AI Legal Assistants & Agents

MSJC develops AI legal assistants as workflow infrastructure for legal operations, not as novelty chat systems. These assistants are designed for drafting support, arbitration tasks, intake management, and controlled legal interaction where speed and consistency matter but institutional standards must still hold.

Assistant Scope

Our work in this area includes:

• Drafting assistants for legal content, workflows, and structured first-pass preparation
• Arbitration assistants supporting document preparation and matter handling
• Client intake AI for controlled onboarding and routing of legal queries
• Task-specific legal agents built around defined operational roles
• Assistive systems designed to work within legal service delivery environments

Operational Priorities

The assistant model is organised around a small number of priorities:

• Automation of repeatable legal workflow steps without losing control
• Efficiency gains in drafting, intake, and matter support functions
• Assistants built around legal-process logic rather than generic conversation
• Institutional supervision over outputs, routing, and escalation
• Deployable infrastructure that can support real legal operations at scale

Typical Engagements

We are commonly engaged where a mandate requires:

• A legal assistant for drafting-heavy workflows
• An arbitration support assistant tied to document or process management
• An intake layer that routes and qualifies client matters with discipline
• A sector-specific assistant aligned to a legal or ADR operating model
• Replacement of fragmented manual handling with AI-supported legal workflow steps