Litigation Analysis
Query this niche via MCP
niche_report({ niche: "litigation-analysis" })Agents · median
MCP servers · median
All plans — Agents vs MCPs
each dot = one provider · log scaleNo providers priced at the All tier yet.
All plans
0 pricedProvidervs its cohort medianMonthly
Position is relative to the provider's own delivery-type median at this tier — never a blended one.
This page is the human view of the MCP answer. The same structured `niche_report` / `price_benchmark` an agent receives over MCP or REST.
niche_reportprice_benchmark
See the MCP response behind this pageniche_report
{
"niche": "litigation-analysis",
"parent_sector": "legal",
"provider_type_pricing": {
"slug": "litigation-analysis",
"pricing_basis": "lowest_observed_monthly_usd",
"provider_type_methodology": "commercial-form-v2",
"provider_type_methodology_published_at": "2026-07-31",
"blended": {
"median": 512,
"p25": null,
"p75": null,
"providers": 2
},
"by_provider_type": {
"agent": {
"median": null,
"p25": null,
"p75": null,
"providers": 2,
"publishable": false,
"confidence": "insufficient",
"reason": "Fewer than three comparable priced Agent-economy products are available."
},
"mcp": {
"median": null,
"p25": null,
"p75": null,
"providers": 0,
"publishable": false,
"confidence": "insufficient",
"reason": "Fewer than three comparable priced MCP servers are available."
}
},
"recommended_cohort": null,
"recommendation_reason": "Choose the cohort according to the commercial delivery type being assessed.",
"fallback_context": null,
"context_note": null
},
"crowding_level": "empty",
"observed_node_count": 0,
"adjacent_niches": [
"e-discovery-review",
"contract-clause-extraction",
"ma-diligence-document-review",
"real-estate-transaction-docs",
"ai-paralegal-agent",
"deposition-prep"
],
"market_pulse": {
"pulse": 63,
"drivers": [
"enterprise money present",
"1 new builder in 30d"
],
"price_move_30d_pct": null,
"money_share": 1,
"entry_rate": 0.08333333333333333,
"alive_share": 1
},
"price_move": {
"d_pct": 0,
"w_pct": 0,
"m_pct": 0,
"comparable_agents": 2,
"quarantined_agents": 0,
"confidence": "thin",
"published": {
"d": false,
"w": false,
"m": false
},
"held_reason": {
"d": null,
"w": null,
"m": null
},
"driver": {
"d": null,
"w": null,
"m": null
},
"tier_contribution": {
"d": {
"individual": 0,
"pro": 0,
"team_sme": 0,
"enterprise": 0
},
"w": {
"individual": 0,
"pro": 0,
"team_sme": 0,
"enterprise": 0
},
"m": {
"individual": 0,
"pro": 0,
"team_sme": 0,
"enterprise": 0
}
},
"tier_series": {
"individual": [
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100
],
"pro": [
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100
],
"team_sme": [
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100
],
"enterprise": [
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100
]
},
"tier_own_move": {
"d": {
"individual": 0,
"pro": 0,
"team_sme": 0,
"enterprise": 0
},
"w": {
"individual": 0,
"pro": 0,
"team_sme": 0,
"enterprise": 0
},
"m": {
"individual": 0,
"pro": 0,
"team_sme": 0,
"enterprise": 0
}
},
"tier_agents": {
"individual": 1,
"pro": 1,
"team_sme": 1,
"enterprise": 1
},
"obs_range": {
"d": null,
"w": null,
"m": null
},
"tier_obs_range": {
"d": {
"individual": null,
"pro": null,
"team_sme": null,
"enterprise": null
},
"w": {
"individual": null,
"pro": null,
"team_sme": null,
"enterprise": null
},
"m": {
"individual": null,
"pro": null,
"team_sme": null,
"enterprise": null
}
}
},
"pricing": {
"sampleSize": 7,
"observed": 3,
"byPersona": {
"free": {
"n": 0,
"nPriced": 0,
"reliability": "none",
"median": null,
"p25": null,
"p75": null,
"min": null,
"max": null,
"usageShare": 0
},
"individual": {
"n": 0,
"nPriced": 0,
"reliability": "none",
"median": null,
"p25": null,
"p75": null,
"min": null,
"max": null,
"usageShare": 0
},
"pro": {
"n": 3,
"nPriced": 3,
"reliability": "low",
"median": 50,
"p25": 37.5,
"p75": 66.5,
"min": 25,
"max": 83,
"usageShare": 1
},
"team_sme": {
"n": 0,
"nPriced": 0,
"reliability": "none",
"median": null,
"p25": null,
"p75": null,
"min": null,
"max": null,
"usageShare": 0
},
"enterprise": {
"n": 3,
"nPriced": 1,
"reliability": "none",
"median": 999,
"p25": 999,
"p75": 999,
"min": 999,
"max": 999,
"usageShare": 0
}
},
"byPersonaMonthly": {
"free": {
"nMonthly": 0,
"p25": null,
"median": null,
"p75": null,
"confidence": "none",
"usageShare": 0,
"mixedBilling": false,
"monthlyComparable": false
},
"individual": {
"nMonthly": 0,
"p25": null,
"median": null,
"p75": null,
"confidence": "none",
"usageShare": 0,
"mixedBilling": false,
"monthlyComparable": false
},
"pro": {
"nMonthly": 0,
"p25": null,
"median": null,
"p75": null,
"confidence": "none",
"usageShare": 1,
"mixedBilling": false,
"monthlyComparable": false
},
"team_sme": {
"nMonthly": 0,
"p25": null,
"median": null,
"p75": null,
"confidence": "none",
"usageShare": 0,
"mixedBilling": false,
"monthlyComparable": false
},
"enterprise": {
"nMonthly": 1,
"p25": null,
"median": null,
"p75": null,
"confidence": "none",
"usageShare": 0,
"mixedBilling": false,
"monthlyComparable": false
}
},
"byTierCohorts": {
"status": "insufficient",
"cohorts": [],
"rejected": {
"ambiguous_cadence": 2
},
"evidence": {
"status": "observed_offers_only",
"single_observations": [],
"observed_offers": [
{
"billing": "monthly",
"unit": "flat",
"count": 4,
"offers": [
{
"provider": "dodonai_deposition",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$25/mo",
"monthly_usd": 25
},
{
"provider": "dodonai_deposition",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$50/mo",
"monthly_usd": 50
},
{
"provider": "dodonai_deposition",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$83/mo",
"monthly_usd": 83
},
{
"provider": "litmas_ai",
"tier": "enterprise",
"billing": "monthly",
"unit": "flat",
"price": "$999 /mo",
"monthly_usd": 999
}
]
},
{
"billing": "unspecified_period",
"unit": "flat",
"count": 2,
"offers": [
{
"provider": "ai_legal_research_agent_automa",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Custom pricing",
"monthly_usd": null
},
{
"provider": "dodonai_deposition",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Custom pricing",
"monthly_usd": null
}
]
}
],
"coverage": {
"priced_providers": 3,
"normalized_observations": 4,
"comparable_providers": 2,
"strict_cohorts": 0,
"exclusion_reasons": {
"ambiguous_cadence": 2
}
}
}
},
"billingMix": {
"contact_sales": 1,
"usage": 1,
"subscription": 1
},
"freeTierShare": 0,
"medianLowestUsd": 512
},
"movement": null,
"index_series": {
"series": [
{
"day": "2026-07-09",
"index": 100,
"pairs": 3,
"dayChangePct": 0
},
{
"day": "2026-07-10",
"index": 100,
"pairs": 3,
"dayChangePct": 0
},
{
"day": "2026-07-11",
"index": 100,
"pairs": 3,
"dayChangePct": 0
},
{
"day": "2026-07-12",
"index": 100,
"pairs": 1,
"dayChangePct": 0
},
{
"day": "2026-07-13",
"index": 100,
"pairs": 1,
"dayChangePct": 0
},
{
"day": "2026-07-14",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-15",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-16",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-17",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-18",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-19",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-20",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-21",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-22",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-23",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-24",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-25",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-26",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-27",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-28",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-29",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-30",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-31",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-01",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-02",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-03",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-04",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-05",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-06",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-07",
"index": 100,
"pairs": 2,
"dayChangePct": 0
}
],
"latest": 100,
"day_change_pct": 0,
"methodology": "Chained daily price index, base 100 on the first priced scan day (29 Jun 2026). The overall index is the COMPOSITE of the four buyer-tier indices (individual / pro / team&sme / enterprise): each day it moves by the equal-weighted average of the tiers' moves. Each tier index is like-for-like — only agents priced on both consecutive scan days (per-agent ratios, geometric mean, clipped to [0.2, 5]) — so composition changes (agents revealing or hiding prices) can never move it."
},
"top_agents": [
{
"agent_id": "ai_legal_research_agent_automa",
"name": "AI Legal Research Agent",
"url": "https://v7labs.com/agents/ai-legal-research-agent",
"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…",
"price": {
"observed": true,
"billing": "contact_sales",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Contact sales (no public price)",
"summary": "V7 offers custom pricing based on platform access, users, and document processing volume."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "crimson",
"name": "Crimson",
"url": "https://crimson.law/",
"short_summary": "Analyzes litigation case files to find evidence, answer case-specific questions, draft documents, build timelines, verify facts, and manage deadlines for litig…",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public plan pricing was found; the pricing URL returns a 404 and the site directs visitors to request a demo."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "agentlegal",
"name": "agentlegal",
"url": "https://smithery.ai/server/heavysword1/agentlegal",
"short_summary": "Search federal court opinions and cases via CourtListener / RECAP Archive. Filter by court, date, and case type.\nGet detailed information about a specific cour…",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public price found on the vendor site."
},
"evidence_quality": "low",
"upvotes": 0
},
{
"agent_id": "dodonai_deposition",
"name": "Dodonai Deposition",
"url": "https://dodon.ai/ai-deposition-transcript-software",
"short_summary": "AI-powered deposition transcript management software for litigation teams. Features semantic search, automated Blue Book citations, annotation tools, and AI ch…",
"price": {
"observed": true,
"billing": "usage",
"lowest_monthly_usd": 25,
"monthly_usd": 25,
"headline": "From $25/mo",
"summary": "From $25/mo. Dodonai offers three annual-billed monthly credit plans from $25/mo, with per-page rates varying by document process, plus custom pricing for larger organizations."
},
"evidence_quality": "unclear",
"upvotes": 0
},
{
"agent_id": "litigation_prediction_ai_agent",
"name": "Litigation Prediction Ai Agent",
"url": "https://insurnest.com/agent-details/insurance/claims/litigation-prediction-ai-agent-in-claims-for-workers-compensation-insurance",
"short_summary": "AI system that predicts attorney involvement probability in workers compensation claims using injury type, employer relationships, and claim patterns. Enables…",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public subscription or usage pricing was observed for the Litigation Prediction AI Agent."
},
"evidence_quality": "unclear",
"upvotes": 0
},
{
"agent_id": "litmas_ai",
"name": "Litmas Ai",
"url": "https://litmas.ai/pricing/",
"short_summary": "AI litigation platform for attorneys that supports legal research, citation validation, case analysis, evidence mapping, and drafting of motions and other liti…",
"price": {
"observed": true,
"billing": "subscription",
"lowest_monthly_usd": 999,
"monthly_usd": 999,
"headline": "From $999/mo",
"summary": "From $999/mo. The site shows a $999/month flat-rate offering with access across an entire caseload or docket."
},
"evidence_quality": "unclear",
"upvotes": 0
},
{
"agent_id": "parambil",
"name": "Parambil",
"url": "https://parambil.com/solutions",
"short_summary": "AI-powered medical record review platform for complex litigation. Generates comprehensive chronologies, case validations, and legal document drafts. Features s…",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public price found on the vendor site."
},
"evidence_quality": "unclear",
"upvotes": 0
}
],
"platforms_also_here": [
{
"agent_id": "ibl_ai_2",
"name": "Ibl Ai 2",
"url": "https://ibl.ai/resources/enterprise/legal",
"short_summary": "Production-grade AI platform for legal firms deploying autonomous agents for document review, legal research, conflicts checking, and contract analysis. Full s…",
"price": {
"observed": true,
"billing": "usage",
"lowest_monthly_usd": 15000,
"monthly_usd": 15000,
"headline": "From $15000/mo",
"summary": "From $15000/mo. ibl.ai offers free-start rechargeable usage credits plus one-time pilots from $15,000 and integration deployments priced at $25,000–$80,000, while codebase transfers are six-figure engagements."
},
"home_niche": "ai-paralegal-agent",
"also_covers": true,
"upvotes": 0
},
{
"agent_id": "litify_ai",
"name": "Litify Ai",
"url": "https://litify.com/litify-ai",
"short_summary": "AI-powered legal software platform with native AI agents for law firms and corporate legal departments. Features specialized agents for intake, case management…",
"price": {
"observed": false,
"billing": "unknown",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public price found on the vendor site."
},
"home_niche": "ai-paralegal-agent",
"also_covers": true,
"upvotes": 0
},
{
"agent_id": "vulcan_technologies",
"name": "Vulcan Technologies",
"url": "https://vulcan.ai/",
"short_summary": "provides AI for law and government, including an agent covering the entire law and a concierge for government services",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public price found on the vendor site."
},
"home_niche": "regulatory-monitoring",
"also_covers": true,
"upvotes": 0
}
],
"page_url": "https://agentery.com/market/litigation-analysis",
"summary": {
"niche": "litigation-analysis",
"sector": "legal",
"pricing_by_provider_type": {
"headline": "No published benchmark for litigation-analysis yet — too few comparable priced providers.",
"benchmarks": [],
"warnings": [
"No priced providers meet the benchmark bar for this scope."
],
"full_pricing_via": {
"tool": "price_benchmark",
"arguments": {
"niche": "litigation-analysis"
},
"note": "add provider_type + buyer_tier for a specific cohort"
}
},
"page_url": "https://agentery.com/market/litigation-analysis",
"counts": {
"listings_with_price_capture": 7,
"listings_with_observed_public_price": 3,
"providers_with_numeric_monthly_price_latest_scan": null,
"like_for_like_comparable_pairs": null
},
"movement": {
"d": {
"published": false,
"value_pct": null,
"held_reason": null
},
"w": {
"published": false,
"value_pct": null,
"held_reason": null
},
"m": {
"published": false,
"value_pct": null,
"held_reason": null
}
},
"pricing_version": "cohorts-1",
"pricing_status": "observed_offers_only",
"pricing_by_tier": null,
"observed_offers": [
{
"billing": "monthly",
"unit": "flat",
"count": 4,
"offers": [
{
"provider": "dodonai_deposition",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$25/mo",
"monthly_usd": 25
},
{
"provider": "dodonai_deposition",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$50/mo",
"monthly_usd": 50
},
{
"provider": "dodonai_deposition",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$83/mo",
"monthly_usd": 83
},
{
"provider": "litmas_ai",
"tier": "enterprise",
"billing": "monthly",
"unit": "flat",
"price": "$999 /mo",
"monthly_usd": 999
}
]
},
{
"billing": "unspecified_period",
"unit": "flat",
"count": 2,
"offers": [
{
"provider": "ai_legal_research_agent_automa",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Custom pricing",
"monthly_usd": null
},
{
"provider": "dodonai_deposition",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Custom pricing",
"monthly_usd": null
}
]
}
],
"pricing_coverage": {
"listings_with_price_capture": 7,
"listings_with_observed_public_price": 3,
"normalized_observations": 4,
"comparable_providers": 2,
"strict_cohorts": 0,
"exclusion_reasons": {
"ambiguous_cadence": 2
}
},
"pricing_note": "No comparable cohort formed (a benchmark needs >=2 providers sharing a buyer tier AND billing unit). observed_offers lists the REAL provider offers, grouped and labelled by billing type — each is a single observed price, never aggregated across mixed units, periods or tiers.",
"pricing_excluded_observations": {
"ambiguous_cadence": 2
},
"billing_mix": {
"contact_sales": 1,
"usage": 1,
"subscription": 1
},
"free_tier_share": 0,
"top_providers": [
{
"agent_id": "ai_legal_research_agent_automa",
"name": "AI Legal Research Agent",
"price": {
"observed": true,
"billing": "contact_sales",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Contact sales (no public price)",
"summary": "V7 offers custom pricing based on platform access, users, and document processing volume."
},
"observed": true
},
{
"agent_id": "crimson",
"name": "Crimson",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public plan pricing was found; the pricing URL returns a 404 and the site directs visitors to request a demo."
},
"observed": false
},
{
"agent_id": "agentlegal",
"name": "agentlegal",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public price found on the vendor site."
},
"observed": false
},
{
"agent_id": "dodonai_deposition",
"name": "Dodonai Deposition",
"price": {
"observed": true,
"billing": "usage",
"lowest_monthly_usd": 25,
"monthly_usd": 25,
"headline": "From $25/mo",
"summary": "From $25/mo. Dodonai offers three annual-billed monthly credit plans from $25/mo, with per-page rates varying by document process, plus custom pricing for larger organizations."
},
"observed": true
},
{
"agent_id": "litigation_prediction_ai_agent",
"name": "Litigation Prediction Ai Agent",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public subscription or usage pricing was observed for the Litigation Prediction AI Agent."
},
"observed": false
}
],
"suggested_next_calls": [
{
"tool": "price_benchmark",
"arguments": {
"niche": "litigation-analysis"
},
"purpose": "full observed price distribution + per-tier medians for this niche"
},
{
"tool": "niche_report",
"arguments": {
"niche": "litigation-analysis",
"response_mode": "full"
},
"purpose": "the complete report incl. index series and tier decomposition"
},
{
"tool": "suggest_alternatives",
"arguments": {
"agent_id": "ai_legal_research_agent_automa"
},
"purpose": "comparable (optionally cheaper) providers to a named agent"
},
{
"tool": "get_agent_profile",
"arguments": {
"agent_id": "ai_legal_research_agent_automa"
},
"purpose": "full profile, integrations and pricing for one provider"
}
]
}
}Full market
2 providers, one sortable view
Dense enough for many listings; progressive disclosure keeps mobile usable.
ProviderTypeFromVs niche medianLiveness
Dodonai DepositionAI-powered deposition transcript management software for litigation teams. Features semantic search, automated Blue Book citations, annotation tools, and AI ch…Showing only providers with a published price or a free plan. $29 = lowest observed monthly · Free = free to use · Free tier = free plan + paid options.