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Hamza Khan

Case study · Connected workflow and case-operations system

Agentic Legal Case Lifecycle System

An anonymized system architecture coordinating intake, matter progression, documents, communication, approvals, and resolution workflows.

Hamza Khan — Senior Full-Stack & AI EngineerBy Hamza Khan1 min read
Illustration: an inquiry arrives by phone, email or a booked call, then moves through intake, documents, in progress and resolved. AI suggests the next step and a person approves it before work continues.
Anonymized legal workflow engineering.
System
Connected workflow and case-operations system
On this page

The problem

This system experience focused on the operational journey from a new inquiry through intake, matter progression, and resolution. The work treated the matter as a connected lifecycle rather than a collection of isolated AI features. Legal operations can lose continuity when information, documents, tasks, and communications move through disconnected systems and individual memory.

  • Information moves through disconnected tools.
  • Staff manually coordinate documents, tasks, and communication.
  • Case progression can depend on individual memory.
  • AI recommendations need appropriate human authority.
  • Every important action needs traceability.

Who controls what

  1. Step 1

    Access

    retrieve matter information permitted for the user and workflow.

  2. Step 2

    Recommend

    prepare summaries, next actions, or drafts for review.

  3. Step 3

    Execute

    perform an explicitly approved action within defined limits.

  4. Step 4

    Authority varies by role, workflow stage, action type, and risk.

Open the control diagram

How it is built

Connected workflow and case-operations system, shown as 5 ordered layers: Client and staff interfaces, Workflow orchestration, Specialized AI agents, Matter and document data, External integrations.

  1. Client and staff interfaces

    then
  2. Workflow orchestration

    then
  3. Specialized AI agents

    then
  4. Matter and document data

    then
  5. External integrations

Connected workflow and case-operations system, shown as 5 ordered layers: Client and staff interfaces, Workflow orchestration, Specialized AI agents, Matter and document data, External integrations.

What the team sees

Illustrative legal case workspace showing a matter timeline, tasks and an approval queue with fictional data.

Illustration, fictional data

Reconstructed interface with fictional data. It illustrates the delivered workflow; it is not a client screenshot.

My role and scope

What I owned

  • Full-stack architecture
  • Workflow design
  • AI-agent integration
  • Document processing
  • Permissions
  • Auditability
  • Integration design
  • Deployment and operational support

What was built

  • New-caller and intake workflows
  • Intake verification and matter creation
  • Document collection and analysis
  • Case-stage tracking
  • Task and calendar coordination
  • Communication workflows
  • Recommended next actions
  • Human approvals
  • Settlement or resolution workflows
  • Mobile or client-facing access where appropriate
  • End-to-end legal workflow understanding
  • Agent orchestration
  • Human-in-the-loop design
  • Production application engineering
  • Integration of AI into operational software

Outcome

The result was a unified system architecture designed to coordinate legal operations while keeping consequential decisions and actions under explicit human control.

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