🚀 Screen 1: Command Center (Dashboard)
The primary landing screen for the Supervisor. In this scenario, a supplemental production request arrived at 9:14 PM Friday — after hours, with the production specialist on PTO. Agents activated immediately in Silent Mode, processing the request overnight. By 2:49 AM, the work was staged and 23 privilege-adjacent documents were queued for morning attorney review. The audit trail below shows the complete overnight timeline.
- After-hours execution — Agents process requests 24/7, even when your team is unavailable
- Execution mode controls — Toggle between Silent (dry run), Confirm (approve each action), and Live modes
- Verbosity levels — Configure detail from summary reports to line-by-line API call transparency
- Agent fleet summary — Production Agent status plus always-on Supervisor and Data Protection components
- Silent Mode replay — Full action plan showing every API call, expected result, and data protection scan
- Cost tracker — Budget burn rate across matters
⚙ Agent Fleet Status
View All →⚠ Recent Escalations
View All (4) →📊 Budget vs. Actuals — Acme v. Beta Corp
$47,200 / $85,000 budget (55.5%)◼ Silent Mode — Action Replay
DRY RUN — Nothing executed📌 Screen 2: Matter Workspace
Deep-dive into a single matter. Shows the Production Agent's pipeline as a horizontal stage visualization, matter metadata, and active workflow progress. This is where a project manager monitors production end-to-end.
- Production Pipeline — Horizontal visualization of the 6-stage production workflow with completion status and document counts
- Matter metadata — Custodians, date range, data sources, budget
- Active workflow — Current tasks running in this matter
- Confidence scores — Per-stage confidence for Production, Supervisor, and Data Protection
🛠 Production Pipeline Progress
Live🎯 Confidence Scores by Component
| Component | Agent | Confidence | Docs Processed | Exceptions | Status |
|---|---|---|---|---|---|
| Production | production_agent_v2 | 0.94 | 10,203 | 8 | Running |
| Supervisor | supervisor_v2 | 0.99 | N/A | 0 | Active |
| Data Protection | data_protection_v2 | 0.99 | 12,847 | 0 | Active |
⚙ Screen 3: Agent Fleet Monitor
Real-time operational view of the Production Agent along with Supervisor and Data Protection framework components. Each component operates inside your existing sanctioned systems (Relativity, Nuix, DISCO, etc.) — executing decisions your team has already operationalized. Components are deployed with named identities and matter-level access controls — tracked like people. Shows health, current task, throughput, error rates, confidence averages, and resource utilization.
- Health indicators — Green/amber/red status with heartbeat monitoring
- Throughput metrics — Documents/hour, GB/hour per agent
- Confidence tracking — Rolling average confidence per agent
- Resource usage — Token consumption, compute allocation
- Scheduled tasks — Automated privilege sweeps, STR runs, QC checks, and production readiness scans running on defined schedules
Agent Fleet Detail
| Agent | Status | Current Task | Throughput | Confidence | Errors (24h) | Tokens Used | Uptime |
|---|---|---|---|---|---|---|---|
| Production | Active | prod03_imaging_pipeline | 4.2k docs/hr | 0.94 | 8 | 187K | 99.8% |
| Supervisor | Active | workflow_orchestration | — | 0.99 | 0 | 45K | 99.9% |
| Data Protection | Active | outbound_api_screening | 12.1k calls/hr | 0.99 | 0 | 78K | 99.9% |
▶ Screen 4: Task Queue (Workflow DAG)
Visualizes the Supervisor's task decomposition for the Production Agent as a directed acyclic graph. Shows how a production request was broken into sub-tasks, with dependency chains for imaging, QC, load file generation, and delivery. The Supervisor manages task ordering, parallel execution, and re-routing on failure.
- DAG visualization — Production tasks as nodes with dependency arrows
- Status per node — Completed, running, queued, or blocked
- Parallel branches — Tasks that can run concurrently shown side-by-side
- Controls — Pause, resume, rollback individual tasks or the entire workflow
Workflow: Acme v. Beta Corp — PROD03 Production Pipeline
⚠ Screen 5: Escalation Queue
The human-in-the-loop interface. When any agent's confidence drops below 0.7, detects privilege-adjacent content, hits exception thresholds, or encounters ambiguous instructions, the item lands here. The Supervisor presents context, the agent's reasoning, and action buttons for the human reviewer.
- Priority sorting — Critical (privilege), High (threshold), Medium (scope questions)
- Context panel — Source agent, confidence score, affected documents, reasoning chain
- Actions — Approve, Override, Send Back for re-analysis, Reassign to different agent
- Escalation rules — Configurable per matter based on risk tolerance
✓ Screen 6: Quality Gates Dashboard
Tracks the 5 sequential quality gates that every workflow must pass. Each gate has specific criteria, metrics thresholds, and required actions. The Supervisor enforces these automatically and presents results for review. No agent output reaches the legal team without passing all applicable gates.
- G1: Scope Validation — Confirms custodians, date ranges, data sources before processing starts
- G2: Processing QC — Exception rates, dedup ratios, metadata integrity after ingestion
- G3: Execution Validation — Output verification against specifications, cross-referencing source data, statistical sampling of results
- G4: Production Validation — Bates continuity, format compliance, privilege sweep before delivery
- G5: Defensibility Package — Complete methodology documentation at matter close
✓ G1: Scope Validation — PASSED
Feb 12, 2026 09:14 AM| Criterion | Status | Value |
|---|---|---|
| Custodians confirmed | Pass | 12 / 12 |
| Date range validated | Pass | 2023-01-01 to 2025-12-31 |
| Data sources enumerated | Pass | M365, Slack, Google Workspace |
| Keywords approved | Pass | 47 terms, 3 phrases |
| Budget approved | Pass | $85,000 |
✓ G2: Processing QC — PASSED
Feb 14, 2026 03:41 PM| Criterion | Status | Value |
|---|---|---|
| Exception rate < 5% | Watch | 4.8% (127 files) |
| Dedup ratio | Pass | 34.2% reduction |
| Metadata integrity | Pass | 99.97% |
| File type distribution | Pass | Reviewed — normal |
| Processing job completion rate | Pass | 98.1% |
▶ G3: Execution Validation — IN PROGRESS
Running| Criterion | Status | Value | Threshold |
|---|---|---|---|
| Documents processed for validation sample | Pass | 842 of 500 min | ≥ 500 |
| Output vs. specification match rate | Testing | 0.78 | ≥ 0.80 |
| Metadata extraction accuracy | Pass | 0.91 | ≥ 0.85 |
| Bates continuity verification | Testing | 0.83 | ≥ 0.95 |
| Load file integrity (DAT/OPT match) | Pass | 0.99 | ≥ 0.95 |
| Privilege sweep coverage | Testing | 97% | 100% |
☰ Screen 7: Audit Trail
Complete, immutable log of every agent action. Required for defensibility — if opposing counsel challenges the methodology, this is the evidence. Every entry includes timestamp, agent ID, action type, input/output hashes, and confidence score. Exportable to client SIEM or as a standalone defensibility document.
- Filterable — By agent, action type, confidence level, time range
- Immutable — Write-once log with cryptographic integrity (hash chain)
- Exportable — JSON, CSV, or integrated with client SIEM systems
- Searchable — Full-text search across all log entries