§ ZiadBrief
M&A advisoryEdition one · April 2026
A private reading roomno. 01

Read the deal room the way a partner would.

Retrieval chat and a documents ledger, for mid-market M&A advisory. Upload the bundle; ask the question you would ask an associate.

Working notes01
§ Most AI tooling is built for the consumer. This is a filing system that happens to answer questions.

The boutique partner does not need another chatbot. The partner needs a reliable way to read four hundred pages of SPA, disclosure schedules, and management accounts before a Thursday morning call, and to come out of it knowing which clauses warrant a second read.

Generic assistants hallucinate the locked-box date. They confuse warranty baskets. They summarise what is fashionable rather than what is material. They do not know the difference between a MAC and an ordinary-course covenant.

ZiadBrief is a closed ledger. Every filing you upload is parsed, entity-extracted, and kept on record. Every answer cites back to the page it came from. Documents stay in your tenant. They are not used to train the model vendor's systems or any third party.

§ No slides. Fifteen minutes.
On record04

What the ledger keeps.

001

Entity and relationship extraction

Parties, counterparties, shareholdings, guarantor chains. Pulled from the SPA and the schedules, reconciled against the teaser, set down once in tabular form.

002

Clause-level retrieval with citation

Every sentence the model returns names its source. Page, paragraph, and the surrounding clause, reopened in the viewer with one tap.

003

Cross-document comparison

Ask the same question across deals. Governing law across five NDAs. Material adverse change definitions across a portfolio. Results arrive as a table, not a paragraph of hedging.

004

The filing, kept

Uploads do not vanish into a thread. They sit in a ledger, numbered and timestamped, available to every partner on the mandate until the engagement closes and the room is struck.

A partner asks about consideration structure and earn-out on Project Maple; the answer cites each claim back to the clause that establishes it.
A partner asks about consideration and earn-out on Project Maple; each line of the answer is cited back to the clause that establishes it.
Fig. 01
A data room ledger with five filings, each numbered, timestamped, and labelled by document type.
Every filing that enters the room is numbered, timestamped, and kept on record until the engagement closes.
Fig. 02
Infrastructure and compliance

Two deployment modes.

Cloud default

Hosted on dedicated European infrastructure (Hetzner Falkenstein), encrypted in transit and at rest, tenant-isolated.

Self-Hosted sensitivity-tier engagements

Runs inside your environment so the data room never leaves your control. The option for engagements where document sensitivity makes any cloud handling unworkable.

No model vendor retains prompts or documents. GDPR Article 28 by design. An audit trail for document handling is available on request.

Built against the ISO 27001 control set; formal certification is on the roadmap rather than in hand.

Engagement02

Two ways to begin.

Discovery engagement

fixed scope · one to two weeks

Independent benchmark on a sample data room. Entity and relationship extraction, architecture review, written recommendation memo. Fixed scope, no commitment beyond the engagement.

Starter deployment

production-ready · two weeks

Production deployment on dedicated European infrastructure, tenant-isolated, with ingestion of your initial data rooms and a thirty-day support window. Available after a Discovery engagement confirms fit.

Each engagement is scoped to your deal load and document set during the introductory conversation.

Origin

ZiadBrief runs on EU-only infrastructure with a Self-Hosted deployment mode for engagements where the data room never leaves the customer environment. Qdrant-backed vector retrieval and a managed graph database for entity relationships. Built against ISO 27001 controls; formal certification on roadmap.

Contact · Ziad Abdalla · ziad@ziadbrief.com · LinkedIn