Multi-agent orchestration platform from Japan — TRINITY model + finance underwriting agents.
ツール利用メモリRAGマルチエージェント
Demo · hover to playLegora vs Phindwhich AI research agent should you pick in 2026?
Collaborative legal AI agents for due diligence, contract review, and drafting.
Tool useMemoryRAGMulti-agent
Legora vs Phind — specs
| Spec | Legora | Phind |
|---|---|---|
| Agent Rank | 58 / 100 (B) | 68 / 100 (B) |
| Autonomy | Semi-autonomous | Assistant |
| Pricing | Subscription | Freemium · from $20 |
| Open source | No | No |
| Capabilities | Tool use, Memory, RAG, Multi-agent | Browser, RAG, Memory |
| Integrations | 4 apps | 1 apps |
| Verified | — | Verified |
| Released | Aug 2025 | Jan 2025 |
Agent Rank breakdown
Legora
Agent Rank
58/ 100
- 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?
Phind
Agent Rank
68/ 100
- 自律性
- 7
- 機能
- 6
- 連携
- 2
- 料金
- 8
- 完成度
- 8
- 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?
Pros & cons
Legora
メリット
- +$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
デメリット
- −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
メリット
- +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
デメリット
- −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
カスタム
Boutique firms
- +Contract review agent
- +Due diligence
- +Word + SharePoint
おすすめ
Enterprise
カスタム
Mid + large firms
- +Multi-agent workflows
- +iManage/NetDocs sync
- +Advanced security
Sovereign
カスタム
Magic Circle
- +EU/US/UK data residency
- +BYO LLM option
- +Dedicated tenants
Phind
Free
無料
Trial
- +Limited Pro searches/day
- +Standard models
おすすめ
Pro
$20/月
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 →Affiliate links. We may earn a commission at no extra cost to you.
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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Multi-agent super-agent with built-in AI phone module — research, slides, sheets, real-world calls.
ブラウザ操作ツール利用音声メモリGemini に内蔵された長時間稼働のリサーチ機能で、計画立案・ウェブ閲覧・ブリーフ作成を行います。
ブラウザ操作RAGメモリビジョン
Demo · hover to play
See more alternatives: alternatives to Legora · alternatives to Phind
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