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Legora vs Phindwhich AI research agent should you pick in 2026?

Collaborative legal AI agents for due diligence, contract review, and drafting.

🔬ResearchSemi-autonomousSubscription
Tool useMemoryRAGMulti-agent

AI search engine for developers — answers technical questions with code-first results and citations.

🔬ResearchAssistantFreemium · from $20
BrowserRAGMemory

Legora vs Phind — specs

SpecLegoraPhind
Agent Rank58 / 100 (B)68 / 100 (B)
AutonomySemi-autonomousAssistant
PricingSubscriptionFreemium · from $20
Open sourceNoNo
CapabilitiesTool use, Memory, RAG, Multi-agentBrowser, RAG, Memory
Integrations4 apps1 apps
VerifiedVerified
ReleasedAug 2025Jan 2025

Categories: LegoraResearch · PhindResearch

Agent Rank breakdown

Legora
Agent Rank
58/ 100
BB-tier
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?

Phind
Agent Rank
68/ 100
BB-tier
Autonomy
7
Capabilities
6
Integrations
2
Pricing
8
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 — 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
Phind
Pros
  • +Best dev-focused AI search — code-first results with citations
  • +Citations are real and current; less hallucination than ChatGPT for code
  • +VS Code extension brings Phind into the editor
Cons
  • Smaller index than Perplexity for non-dev queries
  • Best as a complement to a coding agent, not a replacement
  • Free tier limits make heavy daily use painful

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
Phind
Free
Free
Trial
  • +Limited Pro searches/day
  • +Standard models
Recommended
Pro
$20/mo
Working devs
  • +Unlimited Pro searches
  • +Frontier model access
  • +Custom Phind agents

Which one should you pick?

Legora

Pick Legora if you want the highest autonomy and the verification loop is in place or if your stack spans many tools and integration depth is the constraint.

Try Legora →
Phind

Pick Phind if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy.

Try Phind →

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Frequently asked

Should I pick Legora or Phind in 2026?+

Pick Legora if you want the highest autonomy and the verification loop is in place or if your stack spans many tools and integration depth is the constraint. Pick Phind if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy. Most working teams running both can use Legora for primary work and Phind for the workflows where its specific strengths matter.

What's the price difference between Legora and Phind?+

Legora starts at Subscription; Phind starts at Freemium · from $20. Phind 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, Legora or Phind?+

Legora is the more autonomous of the two (Semi-autonomous vs Assistant). 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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Want the real monthly cost at your volume? Run the TCO calculator →
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Legora vs Phind (2026): which AI research agent wins? · AI Agent Rank