Nexlaw Ai Legal Assistant For

{
  "agent_id": "nexlaw_ai_legal_assistant_for_",
  "name": "Nexlaw Ai Legal Assistant For",
  "url": "https://nexlaw.ai/",
  "logo": "https://agentery.com/logos/CP-9QSECG-128.png",
  "niche": "ai-paralegal-agent",
  "category": "legal",
  "short_summary": "AI legal assistant for litigation that performs legal research, document/deposition summarization, case chronology/timeline building, and drafts legal document…",
  "task_performed": "AI legal assistant for litigation that performs legal research, document/deposition summarization, case chronology/timeline building, and drafts legal documents with citation-backed outputs",
  "inputs_accepted": [
    "case files",
    "discovery materials",
    "contracts",
    "depositions",
    "exhibits",
    "and research questions uploaded to the platform"
  ],
  "outputs_produced": [
    "court-ready legal memos",
    "document summaries",
    "case timelines/chronologies",
    "drafted motions/pleadings/briefs",
    "and citation-backed legal arguments"
  ],
  "integrations_available": [],
  "protocols_or_interfaces": [],
  "industry_fit": [
    "legal (litigation",
    "trial work",
    "transactional",
    "in-house counsel)"
  ],
  "autonomy_level": "assistant",
  "human_approval_needed": "always required",
  "pricing_model": "enterprise/contact sales",
  "price": {
    "observed": true,
    "billing": "subscription",
    "currency": "USD",
    "lowest_monthly_usd": 249.92,
    "monthly_usd": 249.92,
    "headline": "From $249.92/mo",
    "summary": "From $249.92/mo. NexLaw offers two annual subscription plans for legal AI litigation support: Essential at $2,999/year and Professional at $3,999/year, billed per license with no minimum seat requirement.",
    "confidence": "high",
    "source_url": "https://www.nexlaw.ai/pricing/",
    "checked_at": "2026-07-28T05:59:33.267Z",
    "amount": 249.92,
    "display": "From $249.92/mo",
    "plans": [
      {
        "name": "Essential",
        "price": "$2999/year",
        "period": "year",
        "persona": "individual",
        "highlights": [
          "Solo Practitioner & Boutique Litigation Firms",
          "Defensible Case Theory Research",
          "IRAC-Ready Submissions & Arguments",
          "Impeachment & Deposition Discovery",
          "Strategic Legal Document Drafting & Review",
          "Enterprise-Grade Security & Encryption"
        ]
      },
      {
        "name": "Professional",
        "price": "$3999/year",
        "period": "year",
        "persona": "pro",
        "highlights": [
          "Trial Teams & High-Volume Litigators",
          "Everything in Essential, plus:",
          "Automated Fact-to-Evidence Chronologies",
          "Automated Evidentiary Timeline",
          "Adversarial Stress-Testing (Red Team)",
          "Vulnerability & Bad Fact Identification",
          "Outcome Probability & Risk Modeling",
          "Volume Seat Licensing & Dedicated Training",
          "Custom Data Retention & DPA"
        ]
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [
    "SOC 2 Type II Certified",
    "GDPR Compliant",
    "HIPAA Compliant",
    "256-bit encryption",
    "external security audits",
    "customer testimonials (Edward Mark Chavez, Amanda L. Perry, Emily C. Marx, Christian T. Balducci)",
    "case studies"
  ],
  "evidence_quality": "medium",
  "entity_type": "agent",
  "regulated_data_suitability": "possibly suitable (HIPAA stated, SOC2 stated, GDPR stated)",
  "evidence_urls": [
    "https://nexlaw.ai/",
    "https://www.nexlaw.ai/"
  ],
  "last_checked": "2026-06-16",
  "how_to_connect": {
    "website": "https://nexlaw.ai/",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": []
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 3035,
    "uptime_7d": 1,
    "checked_at": "2026-07-28T02:36:29.167Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}