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Cursusaanbod
LangGraph Fundamentals for Legal
- Refresher on LangGraph architecture and stateful execution
- Key legal use cases: contract analysis, regulatory compliance, e-discovery
- Constraints and requirements for regulated legal environments
Legal Data Standards and Ontologies
- Introduction to legal ontologies and metadata (e.g., common taxonomies)
- Mapping legal documents and clauses into graph state
- Data quality, PII handling, and provenance
Workflow Design for Legal Processes
- Designing contract lifecycle and review workflows
- Decision branching, approvals, and escalation paths
- Persistence strategies for legal evidence and audit trails
Compliance, Governance, and Risk Controls
- Policy enforcement and record-keeping requirements
- Access control, encryption, and secure logging
- Model risk management and change control
Human-in-the-Loop and Explainability
- Designing effective review and override points
- Explainability patterns for legal decisions
- Generating audit-friendly explanations and summaries
Integration and Deployment
- Connecting LangGraph to DMS, EDR, and core legal systems
- Containerization, secrets management, and environment hardening
- CI/CD for graph deployments and staged rollouts
Monitoring, Testing, and Safety
- Observability: logs, metrics, traces, and SLOs
- Test harnesses, scenario testing, and red teaming for legal prompts
- Drift detection, dataset curation, and continuous improvement
Summary and Next Steps
Vereisten
- An understanding of Python and LLM application development
- Experience with APIs, containers, or cloud services
- Basic familiarity with legal domain concepts and document types
Audience
- Domain technologists
- Solution architects
- Consultants building LLM agents in regulated industries
35 Uren
