Multi-agent orchestration platform from Japan β TRINITY model + finance underwriting agents.
Tool useMemoryRAGMulti-agent
Demo Β· hover to playLegora vs n8n Agentswhich AI research agent should you pick in 2026?
Collaborative legal AI agents for due diligence, contract review, and drafting.
Tool useMemoryRAGMulti-agent
Open-source workflow automation with first-class AI agent nodes β self-host or use cloud.
Tool useMemoryMulti-agent
Legora vs n8n Agents β specs
| Spec | Legora | n8n Agents |
|---|---|---|
| Agent Rank | 58 / 100 (B) | 87 / 100 (S) |
| Autonomy | Semi-autonomous | Semi-autonomous |
| Pricing | Subscription | Free Β· OSS |
| Open source | No | Yes |
| Capabilities | Tool use, Memory, RAG, Multi-agent | Tool use, Memory, Multi-agent |
| Integrations | 4 apps | 6 apps |
| Verified | β | Verified |
| Released | Aug 2025 | Feb 2025 |
Agent Rank breakdown
Legora
Agent Rank
58/ 100
- Autonomy
- 8
- Capabilities
- 8
- Integrations
- 2
- Pricing
- 4
- Polish
- 7
- Verifiability
- 6
Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?
n8n Agents
Agent Rank
87/ 100
- Autonomy
- 8
- Capabilities
- 6
- Integrations
- 10
- Pricing
- 10
- Polish
- 8
- Verifiability
- 10
Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?
Pros & cons
Legora
Pros
- +$5.55B valuation Series D Apr 2026 β largest legal-AI Series D in history
- +Multi-agent collaboration (different agents for different transaction types)
- +Strong UK/EU foothold with Magic Circle firm adoption
Cons
- βNewer than Harvey in US market β fewer NYC AmLaw 100 case studies
- βEnterprise pricing only β no associate-level self-serve
- βBest suited for transactional law (M&A, finance) β less for litigation
n8n Agents
Pros
- +Strongest OSS workflow automation in 2026 β production-ready at any scale
- +Self-host keeps proprietary data on your infra
- +Multi-agent + AI agent nodes are first-class, not bolted on
Cons
- βSteeper learning curve than Zapier
- βCloud pricing is competitive but self-host operational overhead is real
- βCommunity support primary; commercial SLA is paid tier
Pricing
Legora
Standard
Custom
Boutique firms
- +Contract review agent
- +Due diligence
- +Word + SharePoint
Recommended
Enterprise
Custom
Mid + large firms
- +Multi-agent workflows
- +iManage/NetDocs sync
- +Advanced security
Sovereign
Custom
Magic Circle
- +EU/US/UK data residency
- +BYO LLM option
- +Dedicated tenants
n8n Agents
Open source
Free
Self-host
- +Apache-2.0 fair-use license
- +Unlimited workflows
- +Full agent node support
Recommended
Cloud Starter
$20/mo
Small teams
- +Hosted runtime
- +Active workflows
- +BYO LLM key supported
Cloud Pro
$50/mo
Heavier use
- +10K executions/mo
- +Multi-user
- +Workflow versioning
Which one should you pick?
Legora
Pick Legora if its specific capabilities (Tool use, Memory) match what you need.
Try Legora βn8n Agents
Pick n8n Agents if cost is the main constraint or if auditability or self-hosting matters.
Try n8n Agents βAffiliate links. We may earn a commission at no extra cost to you.
Frequently asked
Should I pick Legora or n8n Agents in 2026?+
Pick Legora if its specific capabilities (Tool use, Memory) match what you need. Pick n8n Agents if cost is the main constraint or if auditability or self-hosting matters. Most working teams running both can use Legora for primary work and n8n Agents for the workflows where its specific strengths matter.
What's the price difference between Legora and n8n Agents?+
Legora starts at Subscription; n8n Agents starts at Free Β· OSS. n8n Agents is the cheaper entry option. For team deployments the TCO can differ β use the AI Agent Rank TCO calculator for your specific volume.
Which is more autonomous, Legora or n8n Agents?+
Both Legora and n8n Agents are Semi-autonomous agents β neither has a meaningful autonomy advantage over the other. The decision should hinge on capabilities and pricing instead.
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BrowserTool useVoiceMemoryLong-running researcher inside Gemini that plans, browses and writes briefs.
BrowserRAGMemoryVision
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