Home / Blog / AI & Dealtech

Harvey AI Alternative for M&A Deal Teams (2026)

Harvey AI is a GPT-4-powered legal assistant for law firms. What boutique M&A advisors use instead for origination, execution support, and APAC deal flow.

Harvey AI is the leading generative AI platform for law firms — backed by Google and used by A&O Shearman, Milbank, and Davis Polk for legal research, SPA drafting, and transaction analysis. But Harvey is a law firm tool, not a boutique M&A advisor’s workflow platform. It covers legal research and drafting; it does not provide deal origination, buyer mapping, CIM production, or APAC execution support. Amafi fills those gaps for boutique advisors and deal teams working across Asia Pacific.

For the broader AI diligence and legal tools landscape for M&A, see best AI tools for M&A due diligence 2026.

What Harvey AI Does

Harvey AI was founded in 2022 by a former DeepMind researcher and a lawyer from Davis Polk. It has raised over $500 million at a reported valuation exceeding $3 billion, backed by Google, Kleiner Perkins, and the OpenAI Startup Fund. Its primary user base is law firms and in-house legal teams at financial institutions.

Harvey’s core capabilities in M&A contexts:

Legal research. Harvey answers open-ended legal questions using case law, regulatory filings, and internal matter databases. For M&A transactions, it can research regulatory approval requirements, competition law thresholds across jurisdictions, and deal-specific legal precedents — the kind of research that typically requires junior associate time.

Contract drafting and review. Harvey drafts standard form agreements, suggests edits to SPA provisions, and marks up NDAs and confidentiality agreements. Unlike Kira or Luminance, Harvey does not extract structured data fields — it reads contracts as a legal analyst would and responds to specific questions or drafting requests in natural language.

Transaction analysis. Harvey can summarise virtual data room documents, identify material issues in disclosure schedules, and draft legal summaries from diligence document sets. Law firms use it to accelerate the transaction analysis work that would otherwise consume junior associate time on long mandates.

Regulatory and compliance queries. Harvey can respond to queries about FIRB thresholds in Australia, FEMA restrictions in India, KFTC filing requirements in South Korea, and FEFTA notifications in Japan — the cross-jurisdictional regulatory research that takes a law firm associate several hours to compile manually.

Harvey is deployed at the firm level. Boutique M&A advisors access Harvey’s output through their legal counsel, not as direct subscribers. Harvey’s pricing and integration model is designed for law firm infrastructure, not boutique advisory practices.

Why Boutique M&A Advisors Look for Alternatives

The boutique M&A advisor’s constraints are not legal research and drafting — those belong to the law firm. The advisor’s capacity is consumed by deal origination (identifying targets, building buyer universes, preparing pitchbooks), early execution work (CIM drafting, financial modelling, buyer outreach coordination), and mandate management. Harvey addresses none of these.

2. Harvey is accessed through law firms, not directly

Boutique M&A advisors do not typically subscribe to Harvey. Harvey integrates with law firm document management systems (iManage, NetDocuments) and is configured for firm-level deployment. An advisor evaluating tools for their own practice — to originate pipeline and run mandates — is looking in a different product category.

3. No APAC private company data or buyer matching

Harvey does not identify acquisition targets, screen private company databases, or generate buyer universes. For APAC M&A advisors whose primary constraint is building proprietary deal flow across markets with fragmented registry data (Japan, Korea, Southeast Asia), a legal AI assistant does not address the origination bottleneck.

4. No execution support

Deal execution support covers the operational deliverables of an active mandate: CIM drafting, financial modelling, buyer list building, diligence operations coordination. Harvey’s scope is legal research and drafting. The execution workflow gap remains unaddressed.

“Most boutique advisors are not constrained by legal research time — that is what their legal counsel is for. The real bottleneck is origination capacity and execution throughput on active mandates. That is what infrastructure like Amafi is built to solve.” — Daniel Bae, Founder and CEO, Amafi ($30B+ in transaction experience)

Harvey vs. Luminance vs. Kira: Comparison

For deal teams comparing AI tools in the legal and diligence cluster:

DimensionHarvey AILuminanceKira Systems (Litera)
Primary functionGenerative legal research and draftingML-based contract risk reviewStructured contract field extraction
Use caseOpen-ended legal tasks, memos, regulatory queriesHeterogeneous contract portfolios, risk flaggingLarge homogeneous contract sets, defined field extraction
Access modelLaw firm enterprise subscriptionEnterprise/law firm subscriptionEnterprise/law firm subscription
Contract data outputNatural language responsesRisk-flagged review outputStructured field extraction tables
Custom trainingFirm-level fine-tuning supportedLimited custom training optionsYes — custom extraction models per clause type
APAC language supportLimited (primarily English-language training)Better multi-language support for APAC contractsLimited APAC language support
Direct advisor accessNot typicalNot typicalNot typical

For APAC transactions, all three platforms have limited coverage of Japanese, Korean, Mandarin, and Bahasa-language contracts compared to their English-language capabilities. Luminance has made the most progress on multi-language contract review for APAC deal contexts.

Full Capability Comparison: Harvey vs. Amafi

CapabilityHarvey AIAmafi
Deal origination / target identificationNoYes — 13 APAC markets
Buyer universe constructionNoYes — strategic, PE, corp dev, and family office mapping
CIM / pitchbook productionLegal drafting onlyYes — full CIM drafting and production support
Financial modellingNoYes — LBO, DCF, earn-out scenarios
Buyer outreach coordinationNoYes — approach letters, outreach sequencing
Diligence operationsLegal analysis onlyYes — coordination, issue tracking
Legal research and draftingYes — core capabilityNo — delivered through legal counsel
Contract analysisYes — generative natural-language reviewNo
APAC market coverageLimited (English-language focus)Built for APAC across 13 markets
Access modelLaw firm enterprise subscriptionDirect advisory engagement
PricingEnterprise (law firm subscription)Project-based, fixed-fee

When Harvey AI Is the Right Choice

Harvey is appropriate when:

  • A law firm or in-house legal team needs to accelerate legal research, contract drafting, and transaction memos
  • The use case is SPA comment generation, regulatory query responses, or diligence memo drafting by legal counsel
  • The firm has existing document management infrastructure (iManage, NetDocuments) that Harvey can integrate with

Harvey is not designed for boutique M&A advisors building proprietary deal flow and running mandates across Asia Pacific.

What Boutique APAC Advisors Use Instead

For the advisory workflow gaps that Harvey does not address:

  • Deal origination and target identification: Amafi’s origination service provides AI-augmented target identification, buyer universe mapping, and pitchbook preparation across 13 APAC markets
  • Execution support: Amafi’s execution support covers CIM drafting, financial modelling, buyer research, and diligence operations on active mandates
  • Contract lifecycle management: Ironclad for enterprise NDA and contract workflow automation by in-house legal teams
  • Contract review (legal layer): Luminance for ML-based contract risk review, Kira for structured field extraction — both accessed through legal counsel

For boutique advisors who need infrastructure to originate pipeline and run mandates across APAC, Amafi’s advisor partnership is the relevant conversation.

Daniel Bae

About the author

Daniel Bae

Co-founder & CEO, Amafi

Daniel is an investment banker with 15+ years of experience in M&A, having advised on deals worth over US$30 billion. His career spans Citi, Moelis, Nomura, and ANZ across London, Hong Kong, and Sydney. He holds a combined Commerce/Law degree from the University of New South Wales. Daniel founded Amafi to solve the pain points in M&A, enabling bankers to focus on what matters most — delivering trusted advice to clients.