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LegalTech · AI Multi-Agent

AI Legal Multi-Agents

VAIOT needed a compliant legal AI architecture that could scale beyond a single model and pass high-risk governance expectations.

Client: VAIOTIndustry: LegalTechService: Agentic AI Product DevelopmentTimeline: 12 weeks

Primary result

70%

Faster case processing (48h -> 14h)

70%
Faster case processing
-38%
Lower LLM token cost
500+
Users in first-week live demo
12 wks
Concept to production-ready

Overview

VAIOT is a European LegalTech company operating in a regulated environment. Their original single-model setup created throughput bottlenecks and weak traceability for legal outputs.

The challenge

A single legal assistant had to draft, review, and explain complex legal outputs across multiple domains. That caused long turnaround times, weak transparency, and unacceptable compliance risk before public launch.

AI legal multi-agent architecture visual

Our approach

Awakast designed a multi-agent architecture with a supervisor agent, legal-domain specialists, confidence scoring, and escalation rules. We paired it with legal RAG and full event logging to produce a regulator-ready trail.

What we delivered

  • Supervisor-driven multi-agent orchestration
  • Custom legal RAG with source citations
  • Confidence-based human-in-the-loop escalation
  • Conformity-supporting audit logs and documentation

Architecture and implementation

  • Domain agents for legal specialties routed by confidence and task type
  • Private endpoints and Kubernetes deployment with no public data egress
  • Traceability by design: source link, confidence score, escalation event

Delivery timeline

Week 1-2

Discovery and risk mapping

Mapped legal workflows, constraints, and compliance checkpoints.

Week 3-6

Agent architecture

Built supervisor routing, legal agents, and RAG grounding.

Week 7-10

Validation and controls

Implemented scoring thresholds, escalation, and quality tests.

Week 11-12

Go-live readiness

Hardened deployment and delivered governance artifacts.

Specialized legal agents view
Specialized legal agents coordinated by a supervisor workflow.
Delivery timeline
12-week path from architecture design to production-readiness.

Processing time per legal case

Average turnaround48h14h
BeforeAfter

Technology

PythonAutoGenAzure OpenAIAzure KubernetesFastAPIPostgreSQLRAG

Compliance and controls

  • Human oversight for low-confidence outputs
  • Complete decision traceability for each generated output
  • Deployment aligned with private data processing constraints

Proof links

Key outcomes

  • Specialized legal reasoning split across coordinated agents
  • Faster turnaround without sacrificing control and traceability
  • Governance model suitable for high-stakes legal workflows
""We're delighted to cooperate with them." Awakast delivered assigned tasks perfectly, stayed within budget, met deadlines, and maintained strong communication through weekly and daily meetings."

Paweł Stopczyńsk, CEO & R&D Director - VAIOT (Clutch review, Feb 17, 2025)

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