Autonomous agents and automation that do the legal busywork
Eight specialized AI agents handle research, drafting, review, negotiation, compliance, intake, discovery, and billing, while a trigger, condition, action engine routes work across every module. They run within defined guardrails, escalate when uncertain, and log every action for audit.
AI assistants are not enough. Legal teams need AI that works independently.
The first wave of legal AI gave lawyers chat-based assistants. They are useful for ad hoc queries but fundamentally passive. They wait for questions, answer one thing at a time, and never execute workflows, monitor deadlines, or process queues. JudicialMind agents are autonomous workers that run legal workflows end to end within configurable guardrails, escalate to a human when uncertain, and keep complete audit trails.
Eight agents and a no-code automation engine, end to end
Specialized agent roster
Eight purpose-built agents for research, drafting, review, negotiation, compliance, intake, discovery, and billing. Each is scoped to its own domain and returns review-ready output with confidence scores.
Trigger, condition, action builder
Compose automations from a simple trigger, condition, and action model with no code. When an event fires and your conditions match, the platform routes documents, creates tasks, and updates status automatically.
Multi-agent orchestration
Chain agents into directed workflows for complex operations, such as intake to review to compliance to negotiation to drafting. Run steps in sequence or parallel, on schedule or on event, with retry logic built in.
Automation recipe templates
Install pre-built templates for common legal workflows like matter intake, contract approval by value, and compliance reminder chains. Configure the parameters and activate, or build your own from scratch.
Approval and routing chains
Configure sequential or parallel approval chains with approvers by role or name, escalation timeouts, and delegation rules. Conditional routing sends high-value contracts and sign-offs to the right people.
Cross-module orchestration
A single trigger can act across matters, documents, billing, compliance, and communication. Sign a contract and the platform extracts obligations, updates the compliance calendar, and creates billing milestones.
Live run monitoring
Watch agents work in real time with step-by-step pipeline progress, processing logs, and duration tracking. Pause, resume, or cancel any run, with a kill switch always available.
Guardrails and escalation
Confidence thresholds, action approval gates, scope limits, rate limiting, and output validation keep agents supervised. Anything below the bar escalates to a human before it commits.
Audit trails and analytics
Every action is logged with full context to satisfy compliance and ethical requirements. Track success rates, latency, time saved, and cost per run to tune or retire underperforming automations.
From trigger to audited result
Define the trigger
Compose an automation from a trigger, condition, and action. Triggers fire on events like a document uploaded, a status changed, a deadline approaching, a contract executed, or an agent completing a workflow.
Chain the agents
Build a multi-agent workflow as a directed acyclic graph, for example intake to review to compliance to negotiation to drafting. Run steps in sequence or parallel, on schedule, on event, or manually, with retry logic built in.
Run within guardrails
Agents execute autonomously while confidence thresholds, action approval gates, scope limits, rate limiting, and output validation keep them supervised. Anything below the bar escalates to a human before it commits.
Monitor and audit
Watch live pipeline progress, processing logs, and duration and cost per run, with pause, resume, cancel, and a kill switch always available. Every action is logged for compliance and ethical requirements.
Connected across the platform
- All modules: agents and automations trigger and act across every module
- AI agents: automations can trigger agent workflows directly
- Audit: every agent action is logged for compliance
- Analytics: agent and automation performance feeds firm-wide analytics
- Team management: agents act as team members with assigned workloads
- External systems: webhook triggers and actions for third-party integration
