Agentery pricing intelligence · Agent profile · AI Legal Research Agent
Agent profile · independently tracked by Agentery

AI Legal Research Agent
Automates legal research by finding relevant case law, summarizing legal arguments, and synthesizing precedents from public databases and a firm's private know…
Agentery price verdictNo pricing observed
Billing model—
Last observation25 Oct 2026pricing pages rechecked daily
Website liveness24 Oct 2026alive · separate from pricing
What it does
The specific capability behind this listing, and where to get it.
Automates legal research by finding relevant case law, summarizing legal arguments, and synthesizing precedents from public databases and a firm's private knowledge
Natural language legal questions, legal documents (PDFs, case law, statutes, court orders, deposition transcripts, settlement agreements, witness statements → Synthesized argument summaries, relevant case law citations, statutory references, judicial holding analysis, supporting/contradictory precedent lists, case factual summaries, verifiable visual citations linked to source
WestlawLexisNexisSharePointautonomy: workflow automation
Official AI Legal Research Agent links
Price status · observed daily
No public commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is AI Legal Research Agent good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
No price benchmark
No public commercial pricing observed.
Agentery has not observed a public price for this provider. No price does not mean free.
Observed commercial pricenone
NicheLitigation Analysis
Price benchmarknot applicable
What to compare instead
Check capability before deciding
Compare capability, compatibility and operational cost against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
View the full niche →AI Legal Research Agent's local market
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See the MCP response behind this page · get_provider_profile()
See the MCP response behind this pageget_provider_profile (get_agent_profile remains a callable alias)
{
"agent_id": "ai_legal_research_agent_automa",
"name": "AI Legal Research Agent",
"url": "https://v7labs.com/agents/ai-legal-research-agent",
"logo": "https://agentery.com/logos/CP-2HV79C-128.png",
"niche": "litigation-analysis",
"category": "legal",
"short_summary": "Automates legal research by finding relevant case law, summarizing legal arguments, and synthesizing precedents from public databases and a firm's private know…",
"task_performed": "Automates legal research by finding relevant case law, summarizing legal arguments, and synthesizing precedents from public databases and a firm's private knowledge",
"inputs_accepted": [
"Natural language legal questions",
"legal documents (PDFs",
"case law",
"statutes",
"court orders",
"deposition transcripts",
"settlement agreements",
"witness statements",
"subpoenas",
"internal memos)",
"URLs",
"up to 200 pages",
"50+ languages",
"multi-modal"
],
"outputs_produced": [
"Synthesized argument summaries",
"relevant case law citations",
"statutory references",
"judicial holding analysis",
"supporting/contradictory precedent lists",
"case factual summaries",
"verifiable visual citations linked to source"
],
"integrations_available": [
"Westlaw",
"LexisNexis",
"SharePoint"
],
"protocols_or_interfaces": [],
"industry_fit": [
"legal"
],
"autonomy_level": "workflow automation",
"human_approval_needed": "unclear",
"pricing_model": "enterprise/contact sales",
"price": {
"observed": true,
"billing": "contact_sales",
"source_kind": "vendor",
"currency": "USD",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Contact sales (no public price)",
"commercial": {
"currency": "USD",
"lines": []
},
"summary": "Contact sales (no public price). Pricing is custom-quoted through an annual agreement based on platform access, users, and document volume.",
"confidence": "high",
"source_url": "https://www.v7labs.com/pricing",
"checked_at": "2026-10-25T01:09:23.003Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [
"SOC2 stated",
"HIPAA stated",
"GDPR stated",
"ISO stated",
"audited and penetration-tested",
"no training on your data",
"enterprise-grade security",
"case study video (finance firms)"
],
"evidence_quality": "high",
"entity_type": "agent",
"regulated_data_suitability": "possibly suitable (HIPAA stated, SOC2 stated, GDPR stated, ISO stated)",
"evidence_urls": [
"https://v7labs.com/agents/ai-legal-research-agent",
"https://www.v7labs.com/agents/ai-legal-research-agent"
],
"last_checked": "2026-10-25",
"profile_checked": "2026-06-16",
"price_checked": "2026-10-25",
"how_to_connect": {
"website": "https://v7labs.com/agents/ai-legal-research-agent",
"docs": "https://www.v7labs.com/docs",
"mcp": null,
"a2a": null,
"api": null,
"protocols": [],
"install": null,
"repository": null
},
"deployment": {
"model": "unknown",
"both_offered": false,
"hosted_endpoint": null,
"install": null,
"note": "No deployment evidence held — Agentery has no endpoint, install instruction or directory attribute for this listing.",
"evidence": null
},
"licence": {
"name": null,
"note": "No named licence found in the retained page text or source attributes. A public repository alone does not establish an open-source licence.",
"evidence": null
},
"evidence_checks": {
"price": {
"source_url": "https://www.v7labs.com/pricing",
"last_observed_day": "2026-10-25",
"age_days": 0,
"verified_day": null,
"note": "from the listing's current price record; no separate page-text verification is held"
},
"agent_card": {
"status": "unknown",
"note": "no Agent Card URL recorded for this listing"
},
"endpoint": {
"status": "unknown",
"note": "endpoint not yet checked"
}
},
"product_group": null,
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 596,
"uptime_7d": 1,
"checked_at": "2026-10-24T02:31:16.209Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}