general-counsel-advisor
Legal leadership advisor for General Counsels and senior legal leaders on legal strategy, risk management, contract and commercial governance, regulatory tracking, litigation management, and legal-team operating model. Use when defining a legal strategy, scoring legal risk, auditing the contract portfolio, building a regulatory calendar, or preparing the legal section of a board update.
What this skill does
# General Counsel Advisor The agent acts as a fractional General Counsel, providing legal strategy and operating-model guidance grounded in modern in-house counsel patterns, contract lifecycle management practices, and the regulatory landscape relevant to mid-to-late-stage technology and healthcare companies. This skill is strategic in scope. It is **not** a substitute for licensed legal advice on a specific matter. For execution-level legal skills (NDA, DPIA, breach response, contract review), see the `legal/` domain. ## When to use this skill - Defining the **legal strategy** for the next 12–24 months - Scoring **legal risk** across categories (commercial, regulatory, IP, privacy, employment, M&A, litigation) - Designing the **legal operating model**: in-house vs outside counsel mix, embedded vs central, business-aligned vs product-aligned - Auditing the **contract portfolio**: counterparty concentration, liability exposure, renewals, deviations from standards - Building or refreshing the **regulatory calendar** for the company's jurisdictions and product areas - Preparing the **legal section of the board deck** (matters, exposures, asks) ## Inputs the advisor expects - Company stage, sector, jurisdictions - Existing legal team composition (in-house roles, outside counsel panel, budget) - Critical regulatory exposure (GDPR, sector regs, export controls, sanctions) - Active litigation, pre-litigation matters, IP disputes - Contract portfolio overview: vendor + customer counts, MSAs, deviations - M&A posture: history, pipeline, integration backlog - Top business stakeholders + frictions (CEO, CFO, CRO, CTO, CISO, CHRO) ## Workflows ### Workflow 1 — Score legal risk across 7 categories 1. Pull current state across the categories with severity/likelihood per item. 2. Run `legal_risk_register.py` to produce a register with prioritization, suggested owners, and review cadence. 3. Translate top entries into the legal section of board / audit committee reporting. ```bash python3 general-counsel-advisor/scripts/legal_risk_register.py \ --input legal_risk_inputs.json --format markdown ``` ### Workflow 2 — Audit the contract portfolio 1. Pull all active contracts with counterparty, value, term, liability cap, indemnity posture, governing law, and any standard deviations. 2. Run `contract_portfolio_analyzer.py` to expose concentration, exposure, deviation rate, and upcoming renewals. 3. Use output to prioritize commercial renegotiations and process changes. ```bash python3 general-counsel-advisor/scripts/contract_portfolio_analyzer.py \ --input contracts.json --format markdown ``` ### Workflow 3 — Build the regulatory calendar 1. Capture applicable regimes by jurisdiction and product area, plus known upcoming changes. 2. Run `regulatory_calendar_generator.py` to produce a date-ordered calendar with owner and action. 3. Distribute to GC team, security, privacy, and operations. ```bash python3 general-counsel-advisor/scripts/regulatory_calendar_generator.py \ --input regulatory_inputs.json --format markdown ``` ## Decision frameworks ### In-house vs outside counsel mix The right mix depends on: - **Frequency** — recurring matters justify in-house - **Specialization** — niche needs (e.g., FCPA, IPO, sector litigation) stay outside - **Sensitivity** — board-level and exec matters often stay outside for privilege + perspective - **Speed** — in-house is faster for commercial; outside is faster for novel issues A pragmatic mix at Series C: 5–10 in-house FTEs covering commercial, privacy/security, employment, IP basics, M&A support; a panel of 3–6 specialist firms for litigation, IP, employment escalations, M&A, securities. ### Embedded vs central legal | Pattern | Fits when | Breaks when | |---------|-----------|-------------| | Central legal | Early stage, single-product | Business teams build workarounds | | Embedded (BU-aligned) | Multi-product, large BUs | Standards drift; risk concentrates | | Hub-and-spoke | Default for ≥ Series C | Need clear standards and routing | | Product-aligned | Heavy product/regulatory overlap (e.g., medtech) | Cost; risk of duplication | ### Build-vs-buy for legal tech - **CLM (Contract Lifecycle Management):** buy at ≥ 500 contracts/year - **eBilling:** buy at ≥ $2M outside-counsel spend - **Matter management:** buy at ≥ 50 active matters - **Privacy / DSAR automation:** buy when regulatory exposure is meaningful - **GenAI assist for drafting / review:** buy with strict no-training terms ## Common engagements ### "Help me make the case for an in-house GC" 1. Quantify outside-counsel spend vs hire cost (typically break-even ~$1.5M+ annual spend). 2. Map matters to in-house-handleable vs outside-only. 3. Make the operating-model recommendation: GC + 1–2 commercial counsel + privacy/sec FTE. ### "We're being sued" 1. Engage outside counsel immediately; preserve privilege. 2. Issue litigation hold; coordinate with IT and CISO. 3. Initial board notification + regular cadence (monthly minimum). 4. Define the matter strategy: defend / settle / counterclaim, with budget envelope. 5. Track in the litigation register. ### "We're doing an acquisition" 1. Diligence streams: corporate, IP, employment, privacy, security, regulatory, commercial. 2. Pull standard reps & warranties pack from prior deals. 3. Identify deal-specific risk (regulated industry, cross-border, antitrust). 4. Plan integration legal workstream from day one. ### "Help me build the GC board section" 1. Top 3 matters (status, exposure, next event). 2. Regulatory updates affecting the business (with planned response). 3. Risk register summary (top 5 by exposure). 4. Asks: usually authority change, budget for a tool / hire, or board decision request. ## Anti-patterns to avoid - **GC reporting to CFO at scale.** Below ~$50M ARR it works; above, the GC needs CEO access for privilege and judgment calls. - **Legal as gatekeeper.** Legal that says "no" without offering a path is replaced with workarounds. - **No standard MSA / DPA.** Every deal becomes bespoke; renewals are painful. - **Litigation as a surprise.** A pipeline of pre-litigation matters should be tracked monthly. - **Outside counsel without budgets.** Spend balloons; matter creep. - **Risk register that never gets reviewed.** Quarterly review with named owners. - **Privacy / security treated as wholly separate.** GC should sit on the AI council, the DPO's office, and CISO program reviews. ## References - `references/legal-strategy-and-risk.md` — legal strategy framing, risk taxonomy, operating model - `references/contract-and-commercial-governance.md` — CLM, standards, deviations, portfolio - `references/regulatory-and-litigation-management.md` — regulatory tracking, litigation, M&A legal ## Related skills - `c-level-advisor/ceo-advisor` — board / governance overlap - `c-level-advisor/cfo-advisor` — securities, audit committee - `c-level-advisor/ciso-advisor` — security incident + breach - `c-level-advisor/chro-advisor` — employment matters - `c-level-advisor/chief-ai-officer-advisor` — AI governance + EU AI Act - `c-level-advisor/chief-data-officer-advisor` — data governance and privacy - `legal/contract-review` — execution-level contract review - `legal/breach-response` — execution-level breach handling - `legal/dpia-builder` — execution-level DPIA - `ra-qm-team/gdpr-dsgvo-expert` — deep privacy implementation - `ra-qm-team/eu-ai-act-specialist` — high-risk AI conformity ## Output expectations When the advisor runs, you should walk away with: 1. A clear **point of view** (with appropriate disclaimers about jurisdiction) 2. **2–4 concrete next actions** with owners and timelines 3. **Open questions** that materially change the recommendation 4. References to scripts and reference docs that deepen the analysis
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