FlowCounsel Courses · Free, always
Learn legal AI properly.
A free course library for attorneys and legal teams using Claude and AI tools with privilege, provenance, review control, and workflow discipline.
Independent educational material. FlowCounsel is not affiliated with or endorsed by Anthropic.
Foundations
Claude Cowork & Skills for Legal Practice
A text-first course on Claude for legal work, firm Skills, MCP connectors, privilege posture, and the operating discipline that keeps AI output out of the firm record until it earns its way in.
- What Claude For Legal appears to contain from public source review: practice plugins, agent patterns, and MCP connectors
- Privilege, retention, and the model boundaries every firm should know
- Skills primitive: building portable firm IP your team can run identically
- Operating discipline: bounded context, source checks, review boundaries, and firm-owned work
Safety and ethics
ComingAI Safety + Privilege Deep Dive for Legal Practice
Privilege risk in depth, vendor contract review, AI policy templates by firm size, the running case index of AI-sanctioned attorneys, and the audit practices a firm should run.
- The privilege risk spectrum end-to-end: waiver theory, vendor terms, model behavior
- State-by-state bar guidance, Heppner-class analysis, ABA Formal Opinion 512 walkthrough
- AI policy templates by firm size and vendor contract review patterns
- Standards bridge: confidentiality, vendor review, audit posture, and review-state discipline
Research and verification
ComingAI Legal Research & Answer Engines
Planned course on verification workflow, source classes, citation discipline, inconclusive states, and the difference between answer surfaces and legal research infrastructure.
- How answer engines differ from legal databases, citators, and firm research workflows
- Verification workflow: source class, passage support, treatment, jurisdiction, and missing facts
- Tool map: Claude, Perplexity, ChatGPT, Gemini, CoCounsel, Lexis, Westlaw, OpenLaws, and FlowLawyers Research
- Standards bridge: provenance, verification, source class, review state, and inconclusive state
Integrations
ComingMCP + Legal Tooling for Firms
Planned course on turning AI tools into governed legal infrastructure: connector scope, tool permissions, audit logs, refusal states, and human approval before external effect.
- MCP and connector patterns without turning every integration into a security boundary mistake
- Tool contracts: what an AI system may read, write, recommend, or never do
- Observability and audit: request IDs, traces, tool calls, refusal states, and approval events
- Standards bridge: execution boundaries, approvals, observability, and review gates
Access to justice
ComingPro Bono / Legal Aid AI Intake & Workflow
Planned course on public legal-help intake that treats eligibility, consent, data minimization, routing, language access, reporting, and human review as first-class infrastructure.
- Legal-aid-first posture: likely eligibility, safe language, and no final qualification claims
- Pro bono routing: availability, category fit, conflict posture, capacity, and referral follow-through
- Public intake quality: consent, safe-contact constraints, language access, source attribution, and reporting
- Standards bridge: Consumer Legal AI Intake Standard and legal-aid-first routing discipline
Practice plugins
ComingPractice Plugins: Litigation, IP, Commercial, Corporate
Planned deep dive on Claude legal plugin patterns for litigation, intellectual property, commercial, and corporate workflows.
- Litigation workflows: demand drafting, claim charts, deposition prep, docket watching
- IP workflows: clearance, FTO triage, takedown review, portfolio tracking
- Commercial workflows: contract review, renewal watching, playbook monitoring
- Corporate workflows: diligence grids, closing checklists, board materials
Practice plugins
ComingPractice Plugins: Employment, Privacy, Product, Regulatory, AI Governance
Planned deep dive on Claude legal plugin patterns for employment, privacy, product, regulatory, and AI governance workflows.
- Employment Legal: wage-hour, hiring and termination, classification, investigations, leave tracking
- Privacy Legal: PIA, DPA review, DSAR within statutory timelines, regulation gap analysis
- Product Legal: launch review, marketing claims, feature risk assessment
- Regulatory and AI Governance: feed watching, policy diff, EU AI Act inventory, vendor AI review
Clinics, students, builders
ComingEducation + Community Plugins
Planned course on legal-aid, clinic, law-student, and lawyer-builder workflows around AI education and implementation.
- Clinic workflows: supervised intake, deadline awareness, semester handoff
- Law-student workflows: case briefing, issue spotting, writing review, bar-prep support
- Builder workflows: reusable skills, trust checks, and community review patterns
Production deployment
ComingManaged Agents + Production Deployment
Planned course on scheduled-agent patterns, deployment posture, monitoring, and governance for production legal AI workflows.
- Scheduled workflow patterns: renewal watching, docket watching, regulatory monitoring
- Tool contracts, refusal states, and human approval before external effect
- Deployment, monitoring, and audit posture for production legal AI
- Bedrock and Anthropic-hosted deployment trade-offs
Ready to bring this into your firm?
When your firm is ready to establish AI governance in real workflow, with tool placement, review boundaries, and operating rules, Stewardship applies this work directly to your stack.