1
Trigger
A request, matter event, document, deadline, status change, or user action starts the workflow.
Legal AI & automation
Legal AI that fits the workflow.
Useful legal AI is not a chatbot bolted onto a broken process. It is a deliberately designed system of context, tools, controls, prompts, decisions, integrations, and human review.
The architecture
Five layers of a useful legal AI workflow.
Different tools can implement each layer. The design question is how the layers work together safely and predictably.
2
Context
Relevant matter data, playbooks, policies, precedents, instructions, and user permissions are assembled.
3
Reasoning
A model classifies, summarizes, extracts, compares, drafts, or proposes a next action under defined instructions.
4
Tools
APIs, MCP servers, databases, document systems, workflow platforms, and line-of-business tools extend what the assistant can do.
5
Control
Humans review high-impact outputs, permissions constrain actions, and the workflow records what happened.
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Feedback
Metrics and user feedback reveal where the system is saving time, failing, or creating new work.
Agentic workflows
Use agents where autonomy is earned.
Agentic patterns can be powerful when a task is bounded, observable, reversible, and connected to trusted context. They are less useful when the process is ambiguous or the consequences of a wrong action are high We also help law firms, from BigLaw to smaller practices, apply the same principles at the right scale.
✓
Bounded objective
Clear start, stop, and escalation conditions.
Clear start, stop, and escalation conditions.
✓
Permission-aware tools
Only the systems and actions required for the task.
Only the systems and actions required for the task.
✓
Observable execution
Traceable steps, logs, and reviewable outputs.
Traceable steps, logs, and reviewable outputs.
MCP / tool use
Give the model controlled access to the systems it needs.
Knowledgeretrieve
Matter dataread
Templatesgenerate
Workflowupdate
Notificationssend
Good starting points
Prioritize repeatable knowledge work.
Look for tasks with clear inputs, recognizable patterns, reusable guidance, and a review point that already exists.
Summarize & structure
Turn long or inconsistent source material into standardized briefs, fields, timelines, issue lists, and action summaries.
Compare & flag
Compare language, data, positions, or documents against playbooks and thresholds to surface exceptions.
Retrieve & guide
Find the right precedent, clause, policy, or process guidance at the point of work.
Legal AI foundations
Governance and tool access belong in the architecture.
Two practical guides for moving from experimentation to governed enterprise workflows.
Guide
Legal AI governance for legal teams
Use-case tiers, data rules, vendor controls, human review, monitoring, and agentic workflows.
Read the governance guide ↗BriefingMCP for legal teams
Understand how Model Context Protocol changes enterprise AI tool access and authorization.
Read the MCP briefing ↗Prototype before scaling
Turn one AI idea into a testable workflow.
Define the user, trigger, context, controls, output, and success criteria—then build only what is needed to learn.