AI customer service agent β resolves tickets across chat, email, voice with measurable deflection rates.
Decagon vs Legorawhich AI support agent should you pick in 2026?
Conversational support agents that resolve tickets like your best reps.
Collaborative legal AI agents for due diligence, contract review, and drafting.
Decagon vs Legora β specs
| Spec | Decagon | Legora |
|---|---|---|
| Agent Rank | 73 / 100 (A) | 58 / 100 (B) |
| Autonomy | Autonomous | Semi-autonomous |
| Pricing | Subscription Β· Free tier | Subscription |
| Open source | No | No |
| Capabilities | Tool use, Memory, RAG | Tool use, Memory, RAG, Multi-agent |
| Integrations | 3 apps | 4 apps |
| Verified | Verified | β |
| Released | Apr 2025 | Aug 2025 |
Agent Rank breakdown
- Autonomy
- 9
- Capabilities
- 6
- Integrations
- 4
- Pricing
- 9
- Polish
- 6
- Verifiability
- 10
Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?
- 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?
Pros & cons
- +Chat-first agent with consistently 65β75% tier-1 deflection in production
- +Deep integration with existing helpdesks (Zendesk / Intercom / Salesforce)
- +Mid-market priced β easier conversation than Sierra
- βVoice support exists but is not the strength
- βSales-led β no self-serve sign-up
- βPer-resolution pricing can sting if tickets spike unexpectedly
- +$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
- 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
Pricing
- +Per-resolution pricing
- +Zendesk / Intercom integration
- +Onboarding included
- +Custom integrations
- +SSO + audit log
- +Dedicated CSM
- +Contract review agent
- +Due diligence
- +Word + SharePoint
- +Multi-agent workflows
- +iManage/NetDocs sync
- +Advanced security
- +EU/US/UK data residency
- +BYO LLM option
- +Dedicated tenants
Which one should you pick?
Pick Decagon if cost is the main constraint or if you want the highest autonomy and the verification loop is in place.
Try Decagon βPick Legora if its specific capabilities (Tool use, Memory) match what you need.
Try Legora βAffiliate links. We may earn a commission at no extra cost to you.
Frequently asked
Should I pick Decagon or Legora in 2026?+
Pick Decagon if cost is the main constraint or if you want the highest autonomy and the verification loop is in place. Pick Legora if its specific capabilities (Tool use, Memory) match what you need. Most working teams running both can use Decagon for primary work and Legora for the workflows where its specific strengths matter.
What's the price difference between Decagon and Legora?+
Decagon starts at Subscription Β· Free tier; Legora starts at Subscription. Decagon 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, Decagon or Legora?+
Decagon is the more autonomous of the two (Autonomous vs Semi-autonomous). Higher autonomy ships throughput faster but requires verification loops in place β see our autonomous-vs-copilot framing for when each tier wins.
Readers comparing Decagon and Legora also picked
Adjacent agents in the same category with overlapping capabilities β worth a side-by-side glance before you commit.
- RAGTool useMemoryVoiceDemo Β· hover to play
Multilingual customer-support AI agents with local deployment teams in 30 countries.
Tool useMemoryVoiceRAGResolution-based AI agent built into Intercom β pays for what it actually deflects.
RAGTool useMemoryDemo Β· hover to play