Maat: The Agentic Legal Research Assistant for Competition Protection
Maat is a new legal research assistant designed specifically for competition law analysis. It outperforms existing general and legal research assistants by providing reliable citations and grounding findings in official sources. Developed in collaboration with competition law experts, Maat enhances the research process by addressing the limitations of current tools.
- ▪Maat is designed to assist legal experts in competition law research.
- ▪It significantly outperforms existing research assistants on case-specific tasks.
- ▪Maat provides rich in-line citations and uses web search for additional coverage.
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Record
| Original publisher | arXiv cs.AI |
| Canonical URL | https://arxiv.org/abs/2605.27331 |
| Publication time | Wed, 27 May 2026 00:00:00 -0400 |
| Retrieval time | 2026-05-27T04:07:56.398Z |
| Last seen | 2026-05-27T04:07:56.398Z |
| 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 | tIur1eXK9XWF |
| 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
Computer Science > Artificial Intelligence arXiv:2605.27331 (cs) [Submitted on 26 May 2026] Title:Maat: The Agentic Legal Research Assistant for Competition Protection Authors:Basant Mounir, Farida Madkour, Amira Abdelaziz, Asmaa Sami View a PDF of the paper titled Maat: The Agentic Legal Research Assistant for Competition Protection, by Basant Mounir and 3 other authors View PDF HTML (experimental) Abstract:Competition law experts conducting legal research must review extensive volumes of cases, decisions, and judicial reports to identify precedents and assess key elements in competition and merger cases.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv cs.AI.
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