What firms usually want to know before using Majlis.

Document Intelligence helps Majlis understand the documents inside a matter. It can classify documents, extract and connect relevant facts, identify missing information and keep that context attached to the matter, so lawyers do not have to repeatedly upload files and re-explain them to an AI chat.

Compliance Intelligence surfaces the checks, obligations and outstanding requirements relevant to a matter, including conflicts, KYC/AML, jurisdictional requirements and matter-specific controls. Majlis can identify and flag what needs attention, while regulated legal and compliance decisions remain with the lawyer or authorised reviewer.

Yes. Majlis is designed so AI proposals can remain connected to the workspace, documents, facts and evidence they relied upon. Material decisions and actions are also attributable, creating a record of what happened, who decided and how the matter reached its current state.

Majlis does not treat fewer recorded hours as the measure of value. Saving time only creates value if the firm knows what that efficiency becomes, so Majlis is built to turn it into an economic outcome: less administrative drag, more matter capacity, legitimate revenue captured rather than written off, better-informed pricing, stronger realisation, improved matter margins, and lawyer time directed at higher-value legal work.

Every efficiency gain needs an economic destination.

No. Majlis is not intended to become the firm's accounting ledger. It connects matter economics to the legal work taking place and is intended to work with appropriate billing and financial systems where needed.

No. Majlis is designed around things lawyers already understand: clients, matters, documents, deadlines, reviews and decisions. Lawyers should not need to understand models, prompting or AI configuration to use it.

No. Majlis is being designed to work with systems firms already rely on rather than requiring every tool to be replaced. Integrations are being developed and validated as the MVP progresses, and specific integrations are only claimed once production-ready.

Majlis is being designed to be model-agnostic. AI providers can evolve over time; Majlis remains the layer that holds the matter context, evidence, permissions, decisions and operational history.

Majlis is initially focused on independent commercial and specialist law firms with multiple fee earners, meaningful matter complexity and growing AI use. The important factor is operational complexity rather than a fixed number of lawyers.

Majlis is being designed around firm and matter boundaries, role-based permissions, source-backed AI activity and auditable decisions, so confidentiality and access are part of the matter architecture rather than an afterthought. Hosting, retention, data location, integrations and model access depend on the validated deployment configuration, and are agreed per firm rather than fixed here.

No. Majlis is designed to connect matter work, controls and intelligence while integrating with the systems a firm already uses.

No. The UAE and GCC are Majlis's initial market, but the platform is being designed for multilingual, multi-jurisdiction and cross-border legal work. The ambition is to build from the complexity of this region outward.

Arabic is part of Majlis's intended multilingual direction alongside English. Majlis is being designed for legal environments where both languages may exist within the same matter, ahead of full validation of production Arabic capability.

Majlis is currently in active MVP development. Core parts of the platform are being built and tested, with the next stage focused on structured evaluation with legal practitioners and design partners.

We are currently speaking with law firms and legal practitioners interested in becoming early design partners. Design partners will help test Majlis against real workflows and shape the product before broader deployment.

Pricing has not yet been fixed. We are validating packaging and willingness to pay with early design partners before setting a public pricing model, so pricing reflects the operational and economic value Majlis creates for firms.