Hebbia vs Glean is a common framing that misses the point — they're not the same category. Hebbia is vertical-specialized research (originally for finance, now expanding). Glean is horizontal enterprise search across all your SaaS. Here's the honest comparison and how to pick.
The 30-second take
Hebbia — Vertical-specialized AI research agent for deep document analysis. Lives at the intersection of cross-document Q&A + financial-domain reasoning. Default at hedge funds, IB analyst teams, due-diligence groups, and increasingly law firms doing complex M&A.
Glean — Horizontal enterprise search across all your SaaS tools (Slack, Notion, Google Drive, Confluence, Salesforce, GitHub, 100+ others). Default at 500+ employee orgs where knowledge is fragmented across many tools.
Side-by-side
| Dimension | Hebbia | Glean |
|---|---|---|
| Category | Vertical research agent | Horizontal enterprise search |
| Primary workflow | Multi-doc analyst research | Cross-tool knowledge retrieval |
| Best for | Finance, M&A, due diligence, legal | All-org knowledge work |
| Document types | PDFs, financial filings, contracts | Anything in your SaaS stack |
| Pricing model | Per seat | Per employee |
| Target users | Analysts, lawyers, researchers | All employees |
| Org size fit | 5-50 specialized users | 500+ all-org deployment |
| Integration count | 5-15 finance/legal sources | 100+ SaaS tools |
When Hebbia wins
Hebbia is the right pick when:
- You're a hedge fund, asset manager, IB, PE, or strategy consulting firm
- Your analysts run multi-document research workflows (50-500 PDFs at a time)
- Your work involves financial filings, deal docs, due-diligence packs
- You need domain-specialized reasoning (financial concepts, deal mechanics, legal clauses)
- You're a law firm doing complex M&A or financial litigation
- Per-seat pricing of $1-3K/year is justifiable for the analyst time saved
Hebbia's killer feature is multi-document analyst-grade research that horizontal tools can't replicate. The cross-document reasoning is genuinely better than RAG-over-Glean for finance work.
When Glean wins
Glean is the right pick when:
- You're a 500+ employee org with knowledge fragmented across 10+ SaaS tools
- The pain is "where did Pat write that thing 6 months ago" across Slack + Notion + Drive
- Most employees would benefit from better knowledge search, not just analysts
- You're targeting org-wide productivity, not vertical-specialized research
- Procurement comfort + security review for an all-employee tool matters
- Budget supports $50-150/employee/year all-employee deployment
Glean's killer feature is federated search across the SaaS stack. Most queries are "find this thing I or my coworker wrote/sent" — that's what Glean is for.
The "run both" reality
Large financial services firms commonly run both:
- Glean for org-wide knowledge search — Slack + Notion + Confluence + Salesforce + email
- Hebbia for the analyst research workflow specifically — deep multi-PDF analysis on deals and investments
They don't overlap. Glean isn't useful for "analyze 200 10-Ks and find the comparable-companies revenue growth pattern." Hebbia isn't useful for "what did Pat write in Slack last week about the new compensation policy."
Combined cost for a 1,500-employee asset manager: roughly $150K (Glean) + $50K (Hebbia for 30-person investment team) = $200K/year. The productivity ROI typically clears 5-15× at firm scale.
Pricing reality
Hebbia (May 2026):
- Enterprise-only, no public rates
- Reference points: $1-3K/seat/year for finance teams, $1.5-4K/seat/year for legal teams doing M&A
- Volume tiers at 25, 50, 100, 250+ seats
- Minimum deployment usually 10-15 seats
Glean (May 2026):
- Enterprise-only, no public rates
- Reference points: $50-150/employee/year for typical mid-market + enterprise deployments
- Minimum deployment usually 500-1,000 employees (smaller deployments don't justify the implementation cost)
- Add-on modules (Glean Chat, Glean Actions) at additional cost
How they compare to alternatives
- Hebbia vs general LLMs (ChatGPT, Claude): Different categories. General LLMs work for individual analyst Q&A but lack the multi-document reasoning, citation accuracy, and finance-domain depth Hebbia provides. For serious analyst workflows, Hebbia wins.
- Hebbia vs Harvey: Harvey is legal-specialized; Hebbia is finance-specialized (with expanding legal). Pick by vertical primary need. Law firms doing M&A often run both.
- Glean vs Moveworks: Different categories. Glean is search + retrieval. Moveworks is action + workflow execution. See Moveworks vs Glean.
- Glean vs Notion AI / Confluence search: Glean wins on cross-tool federation. Notion + Confluence are siloed-knowledge-only.
Bottom line
The "Hebbia vs Glean" framing is a category error — they target different problems. If you're an analyst doing deep multi-document research, you want Hebbia. If you're a 500+ employee org with fragmented knowledge across SaaS tools, you want Glean. Large financial firms often run both. Pick by the workflow you're trying to solve, not by a head-to-head feature comparison.
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