Artificial Intelligence Applications in Law and Digital Justice

Move AI in law and digital justice from general awareness to a repeatable, reviewable practice.

📍 Abu Dhabi🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points

Course Overview

The constraint on AI in law and digital justice is rarely the model or the platform — it is the data and the operating discipline behind it. Most organisations now hold more data about digital justice than they can actually act on. Participants gain a realistic view of what this strand of digital and data-driven work costs and what it returns. The programme suits teams tackling AI in law and digital justice together as readily as individuals attending alone. Exercises escalate in difficulty, ending with the ambiguous situations that make this aspect of digital and data-driven work hard in practice. Participants leave with a method for digital justice, not a set of opinions about it. Ambition around AI in law and digital justice outruns capacity unless the sequencing is deliberate. Benchmarking exercises repeatedly place digital justice among the areas with the widest performance spread. Work concludes with a self-assessment of the practice within digital and data-driven work that participants can repeat annually.

Expected Learning Outcomes

01

Compare the organisation's handling of AI in law and digital justice with recognised practice, and close the material gaps.

02

Align digital justice with the wider objectives of the transformation programme rather than optimising it in isolation.

03

Agree the retirement plan for the legacy process AI in law and digital justice replaces.

04

Assess whether digital justice should be built in-house, bought, or delivered through a partner.

05

Prepare a short, evidence-based briefing on AI in law and digital justice for senior management.

06

Evaluate the bias, fairness and explainability obligations attaching to digital justice.

07

Build the internal skills to operate AI in law and digital justice without permanent vendor dependency.

Who Should Attend

01

Data and analytics leads responsible for the pipelines behind AI in law and digital justice.

02

Managers of multi-site operations seeking consistency in digital justice.

03

Staff seconded into improvement work on AI in law and digital justice.

04

Chief information officers accountable for the investment in digital justice.

05

Risk and compliance staff assessing the controls around AI in law and digital justice.

06

Operations managers whose processes are changed by digital justice.

Course Modules

01

AI in law and digital justice: cost, licensing and total running expense

2 sessions · 8 points

Session 1Reading the true cost of running AI in law and digital justice

  • Estimate compute and licensing cost for AI in law and digital justice at expected and at peak load.
  • Set out the decisions in digital justice that require sign-off and by whom.
  • Measure the current quality of the data feeding AI in law and digital justice before assuming it is usable.
  • Assign responsibility for keeping documentation of digital justice current.

Session 2Making digital justice secure without making it unusable

  • Close out actions on AI in law and digital justice rather than leaving them open indefinitely.
  • Decide which legacy process digital justice retires, and set the date.
  • Identify every system AI in law and digital justice must read from or write to.
  • Build the user briefing that explains what digital justice does and does not decide.
02

Digital justice: security, privacy and regulatory obligation

2 sessions · 8 points

Session 1Comparing digital justice with recognised practice

  • Verify that AI in law and digital justice still performs when input volume doubles unexpectedly.
  • Define acceptance criteria for digital justice in advance.
  • Agree the smallest change to AI in law and digital justice that would be visibly useful.
  • Compare the cost of digital justice with the cost of its absence.

Session 2The governance digital justice needs and the governance it does not

  • Set the metrics that will show whether AI in law and digital justice is drifting from its intended behaviour.
  • Design the pilot for digital justice so that a negative result is still useful.
  • Establish the boundary of AI in law and digital justice and record what sits outside it.
  • Confirm that contractual obligations around digital justice are understood.
03

Digital justice: vendor selection and avoiding lock-in

2 sessions · 8 points

Session 1Proving digital justice paid for itself

  • Rehearse the briefing on AI in law and digital justice that would follow an incident.
  • Test digital justice against edge cases drawn from real historical records.
  • Confirm the retention and deletion rules applied to data inside AI in law and digital justice.
  • Agree what will be standardised in digital justice and what will not.

Session 2What to measure in AI in law and digital justice and what to ignore

  • Plan the sequence in which improvements to AI in law and digital justice will be introduced.
  • Assess the regulatory obligations digital justice triggers in each jurisdiction.
  • Specify the fallback path when AI in law and digital justice is unavailable.
  • Record the reasoning behind each architectural choice in digital justice.
04

Digital justice: business case, scope and the data it depends on

2 sessions · 8 points

Session 1Testing digital justice before relying on it

  • Confirm that reporting on AI in law and digital justice reaches the people who can act.
  • Confirm that those complying with digital justice understand why it exists.
  • Identify the skills the team lacks to operate AI in law and digital justice independently.
  • Agree who is on call for digital justice outside working hours.

Session 2Choosing a supplier for digital justice without being captured

  • Check that records of AI in law and digital justice answer the questions likely to be asked.
  • Draft the minimum viable delivery roadmap for digital justice.
  • Define the service level AI in law and digital justice must meet and what happens when it is missed.
  • Set out how exceptions to digital justice are requested and approved.

Choose the package that suits you

Silver Package

At least 3 people

USD1,250
  • Workshop or Program Participation
  • Airport Transfers
  • Customized Badge
  • Expert Mentorship (Private Sessions)
  • Supervision & Secretarial Services
  • Accredited Certificate of Participation
  • Complete Training Kit
  • Coffee Break
  • Closing Ceremony

Gold Package

At least 3 people

USD1,850
  • 5-night stay in a 5-star hotel
  • Workshop or Program Participation
  • Airport Transfers
  • Customized Badge
  • Expert Mentorship (Private Sessions)
  • Supervision & Secretarial Services
  • Accredited Certificate of Participation
  • Complete Training Kit
  • Coffee Break
  • Closing Ceremony

Complete your registration

We will contact you within one business day to confirm.