Legaltech Course

Lesson 1 • Regulatory and Compliance Fundamentals

Introduces regulatory frameworks, compliance obligations, and enforcement mechanisms. Grounds students in the compliance pressures that drive legaltech adoption.

Lesson 2 • Structure of Legal Systems

Covers common law vs. civil law traditions and court hierarchies. Provides the structural context for understanding how legal processes generate data and documents.

Lesson 3 • Core Legal Concepts for Technologists

Introduces contracts, liability, intellectual property, and procedure. Equips non-lawyers to communicate accurately with legal professionals.

Lesson 4 • Legal Workflows and Document Lifecycles

Maps the end-to-end lifecycle of legal matters from intake to resolution. Reveals automation and efficiency opportunities within each workflow stage.

Lesson 1 • Business Models in Legaltech

Examines SaaS, usage-based, and marketplace pricing models common in legaltech. Prepares students to evaluate vendor sustainability and total cost of ownership.

Lesson 2 • History and Evolution of Legaltech

Traces legaltech from early case management systems to AI-driven platforms. Contextualizes current innovations within decades of incremental change.

Lesson 3 • Legaltech Market Segments

Categorizes legaltech into practice management, document automation, e-discovery, and more. Enables students to navigate vendor landscapes with a structured taxonomy.

Lesson 4 • Key Stakeholders and Buyers

Identifies who purchases, implements, and uses legaltech within organizations. Aligns product and service design with actual decision-making authority.

Lesson 1 • Professional Responsibility and Data Ethics

Addresses attorney confidentiality duties, competence obligations, and ethical data use. Anchors technical data decisions in the professional ethics governing legal practice.

Lesson 2 • Types of Legal Data

Distinguishes structured, unstructured, and metadata categories within legal contexts. Establishes the data taxonomy needed for all subsequent data management topics.

Lesson 3 • Legal Data Storage and Security

Covers encryption, access controls, and secure storage architectures for legal data. Directly supports compliance with professional responsibility and privacy regulations.

Lesson 4 • Data Privacy Principles and Obligations

Introduces core privacy principles such as data minimization, purpose limitation, and consent. Connects these principles to obligations legal organizations must operationalize.

Lesson 1 • E-Signature and Digital Execution

Covers e-signature legal validity, platform selection, and integration with document workflows. Ensures students can deploy legally compliant digital execution processes.

Lesson 2 • Principles of Document Automation

Explains template logic, conditional clauses, and variable-driven drafting. Provides the conceptual foundation for building any automated legal document.

Lesson 3 • Clause Libraries and Playbooks

Introduces standardized clause repositories and negotiation playbooks as governance tools. Enables consistent, risk-aware contracting across large organizations.

Lesson 4 • Contract Analytics and Reporting

Applies data extraction and analytics to contract portfolios for risk and performance insight. Connects contract data to business intelligence and legal operations dashboards.

Lesson 1 • Evaluating and Citing AI Research Outputs

Establishes quality control standards for AI-generated research, including citation verification. Addresses professional responsibility obligations when relying on AI research.

Lesson 2 • Legal Research Databases and Platforms

Surveys primary and secondary source databases and their search architectures. Builds the baseline skill for navigating professional legal research environments.

Lesson 3 • Statutory and Regulatory Research

Covers techniques for tracking legislative history, regulatory changes, and agency guidance. Equips students to monitor evolving legal requirements relevant to clients.

Lesson 4 • AI-Powered Legal Research Tools

Examines how large language models and semantic search enhance legal research speed. Prepares students to use AI research tools responsibly and verify outputs.

Lesson 1 • Litigation Support and Trial Technology

Covers trial presentation software, exhibit management, and courtroom technology logistics. Extends e-discovery skills into the courtroom environment.

Lesson 2 • Technology-Assisted Review

Explains predictive coding, continuous active learning, and TAR validation protocols. Enables students to design and defend AI-driven document review workflows.

Lesson 3 • Data Collection and Processing

Covers forensically sound collection methods, data processing, and culling techniques. Ensures data integrity and defensibility throughout the discovery pipeline.

Lesson 4 • E-Discovery Framework and Obligations

Introduces the electronic discovery reference model and associated legal obligations. Grounds students in the procedural and ethical duties that govern e-discovery.

Lesson 1 • AI Risk, Bias, and Accuracy

Examines hallucination, bias, and accuracy limitations inherent in current AI systems. Equips students to implement safeguards and human oversight mechanisms.

Lesson 2 • Implementing AI in Legal Organizations

Addresses change management, pilot design, and performance measurement for AI adoption. Bridges technical capability with organizational readiness and adoption strategy.

Lesson 3 • AI Governance and Ethics in Law

Covers AI governance frameworks, explainability requirements, and ethical deployment standards. Prepares students to build responsible AI policies for legal organizations.

Lesson 4 • AI Applications Across Legal Practice Areas

Maps AI use cases to specific practice areas including litigation, transactional, and compliance work. Demonstrates the breadth of AI impact across the legal profession.

Lesson 1 • Building a Data-Driven Legal Department

Covers legal analytics, dashboards, and data governance for continuous improvement. Culminates the core curriculum by connecting all prior tools to strategic decision-making.

Lesson 2 • Change Management and User Adoption

Applies change management principles to legaltech implementation and user training. Addresses the human factors that most often determine technology project success.

Lesson 3 • Legal Operations as a Strategic Function

Defines legal ops scope, maturity models, and its relationship to technology investment. Positions technology decisions within a broader operational excellence framework.

Lesson 4 • Measuring Legal Technology ROI

Establishes frameworks for quantifying efficiency gains, cost savings, and risk reduction from legaltech. Enables data-driven justification for continued technology investment.

Lesson 5 • Technology Roadmap Development

Guides students through building a prioritized, phased legaltech roadmap. Connects tool selection to organizational pain points and strategic objectives.