Show HN: Due Diligence Agents – 13 AI agents for M&A contract analysis
Due Diligence Agents is an open-source tool designed for M&A contract analysis, utilizing AI to streamline the due diligence process. It cross-references findings across nine specialist domains and provides structured outputs to assist teams and advisors. The tool aims to reduce the time spent on due diligence while maintaining accuracy and thoroughness in contract analysis.
- ▪The tool analyzes contracts through nine domain lenses and produces interactive HTML reports.
- ▪It has achieved a 95% accuracy rate in contract analysis, significantly improving efficiency.
- ▪Due diligence shortcomings are responsible for 31% of M&A failures, highlighting the need for better tools.
2 outlets in our directory ran this story, first to last over 30 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
- ▪ Agent Behavioral Contracts — arXiv.org
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,329 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/zoharbabin/due-diligence-agents |
| Publication time | Sun, 17 May 2026 16:28:29 +0000 |
| Retrieval time | 2026-05-17T16:43:20.807Z |
| Last seen | 2026-05-17T16:43:20.807Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | JgueFofHTgzc · 2 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Due Diligence Agents Find what gets buried in the data room. Open-source integrated M&A due diligence — 9 specialist domains across every contract, cross-referenced with exact citations. demo.mp4 See a sample report — interactive HTML output from a synthetic 4-subject deal, no install required. Finds what gets buried across hundreds of contracts — cross-references it across 9 specialist domains (Legal, Finance, Commercial, ProductTech, Cybersecurity, HR, Tax, Regulatory, ESG) — and traces every finding to an exact page, section, and quote. Use the structured output alongside your advisors to build IC memos, advisor reports, negotiation checklists, or integration plans. This tool does not replace professional advisors.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.