What We Work On

What we work on

Our focus: law and justice, AI, and the future of the professions we rely on.

Lejacie is broad enough to follow the future of public-serving professions, but we do not try to study everything at once.

Our current work is concentrated around a small number of connected questions.

Law and justice

Law after publication

A right can exist.

A reform can pass.

Guidance can be accurate.

None of that guarantees a person can use it.

We study what happens when law, policy and reform leave the page and meet real conditions.

Where does the promise hold up?

Where does it thin out?

Who has to translate it?

What gets quietly pushed onto the person it was supposed to help?

And what would make the law work differently in the room, not only on the page?

Access, handover & human usability

People rarely experience one neat profession at a time.

They move between lawyers, courts, services, agencies, health professionals, government, community organisations and technology.

We are interested in what happens between those places.

Who owns continuity?

What information moves?

What gets lost?

When does the person become the coordinator, translator or messenger for the very services meant to support them?

And what should happen when one form of help reaches its boundary and another needs to take over?

AI

AI, trust & professional judgement

AI can produce an answer.

It cannot carry the consequences.

We are interested in the practical questions that sit between enthusiasm and prohibition:

  • What should AI do?
  • What should remain human?
  • What needs verification?
  • Where does responsibility sit?
  • What happens when clients use AI before they reach a professional?
  • How should professionals explain their own AI use?
  • What happens to confidentiality, privilege and sensitive information?
  • How do junior professionals develop judgement if AI performs more of the work that once trained them?
  • Can AI help identify patterns without becoming the decision-maker about people?

We are less interested in whether AI is good or bad.

It is:

How do we use it to make professional work more accessible and sustainable without hollowing out judgement, accountability or trust?

The future of the professions we rely on

When information becomes abundant, what are professionals actually for?

We study changing roles, professional judgement, supervision, emerging career paths, workforce sustainability and the capabilities universities and workplaces will need to develop next.

We are particularly interested in the work that becomes more important when information and first drafts become easier to produce:

judgement, interpretation, trust, responsibility, explanation, navigation, implementation, ethical reasoning and knowing when an answer cannot safely be generalised.

Professional capability

Knowing the answer is not the whole professional job.

We work with questions of judgement, communication, translation, professional navigation, ethical reasoning, multidisciplinary work, implementation, uncertainty, supervision and critical AI use.

Knowing things is only part of it.

Professionals also need to be able to notice, judge, explain, decide, find their way and act.

Where the work reaches

Public-serving systems

Lejacie also works where complex expertise intersects with safety, rights, care, regulation and public responsibility.

That can include safeguarding, family violence, child safety, disability, community services, public policy, regulation and other settings where professionals must translate complex expectations into decisions, conversations, records and action.

We do not need organisations to decide which category their problem belongs to before speaking to us.

The law may be correct. That does not mean people can use it.

The open questions the lab is working on

Every observation, case, dataset and idea is attached to one of these questions until it has earned an investigation, a report or a resource.

  • Q01. Why does correct information fail to become usable help?
  • Q02. Where does responsibility sit when expertise reaches its boundary?
  • Q03. Who are public-serving systems implicitly designed for?
  • Q04. How do we know whether reform actually worked?
  • Q05. Who is benefiting from professional AI adoption?
  • Q06. What must professionals remain capable of knowing and checking?
  • Q07. What is expertise worth when information becomes abundant?
  • Q08. What capabilities does the future professional actually need?
  • Q09. Where is legal expertise being used outside traditional practice?
  • Q10. How do professions distribute opportunity, progression and authority?

Ask the lab

Submit a question to the lab.

Seen something that should work on paper but does not in real life? A rule, a form, a pathway, an AI answer, a moment where the help stopped? Tell us. Questions like yours are how the lab decides what to investigate next.