Harvey AI Alternatives for M&A: Kira vs Luminance
Compare Harvey, Kira and Luminance for M&A legal diligence: document review, contract extraction, shared work and questions to test before buying.
Harvey AI alternatives for M&A diligence include Litera Kira and Luminance. All three can help legal teams review contract sets, but they organize the work differently: Harvey combines legal research, drafting and document analysis; Kira centers on clause extraction and review grids; Luminance analyzes contract portfolios for risks, obligations and unusual terms. Compare them using the same documents, questions and reviewer workflow.
This is a product-fit comparison based on public provider material reviewed 16 October 2026, not a hands-on test or an endorsement. Amafi’s methodology explains how we separate provider claims from editorial assessment. For a wider category view, see AI tools for M&A due diligence.
Harvey, Kira and Luminance at a glance
| Evaluation task | Harvey AI | Litera Kira | Luminance |
|---|---|---|---|
| Main published emphasis | Legal research, drafting and analysis of document sets | Contract clause extraction, cross-document questions and collaborative review | Contract portfolio analysis, anomalies, obligations and negotiation workflows |
| Diligence output to inspect | Vault review tables and source-cited reports | Extraction fields, review grid and source-linked answers | Contract findings and source-backed portfolio answers |
| Team workflow to test | Shared Vaults and controlled firm/client Spaces | Review assignments, custom fields and report exports | Review, obligation tracking and negotiation handoff |
| Key fit question | Do research and drafting needs justify a wider legal AI platform? | Can the team define and verify the fields it needs at scale? | Does the team need continuing contract intelligence beyond a single deal? |
These are provider-described capabilities, not independently measured accuracy or speed. Each product has overlapping features; the rows identify a practical starting point for evaluation, not exclusive functions.
Where the products overlap
Harvey’s Vault product page describes review tables that extract and compare data points across documents, plus cited reports and shared review. Its Spaces page describes controlled collaboration between law firms and in-house teams on M&A diligence. Harvey therefore should not be dismissed as unable to perform structured extraction or as available only to outside counsel.
Litera’s Kira product page describes lawyer-trained extraction fields, custom fields, cross-document natural-language questions and source-linked answers. Kira is not limited to a static spreadsheet export. Its stated focus remains contract review and diligence, with reports and collaboration in the same workflow.
Luminance’s Analyze page describes contract comparison, anomaly detection, obligations and questions across a contract repository. Its platform overview also presents negotiation and intake-to-execution workflows. That makes the contract lifecycle relevant when comparing it with a deal-specific review tool.
Run a useful diligence evaluation
- Use a permissioned sample. Select contracts your team may lawfully upload, including amendments, scans, schedules and conflicting versions. Confirm retention, access and model-use terms before uploading sensitive deal material.
- Write the questions first. Ask each product for change-of-control clauses, assignment restrictions, termination rights and missing schedules. Include a question with no answer in the documents to test how it handles uncertainty.
- Check the evidence path. Can a reviewer open the exact passage behind each answer, correct a field and export a defensible issue list? Record omissions and false positives with the same test set.
- Test the actual handoff. Have legal counsel and the deal team review the results using the proposed roles, permissions and document-management setup. Verify who can see client materials and how exceptions are approved.
- Request a scoped quote. Ask what is included for reviewers, document volume, integrations, onboarding and additional workspaces. Public product pages do not establish a comparable standard price for these deployments.
Language, jurisdiction and document-format performance should be tested against your own corpus. The public pages reviewed here do not support a reliable ranking for APAC-language contracts.
When another tool category is needed
Legal diligence software is only one part of a transaction stack. For company discovery, compare PitchBook and Grata; for relationship and pipeline management, see Affinity and DealCloud; for a virtual data room, see Ansarada and Datasite. Those products serve different jobs and should not be presented as direct Harvey substitutes.
Explore the sourced Harvey, Kira and Luminance profiles, or browse the full tools index. The M&A workflow software guide maps how these categories fit together.
