AI Legal Research — Category Comparison

Published · Researched 2026-09-22

Researched 2026-09-22. Draft — not yet published. Selection method: social/community signal first — Threads, Facebook Groups, Instagram searched before vendor pages and review sites, per Deep-Research v4 (social-heavy).

Final item list

Tier key (SaaS-adapted from v4): Tier 1 = three independent platform/community types; Tier 2 = two independent sources with identifiable user mentions; Tier 3 = single-platform only (flagged). No item reached Tier 1 — Meta-platform discussion of legal AI is genuinely thin (see "Meta-unique findings" in the research log); the lawyer community lives on LinkedIn, bar-association reviews, and practitioner review sites, which are counted as community sources and disclosed per item.

Substitutions

• Robin AI → excluded. Contract-review focused (out of scope per task brief, same as Spellbook); its team was hired by Microsoft to build the Word Legal Agent (gc.ai, Sept 2026). No research file written; noted here instead of silently dropped.
• Spellbook → excluded per task brief (contract-focused, Word add-in).
• Casetext → folded into CoCounsel file (acquired by Thomson Reuters 2023; product lineage documented in cocounsel-thomson-reuters).
• Alexi (legal memo AI) → considered, not selected. Threads search returned no relevant discussion; web signal thinner than the six selected.
• General-purpose LLMs (ChatGPT/Claude) for legal research → not a 7th item, noted deliberately. The three Facebook Groups found are literally about lawyers using ChatGPT/Claude ("ChatGPT and AI for Law Firms," ~9,000 members; "Claude for Law Firms," ~2,000 members) — general LLMs dominate Meta-platform lawyer AI discussion, not the six products. But group content was mostly admin webinar spam, not product discussion, and general LLMs are not legal-research products. This gap is the honest Meta finding: lawyers talk about ChatGPT/Claude on Meta; they evaluate Harvey et al. on LinkedIn and in bar reviews.

UNVERIFIED list (every point marked in item files, collected)

1. Harvey pricing ($1,200–$2,500/seat/mo, 20-seat min, 12-mo contracts) — community-reported only; Harvey publishes nothing (pricing page 404 as of June 2026).
2. Harvey $11B valuation — press-reported (WebProNews), not vendor-confirmed.
3. CoCounsel pricing ($225 Core / $850 All-In / $428 solo) — third-party reported; vendor publishes nothing.
4. Lexis+ with Protégé pricing ($250–$500 band; growlaw's $17,500/yr single-source figure) — vendor publishes nothing.
5. Legora pricing ($300–$800/seat, ~10-seat min) — third-party reported; vendor publishes nothing.
6. Legora $550M Series D at $5.55B (March 2026) — single source (Caproasia), not independently corroborated.
7. Vincent AI pricing — contact vendor; free trial exists (per Lawyerist). Price UNKNOWN.
8. Harvey–Gabriel Macht ambassadorship — only a satirical FN London piece mentions it; no independent confirmation. Treated as UNVERIFIED, not cited as fact.
9. Support reputation for ALL six items — no verifiable independent support-rating data found for any of them.
10. Paxton integration list beyond web app — not verified.
11. Legora citation-verification depth and EU data-residency comfort — not directly evidenced; not claimed.
12. fahimai.com's "94%+ citation accuracy" and 90-day test figures — affiliate-style review site; promotional, treat as directional at best.
13. All eesel.ai review content — vendor content marketing (competitor); community figures cited within are attributed to Reddit/LinkedIn, not eesel's own testing.
14. Vendor benchmark claims (vLex "Ready for Primetime," Vals results) — vendor-selected studies; directional only.

Images — exhibit documents

No product images were gathered at research time (2026-09-22). When they land, they appear here as captioned exhibit documents — sourced and dated, never stock placeholders. An empty exhibit block means the evidence is still being collected.