Harvey AI vs Magic.dev: 2026 comparison
AI legal associate for law firms — drafts, reviews, and researches across complex matters.
Harvey AI vs Magic.dev — specs
| Spec | Harvey AI | Magic.dev |
|---|---|---|
| Agent Rank | 67 / 100 (B) | 67 / 100 (B) |
| Autonomy | Semi-autonomous | Autonomous |
| Pricing | Subscription · Free tier | Subscription · Free tier |
| Open source | No | No |
| Capabilities | RAG, Memory, Tool use | Code, Tool use, Memory |
| Integrations | 3 apps | 2 apps |
| Verified | Verified | Verified |
| Released | Apr 2025 | May 2025 |
Agent Rank breakdown
- Autonomy fit
- 8
- Capabilities
- 6
- Integrations
- 2
- Pricing value
- 9
- Polish & maturity
- 5
- Verifiability
- 10
Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?
- Autonomy fit
- 9
- Capabilities
- 6
- Integrations
- 2
- Pricing value
- 9
- Polish & maturity
- 4
- Verifiability
- 10
Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?
Pros & cons
- +Highest-quality legal-domain AI in 2026 — trained on actual legal work
- +Used by 350+ AmLaw firms; battle-tested in real matters
- +Strict data isolation — work product never leaves customer tenancy
- −Enterprise pricing only — no transparent SaaS pricing
- −Sales cycle is months; not a self-serve product
- −Still a junior associate by capability — humans own final work product
- +Unique long-context model — can hold an entire mid-sized repo in one session
- +Strong on cross-cutting refactors that other agents struggle with
- +Funded at frontier-lab levels — engineering muscle behind the product
- −Enterprise pricing — no public per-seat tier
- −Newer entrant — fewer customer references than Devin or Cursor
- −Best for very large codebases; overkill for solo + small-team work
Pricing
- +AI legal associate
- +Trained on legal corpora
- +iManage / NetDocs integration
- +SOC 2 II + ISO 27001
- +Everything in Firm
- +Dedicated VPC
- +Custom workflows
- +Privileged-data isolation
- +Long-context model (100M+ tokens)
- +Codebase-wide reasoning
- +Custom deployment
Which one should you pick?
Pick Harvey AI if its specific capabilities (RAG, Memory) match what you need.
Try Harvey AI →Pick Magic.dev if you want the highest autonomy and the verification loop is in place.
Try Magic.dev →Affiliate links. We may earn a commission at no extra cost to you.
Frequently asked
Should I pick Harvey AI or Magic.dev in 2026?+
Pick Harvey AI if its specific capabilities (RAG, Memory) match what you need. Pick Magic.dev if you want the highest autonomy and the verification loop is in place. Most working teams running both can use Harvey AI for primary work and Magic.dev for the workflows where its specific strengths matter.
What's the price difference between Harvey AI and Magic.dev?+
Both Harvey AI and Magic.dev start in the same pricing range (Subscription · Free tier vs Subscription · Free tier). Total cost of ownership depends on your team size and volume — see the TCO calculator for your specific math.
Which is more autonomous, Harvey AI or Magic.dev?+
Magic.dev 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.