Role-Based Programme
RB1647

AI-Powered Litigation & Case Management

Intelligent Case Analysis, Evidence Management & Legal Workflow Automation

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Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced capability to apply AI across litigation intake, case assessment, document review, chronology building, evidence organisation, research, drafting support, and case monitoring.
  • Use AI to analyse pleadings, correspondence, contracts, witness materials, legal research, case records, evidence, orders, and supporting documentation.
  • Build repeatable AI-assisted workflows for case intake, issue identification, document classification, evidence review, deadline tracking, matter updates, and reporting.
  • Apply AI to improve case preparation, fact organisation, document comparison, legal research efficiency, matter visibility, and coordination.
  • Design responsible AI-enabled litigation workflows with appropriate controls for legal privilege, confidentiality, evidence integrity, source verification, accuracy, auditability, and human legal oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AIOCR & Data ExtractionLegal Research ToolsEvidence & Chronology AnalysisCase Management AIDocument Comparison ToolsReporting & Dashboard ToolsWorkflow Automation

Who should attend

  • Litigation Lawyers
  • Legal Counsel
  • Litigation Managers
  • In-House Legal Professionals
  • Dispute Resolution Professionals
  • Legal Case Managers
  • Legal Analysts
  • Paralegal Professionals
  • Litigation Support Professionals
  • Legal Operations Professionals
  • Case Documentation Professionals
  • Claims & Disputes Professionals
  • Legal Research Professionals
  • Corporate Legal Executives
  • Litigation & Case Management Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of litigation, dispute resolution, legal case management, or legal documentation
  • Familiarity with pleadings, case files, correspondence, evidence, legal research, orders, or court-related documentation
  • Basic proficiency with documents, spreadsheets, online research, and workplace productivity applications
  • No previous AI course attendance required
  • No programming background required

TOC Modules

Concepts
  • Understanding Generative AI, Document AI, legal research AI, and workflow automation
  • Mapping AI opportunities across litigation and dispute-management lifecycles
  • Understanding AI assistance versus qualified legal strategy and professional judgement
  • Recognising confidentiality, privilege, hallucination, evidence-integrity, and jurisdictional risks
Practical activities
  • Mapping a litigation lifecycle and identifying appropriate AI use cases
  • Comparing manual and AI-assisted case-management activities
  • Creating a Litigation & Case Management AI opportunity matrix

Scenarios

Case Intake to Litigation Strategy Brief

Case Intake → Pleadings Review → Issue Identification → Chronology → Evidence Mapping → Legal Research → Risk Analysis → Litigation Brief

Participants use AI-assisted methods to structure a simulated dispute, analyse pleadings and evidence, build a chronology, identify legal issues, and prepare a structured litigation brief for authorised counsel review.

Litigation Portfolio to Intelligent Case Management Workflow

Case Files + Court Orders + Deadlines + Evidence + Legal Research + Action Items → AI Classification → Deadline Tracking → Evidence Linking → Automated Follow-Up → Dashboard → Legal Management Reporting

Participants design an AI-enabled case-management workflow that improves matter visibility, document organisation, deadline control, action tracking, and reporting while maintaining privilege, evidence integrity, and human legal oversight.

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