200 words), 2) Assessment of all ten areas, 3) Recommendations, 4) Unknowns.