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DMD-2026-003

AI judicial assistant

Converted to projectProject request
PRJ-2026-023
Priority score
82

Score confirmed by the evaluation panel

Estimated cost
SAR 28M
Net present value
SAR 15.6M
Internal rate of return
⁦23.4%⁩
Payback period
⁦3.3⁩ years
Rank in the 2027 plan
—
  1. Gate into «Submitted»DecisionGoDate19 January 2026DraftComplete
  2. Gate into «Initial review»DecisionGoDate18 February 2026SubmittedComplete
  3. Gate into «Feasibility»DecisionGoDate21 March 2026Initial reviewComplete
  4. Gate into «Evaluation»DecisionGoDate20 April 2026FeasibilityComplete
  5. Gate into «Committee review»DecisionGoDate21 May 2026EvaluationComplete
  6. Gate into «Approved»DecisionGoDate20 June 2026Committee reviewComplete
  7. Gate into «Prioritized»DecisionGoDate21 July 2026ApprovedComplete
  8. Gate into «Converted to project»DecisionGoDate20 August 2026PrioritizedComplete
  9. Converted to projectCurrent phaseCurrent phase

The request as filed

What the requester wrote on the intake form

Problem
Judges and their assistants spend hours reading the case file, summarising pleadings and searching the judicial codices for precedents; drafting a judgment in a recurring type of case takes two weeks.
Current state
70% of legal researchers’ time goes on summarising pleadings and searching by hand, and no tool suggests similar judgments.
Objective
An AI judicial assistant that summarises the case file, suggests precedents from the judicial codices and prepares drafts for judges and clerks — the decision stays with the judge.
Expected scope
Language models hosted inside the Board, an index of the judicial codices, integration with Mueen, and six use cases in the first release.

Expected benefits

Time & speed

A draft judgment in recurring cases in 2 days instead of 14

Productivity

60% of legal researchers’ time freed for analysis

Strategic link

The objectives it serves and how well it aligns

Strategic alignment · Excellent

Related lessons learned

From similar past projects (§78) — read them before evaluation

Data governance comes before the analytics platform

From AI Judicial Assistant

At the planning gate the Steering Committee made SDAIA classification of case and party data a condition.

Recommendation: Tie any analytics or AI request to the data-governance outputs and name the data owners before evaluation.

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