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Application exampleScenario country : Belgium

Lawyers

Find the facts. Protect time for advice.

A 12-person firm prepares matters from scattered documents and emails. Reconstructing the facts takes time before each meeting.

These cases show how we would apply our method to different professional situations. Business profiles, countries, timelines and gains are illustrative assumptions. They do not describe completed client engagements.

Illustrative audit · 4 pages · no registration

Simulated schedule
8 weeks
Support planned in the scenario
10 consulting days
Simulated net time saving
22 h / month

Assumed internal commitment : 5 person-days. Consulting days are spread across the schedule and do not mean full-time attendance. Internal days are additional. Scope and a quote must be agreed for a real engagement.

01 / Proposed audit scope

Law firm

Document preparation for recurring matters, without autonomous drafting of pleadings.

What we would examine

Sample of 20 redacted matters, timed preparation and a record of corrections.

02 / The process, department by department

DepartmentSimulated starting pointProposed processHuman approval
Professional practiceRead each document separatelySource-linked chronology for reviewResponsible lawyer
AdministrationScattered files and duplicate versionsFile classification and missing-item flagsLegal assistant
Client relationsRushed meeting preparationApproved factual brief before meetingsClient relationship lawyer

The approach to compare

Source-linked document retrieval (RAG), followed by a draft chronology from authorised documents only. Compare with well-indexed conventional search.

What stays with the professional

The lawyer checks every fact and source. Legal analysis, strategy, deadlines and client communications remain under their control.

03 / From audit to an independent team

8 weeks.
10 consulting days.

A simulated engagement timeline, with a decision and deliverable at every stage. Rollout depends on test results.

  1. Week 1 · 2 consulting days

    Observe & measure

    Sample of 20 redacted matters, timed preparation and a record of corrections.

    Proposed deliverable Process map, baseline measurement and issue register.

  2. Week 2 · 1 consulting days

    Scope & decide

    Compare simplification, existing features and AI. Define scope, access, full costs and stop criteria before building.

    Proposed deliverable Audit report, priority matrix and test protocol.

  3. Weeks 3–5 · 3 consulting days

    Prototype

    Source-linked document retrieval (RAG), followed by a draft chronology from authorised documents only. Compare with well-indexed conventional search.

    Proposed deliverable Limited prototype, test set and approval workflow.

  4. Weeks 6–7 · 2 consulting days

    Test & decide

    No unsourced facts; missing documents remain visible. A critical error requires correction and retesting.

    Proposed deliverable Comparative assessment: proceed, adjust or stop.

  5. Week 8 · 2 consulting days

    Train & hand over

    Train users on routine and exceptional cases. Appoint an owner and document the manual fallback. If testing fails, hand over findings and a correction plan.

    Proposed deliverable Usage guide, team workshop and 30-day follow-up plan.

04 / What the scenario aims to achieve

Simulated net time saving

22 h / month

Reallocate preparation time to client meetings and case analysis.

Assumed monthly volume
60 matter preparations
Baseline time per unit
50 min
Target time, including human review
25 min
Monthly monitoring and maintenance
3 h

Transparent calculation

60 × (50 − 25) ÷ 60 − 3 = 22 h / month

Volume × (baseline time − target time) ÷ 60 − monthly monitoring.

If only half the volume benefits from the process, with the same monthly monitoring: 9.5 h / month

This calculation is a simulation, not a client measurement. Target time includes corrections and review. Time released is not a demonstrated cash saving; it depends on actual volume and adoption.

Costs to compare with the benefit

Cost advice, data preparation, integration, licences, training and maintenance before committing. Price, return on investment and revenue effects must be established for each engagement.

How we would verify the result

Compare both methods on a set separate from preparation examples. Measure total time, corrections, critical errors and actual use. Keep difficult cases in the assessment; suspend if quality or confidentiality deteriorates.

Professional acceptance criterion : No unsourced facts; missing documents remain visible. A critical error requires correction and retesting.

After the pilot

During the 30 days after an approved pilot: review metrics weekly, examine exceptions and decide whether to maintain, correct or expand the scope. This follow-up period is outside the scenario schedule and consulting days.

Before a pilot, define permitted data, access and any supplier reuse. Country-specific and professional rules must be checked for the real engagement.

Background reference: CNIL, using a generative AI system.

Does this sound like your organisation?

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