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Duration 35 hours
Course Outline
LangGraph Fundamentals in Legal Contexts
- A comprehensive refresher on LangGraph architecture and stateful execution models.
- Exploration of key legal use cases, including contract analysis, regulatory compliance, and e-discovery.
- Analysis of constraints and specific requirements inherent to regulated legal environments.
Legal Data Standards and Ontologies
- Overview of legal ontologies and metadata structures, such as common taxonomies.
- Techniques for mapping legal documents and clauses into graph state.
- Best practices for data quality, PII handling, and data provenance.
Workflow Design for Legal Processes
- Crafting efficient contract lifecycle and review workflows.
- Managing decision branching, approval gates, and escalation paths.
- Implementing persistence strategies for legal evidence and comprehensive audit trails.
Compliance, Governance, and Risk Controls
- Enforcing policies and meeting record-keeping obligations.
- Securing systems through access control, encryption, and secure logging.
- Managing model risk and implementing rigorous change control procedures.
Human-in-the-Loop and Explainability
- Designing effective review and override points to ensure human oversight.
- Applying explainability patterns to clarify legal decisions.
- Generating audit-friendly explanations and concise summaries for stakeholders.
Integration and Deployment
- Connecting LangGraph to DMS, EDR, and other core legal systems.
- Managing containerization, secrets, and environment hardening for security.
- Implementing CI/CD pipelines for graph deployments and staged rollouts.
Monitoring, Testing, and Safety
- Establishing observability through logs, metrics, traces, and SLOs.
- Utilizing test harnesses, scenario testing, and red teaming for legal prompts.
- Detecting drift, curating datasets, and driving continuous improvement.
Course Summary and Future Steps
Requirements
- A solid grasp of Python and LLM application development principles.
- Practical experience working with APIs, containers, or cloud-based services.
- Foundational knowledge of legal domain concepts and standard document types.
Target Audience
- Domain technologists.
- Solution architects.
- Consultants developing LLM agents within regulated industries.
