What is the difference between Legora and Harvey AI?

Both are SaaS AI platforms for law firms. Harvey was founded earlier, raised more capital, and is more deeply marketed to AmLaw 100 firms. Its strongest features are research, citation, and transactional drafting. Legora is European-founded with a stronger collaborative workspace UX and broader horizontal coverage (drafting, review, Q&A). Harvey wins on research-product depth; Legora wins on collaborative UX and integration breadth at firms not already standardized on Microsoft 365.

Is Legora cheaper than Harvey?

Both are enterprise SaaS with non-public per-seat pricing. The practical floor at mid-market firms is approximately $80 to $150 per attorney per month for either. Annual contract minimums for firms in the 40-150 attorney range typically land in the $80K to $200K range. Legora is often quoted slightly below Harvey but the gap is smaller than vendor marketing suggests. Run both through a procurement process to know the actual delta for your firm.

Which is better for a mid-market law firm: Legora, Harvey, or a custom build?

For mid-market firms with standardized transactional workflow, Harvey is typically the better SaaS choice. For firms with broader horizontal needs and a preference for collaborative UX, Legora is the better SaaS choice. For firms with custom matter taxonomies, bespoke billing rules, or specific partner-reporting requirements, neither SaaS calibration matches the firm's actual workflow and a custom build typically outperforms both at lower 24-month TCO.

Can a custom build do what Legora and Harvey both do?

For most law-firm workflows, yes. Custom builds orchestrate frontier models (Claude, GPT, Gemini) directly and can be scoped to drafting, review, intake, matter management, billing reconciliation, and partner reporting. The two areas where a custom build typically does not match either Legora or Harvey at parity are (a) polished research-product UX, where Harvey leads, and (b) collaborative editing UX, where Legora leads. For firms where research and collaborative editing are not the primary use cases, custom outperforms both.

What firms should not buy either Legora or Harvey?

Firms that should not buy either: (a) firms under 20 attorneys where the per-seat economics destroy ROI, (b) firms with strict data-residency requirements that SaaS posture cannot meet, (c) firms whose pain is concentrated in matter intake or billing rather than drafting and research, where neither product is calibrated to deliver, and (d) firms that want to own the system at handoff rather than rent in perpetuity. All four cases are typical custom-build candidates.

Home/ Comparisons/ Legora vs Harvey AI

Legora vs Harvey AI. Two excellent SaaS platforms, and the third option neither pitches.

Both are well-built. Both raise serious capital. Both are calibrated for the average AmLaw 100 customer. For a mid-market firm with custom workflow, the right comparison is not Legora versus Harvey, but Legora versus Harvey versus a commissioned custom build that fits the firm's actual operation.

Buyer20 to 150 attorneys

Legora$80 to $150/atty/mo

Harvey$80 to $150/atty/mo

Custom build$45K to $180K fixed

The short answer.

Between Legora and Harvey alone: Harvey for AmLaw-style transactional firms with deep research needs; Legora for firms with collaborative editing as the primary workflow and a non-Microsoft stack. Both pricing tiers land in the same neighborhood at mid-market firm sizes.

Between either of them and a custom build: SaaS for firms whose workflow matches the vendor's calibration; custom for firms whose workflow does not. The vendor calibration question is the one that gets skipped in most procurement processes. Custom builds win when the firm's matter taxonomy, intake source mix, document library, or partner-reporting rhythm is bespoke enough that the vendor calibration costs more value than it returns.

Three way

How they compare.

01Research and citation.Harvey: mature research product. Strongest of the three on case-law lookup, citation, summarization.

Legora: capable research; less polished UX than Harvey.

Custom build: orchestrates frontier models directly. Functional but does not replicate Harvey's research-product UX at parity.ResearchHarvey wins

02Collaborative drafting.Legora: strongest collaborative workspace UX of the three. Multiple lawyers editing the same document with AI assistance.

Harvey: capable drafting; Word and Outlook integrations are good but the workspace is less collaborative-native.

Custom build: drafting can be embedded into the firm's existing document workflow (Word, NetDocuments, iManage) but rarely matches Legora's purpose-built collaborative UX.DraftingLegora wins

03Fit to bespoke workflow.Legora and Harvey: SaaS calibration. Configurable but not custom-built. Firms with bespoke matter taxonomy or intake workflow lose 20-40% of the platform's value to misfit.

Custom build: commissioned to the specific firm's operation. Zero misfit at handoff because the system is shaped to the firm's data, not the vendor's average.FitCustom wins on bespoke

04Pricing.Legora and Harvey: roughly equivalent per-seat. For a 50-attorney firm, both run $80K to $200K per year. Over 24 months: $160K to $400K.

Custom build: $45K to $180K one-time fixed fee. Over 24 months at the midpoint: $90K. The 24-month TCO crossover happens before month 18 for most mid-market firms.CostCustom wins on TCO

05Ownership.Legora and Harvey: SaaS. The firm rents access.

Custom build: the firm owns the code at handoff. Runs in the firm's tenant. Direct model-provider contracts.

For firms with strict data-residency or ethical-wall posture, custom is the only acceptable answer.SovereigntyCustom wins

The decision tree.

Is the firm AmLaw 100 or above 150 attorneys? Harvey or Legora. The per-seat economics scale, and either SaaS platform's calibration is typically a fit. Stop reading.
Is research and case-law lookup the primary use case? Harvey.
Is collaborative drafting the primary use case, and the firm runs a non-Microsoft stack? Legora.
Is the firm 20 to 150 attorneys with bespoke matter intake, custom billing, or specific partner reporting? Custom build. SaaS misfit costs more than the per-seat savings.
Strict data residency requirement? Custom build only.
Wants to own the system at handoff? Custom build only.

If custom is the right answer

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Legora vs Harvey AI. Two excellent SaaS platforms, and the third option neither pitches.

The short answer.

How they compare.

The decision tree.

Book the 45-minute diagnosis.

Related reading.