Markenkonforme kundengerichtete Agenten — von den Gründern von Salesforce und Google.
SpracheTool-NutzungMemoryRAG
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Ada vs Legorawhich AI support agent should you pick in 2026?
AI customer service agent — resolves tickets across chat, email, voice with measurable deflection rates.
RAGTool useMemoryVoice
Ada vs Legora — specs
| Spec | Ada | Legora |
|---|---|---|
| Agent Rank | 80 / 100 (A) | 58 / 100 (B) |
| Autonomy | Autonomous | Semi-autonomous |
| Pricing | Subscription · Free tier | Subscription |
| Open source | No | No |
| Capabilities | RAG, Tool use, Memory, Voice | Tool use, Memory, RAG, Multi-agent |
| Integrations | 4 apps | 4 apps |
| Verified | Verified | — |
| Released | Feb 2025 | Aug 2025 |
Agent Rank breakdown
Ada
Agent Rank
80/ 100
- Autonomie
- 9
- Fähigkeiten
- 8
- Integrationen
- 6
- Preise
- 9
- Reife
- 6
- Verifizierbarkeit
- 10
Automatisch berechnet aus Autonomie, Fähigkeiten, Integrationen, Preisen, Reife und redaktioneller Verifizierung. Bei jedem Deploy aktualisiert. Wie wird das berechnet?
Legora
Agent Rank
58/ 100
- Autonomie
- 8
- Fähigkeiten
- 8
- Integrationen
- 2
- Preise
- 4
- Reife
- 7
- Verifizierbarkeit
- 6
Automatisch berechnet aus Autonomie, Fähigkeiten, Integrationen, Preisen, Reife und redaktioneller Verifizierung. Bei jedem Deploy aktualisiert. Wie wird das berechnet?
Pros & cons
Ada
Pros
- +One of the longest-running CS AI products — battle-tested at scale
- +Now Generative — rewritten on LLMs rather than older NLU patterns
- +Clean Zendesk + Salesforce integration story
Cons
- −Older brand can feel less buzzy vs Sierra/Decagon — though the product is competitive
- −Voice still nascent vs Parloa
- −Enterprise-only sales motion
Legora
Pros
- +$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
Cons
- −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
Ada
Empfohlen
Generative
Individuell
Mid-market support
- +AI agent for chat + email
- +Knowledge automation
- +Reasoning engine
Enterprise
Individuell
Large enterprises
- +Voice channel
- +Custom workflows
- +Dedicated CS
Legora
Standard
Individuell
Boutique firms
- +Contract review agent
- +Due diligence
- +Word + SharePoint
Empfohlen
Enterprise
Individuell
Mid + large firms
- +Multi-agent workflows
- +iManage/NetDocs sync
- +Advanced security
Sovereign
Individuell
Magic Circle
- +EU/US/UK data residency
- +BYO LLM option
- +Dedicated tenants
Which one should you pick?
Ada
Pick Ada 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 Ada or Legora in 2026?+
Pick Ada 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 Ada for primary work and Legora for the workflows where its specific strengths matter.
What's the price difference between Ada and Legora?+
Ada starts at Subscription · Free tier; Legora starts at Subscription. Ada 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, Ada or Legora?+
Ada 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.
Readers comparing Ada and Legora also picked
Adjacent agents in the same category with overlapping capabilities — worth a side-by-side glance before you commit.
Multilingual customer-support AI agents with local deployment teams in 30 countries.
Tool-NutzungMemorySpracheRAGForrester Wave Leader 2026 — enterprise voice and chat agent platform (now NiCE Cognigy).
Tool-NutzungSpracheMemoryRAG
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