AIカスタマーサービスエージェント — チャット・メール・音声を横断してチケットを解決し、測定可能な自動解決率を実現します。
Decagon vs Legorawhich AI support agent should you pick in 2026?
Conversational support agents that resolve tickets like your best reps.
Decagon vs Legora — specs
| Spec | Decagon | Legora |
|---|---|---|
| Agent Rank | 73 / 100 (A) | 58 / 100 (B) |
| Autonomy | Autonomous | Semi-autonomous |
| Pricing | Subscription · 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 | — |
| Released | Apr 2025 | Aug 2025 |
Agent Rank breakdown
- 自律性
- 9
- 機能
- 6
- 連携
- 4
- 料金
- 9
- 完成度
- 6
- 検証性
- 10
自律性、機能、連携、料金、成熟度、編集部の検証を基に自動算出。デプロイごとに更新されます。 どのように算出されているか?
- 自律性
- 8
- 機能
- 8
- 連携
- 2
- 料金
- 4
- 完成度
- 7
- 検証性
- 6
自律性、機能、連携、料金、成熟度、編集部の検証を基に自動算出。デプロイごとに更新されます。 どのように算出されているか?
Pros & cons
- +Chat-first agent with consistently 65–75% tier-1 deflection in production
- +Deep integration with existing helpdesks (Zendesk / Intercom / Salesforce)
- +Mid-market priced — easier conversation than Sierra
- −Voice support exists but is not the strength
- −Sales-led — no self-serve sign-up
- −Per-resolution pricing can sting if tickets spike unexpectedly
- +$5.55B valuation Series D Apr 2026 — 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
- −Newer than Harvey in US market — fewer NYC AmLaw 100 case studies
- −Enterprise pricing only — no associate-level self-serve
- −Best suited for transactional law (M&A, finance) — 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.
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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 · Free tier; Legora starts at Subscription. Decagon is the cheaper entry option. For team deployments the TCO can differ — 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 — see our autonomous-vs-copilot framing for when each tier wins.
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Multilingual customer-support AI agents with local deployment teams in 30 countries.
ツール利用メモリ音声RAGIntercom に内蔵された解決件数ベースのAIエージェント。実際に対応を削減した件数分だけ課金されます。
RAGツール利用メモリDemo · hover to play