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An orchestration agent, scoped with you before it is priced. This agent coordinates several specialised agents. Its orchestration follows your actual workflows — which is why it is scoped with you rather than bought off the shelf. We establish the scope together, then the quotation commits it. The journeys described below form the scope that this review refines and the quotation commits. The specialised agents it coordinates can be ordered today. Request a quote
● Public sector — Justice

AI agents for justice: time given back to prosecutors, judges and court clerks

Faced with an under-resourced justice system — 3.2 prosecutors per 100,000 inhabitants, against a European median of 11.2 (an indicative figure, to be confirmed) — summarising files, researching case law and preparing procedural documents take up a considerable amount of time. Your AI agent absorbs this supporting work. Hosted in France — on local inference or an isolated resource — with the confidentiality of proceedings preserved. The AI agent assists, the judge decides: no judicial decision is automated.

Hosted in France Confidentiality of proceedings preserved GDPR & AI Act: governed deployment Reinforced human oversight

Updated on

Deployed in a few weeks
Justice assistant · hosted in France
On this 480-page investigation file, establish the chronology of the facts and list the documents cited, before I read it.
480 pages analysed. Chronology reconstructed of the facts, the interviews and the procedural steps, with a reference to the exhibit number of each document. 3 points flagged: one document cited but absent from the file, two interview dates inconsistent between two records.
A 2-page summary and a table of documents are ready — for you to read over.
⛓ Source · the investigation file, numbered exhibits
Is there any recent case law on the classification adopted?
Search carried out across the applicable statutes and the case law of the last five years. Three relevant rulings identified, each cited with its reference and an extract from the decisive reasoning. Caveat: one decision has since been overturned — flagged.
I am preparing a sourced research note, for your judgement.
✎ Action · note ready to read over — the judge decides
Local inference · no data outside the EU
Data hosted in France
Sovereign by designLocal inference or hosting in France
GDPR & AI Act: governed deploymentTraceability & human oversight
TurnkeyDesigned, installed and operated for you
The judge decidesThe agent assists, it never judges
✦ In brief

Within a court, a Blue Lemon Agent agent assists prosecutors, judges and clerks with supporting tasks — summarising bulky files, researching statutes and case law, preparing procedural documents and templates, managing deadlines and receiving court users. It runs on local inference or is hosted in France: the data never leaves the European Union, the confidentiality of proceedings is preserved, architecture designed to reduce exposure to extraterritorial legislation, location alone not being enough to guarantee immunity. The judicial decision remains entirely with the judge — the agent does not judge. Since the administration of justice is a high-risk use within the meaning of the AI Act, human oversight is reinforced. Live within a few weeks.

100%
hosted in France in the target architecture
0
transfer outside the EU in the target architecture
9
uses ready to deploy on this scope
0
decision taken without human approval

Reference points describing our offer, not results measured at a client. The scale of the gain is confirmed by a pilot on your own scope.

The context

Why AI matters to the courts — and why they hesitate

Delays are lengthening, files are growing, staffing stays constrained. AI can give judges and clerks back time on supporting work — but the data involved is among the most protected in law: the confidentiality of proceedings, personal data, the safety of individuals.

! The issue

The court is caught between a demand for justice that does not let up and human resources that are counted. Yet most consumer AI tools amount to entrusting case documents, criminal data and the confidentiality of proceedings to a third party, often hosted outside Europe and subject to the Cloud Act — which is quite simply out of the question for judicial data.

Our answer

AI is only of interest to a court if it is sovereign and confidential by design. Local inference or an isolated resource hosted in France, reinforced human oversight, the decision reserved for the judge: time gained on supporting tasks is never paid for in lost confidentiality. The aim is not to replace the judge, but to give them back time to think — the AI agent assists, the public official decides.

The decisive point

Confidentiality of proceedings and judicial data: sovereignty & compliance

A court handles the most protected data in law. Here is how the architecture of our agents preserves it, file by file.

Local inference

The agent can run on a machine at the court: no case document leaves the network, nothing passes through a cloud.

Hosting in France

Otherwise, a dedicated and isolated resource, hosted in France under French law — the data: processing and access within the European Union targeted by the architecture.

Reduced extraterritorial exposure

Architecture designed to reduce exposure to extraterritorial legislation, location alone not being enough to guarantee immunity for case documents: our architecture depends on a subcontracting chain and remote access documented for the configuration chosen.

A resource isolated per court

No pooling of data: a strictly dedicated, partitioned environment, with access recorded.

Encryption & controlled access

Encryption in transit and at rest, role-based access (RBAC), strong authentication and logging.

AI Act: governed deployment

The administration of justice is a high-risk use: reinforced human oversight, transparency and traceability from end to end.

What depends on the architecture chosen These points are not general guarantees: they are settled deployment by deployment, in the quotation.

  • The applicable location is that of the architecture set out in the quotation and verified before commissioning.
  • Local execution is announced only for the configuration explicitly described and accepted in the quotation.
  • The applicable isolation depends on the deployment mode set out in the quotation; no dedicated isolation is presumed.
  • The encryption mechanisms in transit and at rest, their components and key management are those documented for the architecture chosen.
  • Roles and permissions are configured and accepted for the identities and systems actually connected.
  • The events logged, their content, their retention period and who may access them are defined for the deployment chosen.
For the most sensitive data, SecNumCloud and HDS options are available depending on your requirements. A single architecture is designed to answer both the GDPR and extraterritorial exposure. Designed for deployment in line with the GDPR and the AI Act, after the processing, roles and context-specific risks have been assessed.
Demonstration

See the agent at work

5 real situations, taken from those that come up most often. Pick one: the exchange unfolds as it would in your organisation.

A scripted demonstration. These exchanges show how the agent behaves — its sources, its refusals, what it leaves to your teams. Nothing is sent from this page, no model is queried here, and the matters named are fictional. That is precisely what we promise your data.
The behaviours shown here — monitoring, automation rules, routing and reminders — are configured with you during deployment, from your tools, your rules and your thresholds.
The architecture points named in these exchanges — location, local execution, isolation, encryption, role-based access, logging — are not a guarantee attached to the demonstration: they are those of the architecture set out in your quotation, and verified before commissioning.

The public body in this demonstration

Fictional public body

Bréval-sur-Loing Court of First Instance — court of medium jurisdiction

Sector
Judicial court — civil division, criminal division, two investigating chambers, single reception desk for court users open 30 hours a week
Headcount
44 staff — 13 sitting judges, 4 prosecuting magistrates, 18 court clerks and 9 administrative officers at the reception desk; the agent serves the 35 judges and clerks
Public served
210,000 residents in the court's area — 6,400 new civil cases and 2,100 new criminal cases a year, 11,800 enquiries received at the reception desk
Order of magnitude
47 investigation files under way, 480 pages on average for a large file, 38 hearings a month, 14 cases per hearing list, 1,240 procedural deadlines tracked
Tools in place
Judicial service applications, document management system, the court's reference library, hearing-room diaries — the agent plugs into them read-only, nothing is replaced and nothing is migrated
Who decides
The judge decides and gives reasons; the clerk authenticates the document; the head of registry sets how the service is organised; the presiding judge sets the hearing list
Room for improvement
Summarising a large file takes 5 hours of support work; 3 cited exhibits are missing per investigation file on average; 1,900 of the 11,800 reception-desk enquiries get no answer the same day; and 26 of the 1,240 procedural deadlines were checked less than 48 hours before they ran out

In Bréval-sur-Loing, demand for justice does not let up and staffing is tight: the support work — reading, matching, retrieving, formatting — eats into the time for analysis and hearings. The data involved is among the most protected in law: procedural exhibits, parties' identities, secrecy of the investigation. The agent runs on-premises on one of the court's machines, reads files without ever writing to them, and sends nothing out without validation by a judge or a clerk. The exchanges below cover one year, from the review of the investigation files to the review presented to the management committee.

This public body, its figures and the exchanges that follow were invented for the demonstration. They illustrate a common situation; they describe no real service.

Justice assistant · hosted in France
I reread your 47 investigation files under way this weekend — 22,400 pages, 6,180 numbered exhibits — and I have drawn out a finding your files were carrying without anyone having the time to see it.
The gap measured, and it decides everything else: 141 exhibits are cited in a document in the file yet are absent from the file itself3 per file on average, and 11 files carry 5 or more. These are not lost exhibits: they are exhibits announced in a police record, a report or an interview, and never matched to their exhibit numberthe exhibit number is the order in which a document is filed; it is how it is retrieved and cited.
What that costs today, across the three items you can check yourselves:
· Summarising a large file: 5 hours of support work — that is the unit of measurement for everything that follows, and I take it as 100 %.
· A case-law search on one point: 33 % of that scale, or 1 hour 40 minutes.
· Answering a court user who asks where their case stands: 10 %, or 30 minutes between the search in the application, the call back and the note to the file.
What I am proposing, and it is not a promise — it is already done: the 141 missing exhibits are listed file by file, with the document that cites them, the page and line where they are announced, and the body holding them according to the file itself. 117 of the 141 are held by an identified third party — investigating service, expert, bailiff, health establishment — and the 117 requests for production are written, on your templates, ready to go out with the registry's signature.
What that changes for the parties, and it is the measure that counts: an exhibit requested today comes back within eight days on average; an exhibit found missing at the hearing costs an adjournment. Last year, 9 hearings were adjourned in this court for that reason alone.
The next step, and it takes twenty minutes: the investigating chamber reviews the 11 files carrying 5 or more missing exhibits, and the requests go out the same day. I have sorted them by nearest hearing datethat is the order in which they win the most procedural days. cited-and-missing-exhibits_141-across-47-files.pdf141 exhibits, 117 production requests already written
⛓ Sourced · 47 investigation files, 6,180 numbered exhibits, documents and records citing the exhibits
Take the 480-page file listed before the investigating chamber next month. I have to read it this weekend.
It is mapped: chronology rebuilt, table of numbered exhibits, and 3 points that call for your eye — you read to decide, no longer to retrieve.
What I am handing over, and where it comes from:
· The chronology of the facts, the interviews and the procedural steps, each line pointing to the exhibit number and page that establishes it. 314 dated events, and the 26 that rest on a single exhibit are flagged as such — that is exactly where the argument will be.
· The table of exhibits: 128 numbers, nature, date, author, and the document that first cites it.
· A two-page summary, in the form your chamber already uses.
The 3 points I flag without being asked:
· An exhibit cited as number 47 in a police record is absent from the file. The body holding it is named in the record itself, and the request for production is written.
· Two interview dates conflict between two recordsthe 14th and the 15th of the same month for the same person. I give you both pages side by side; one of the two carries a handwritten correction, and I tell you which.
· One exhibit is dated after the document that refers to it. I give it to you with its date and the date of the document, and nothing more: the significance of that gap is a matter of assessment, and the assessment is yours.
The time this moves: summarising a large file goes from 100 % to 12 % — from 5 hours to 36 minutes, and those 36 minutes are your reading, not the rebuilding. Across the 120 large files the court summarises each year, that is 528 hours going back to analysis and hearings.
The next step I propose: that every file over 200 pages arrives mapped as soon as it is registered, without anyone having to ask. Over the past year, 120 files were concernedand the 3 points I have just shown you would have been flagged 31 days before the hearing on average, instead of the weekend before it. 480-page-file_chronology-and-exhibit-table.pdf314 dated events, 128 exhibit numbers, 3 points flagged
⛓ Sourced · 480-page investigation file, 128 numbered exhibits, interview records
All of this assumes you read procedural exhibits covered by the secrecy of the investigation. Where do they go?
They go nowhere. I run on-premises on one of the court's machines, and nothing I read leaves its network.
On-premises inference means the model computes on your machine: the text of a police record or an expert report crosses no external network to be processed. If the court would rather not host a machine, the other route is an isolated resource hosted in France, dedicated to Bréval-sur-Loingno pooling with another court, which is the condition for the continuity of your service.
What that changes, point by point:
· Procedural exhibits train no model, neither ours nor a third party's.
· I work read-only, and the technical account I read through has no right to write to your applicationsthat is stronger than a promise, because it can be checked with one command.
· Encryption in transit and at rest, role-based accessrights follow the role: an investigation file can be opened only by the chamber seised of it and its registry. 9 roles for your 44 staff, and the log shows 0 out-of-role access since go-live.
· Hosting in France, under French law, architecture designed to reduce exposure to extraterritorial legislation, location alone not being enough to guarantee immunity.
· Logging: who asked for what, when, and what I produced. That is proof the court had on none of its tools.
What the law reserves for a person, and it is what gives your acts their value: the judicial decision belongs to the judge and the authentication of the document to the clerk. Everything leading up to it I have already done: the file arrives complete, the chronology rebuilt, the exhibits matched to their number and the sources citedand the decision stays reasoned, traceable and open to challenge, which is exactly what a court user is entitled to expect.
The figure that sums all this up: 0 procedural exhibits left the court's network across the 22,400 pages reread, and processing in the EU targeted.
What I propose: that I keep up to date the file your data protection officer and your internal control authority will ask for — architecture, data processed, retention periods, who accesses what. It is asked for once a year and takes three days to rebuild; the first version is written and attached. technical-framework_where-procedural-exhibits-live.pdfOn-premises, read-only, processing in the EU targeted
✎ Framework · deployment architecture, technical account rights, role-based access log
Local inference · no data outside the EU

Your case is not here? That is exactly what a 15-minute conversation is for. Book the free audit

Use cases

The uses of AI in a court

Each use corresponds to an agent we deploy. All work in support, under the oversight of the judge or the clerk.

Included in your agent The 7 capabilities essential to this promise are included, at no extra cost.

Summarising files

Reading bulky files, chronology of the facts and a table of the documents cited — for the judge to approve.

Preparing documents & templates

Drafting first versions of procedural documents, summonses and templates from your models, to be approved.

Managing deadlines & hearings

Tracking procedural deadlines and scheduling summonses and appointments at the registry.

Receiving court users

First-line information: the state of a case, the documents to provide, the steps to take — sourced answers.

Notes & minutes

Records of decisions and minutes of hearings or meetings, structured and faithful to what was said.

Plain language & easy-read draft

Preparation of a plain-language version and of a draft easy-read (FALC) transcription, submitted for human validation. Translation and voice output are not part of this offer’s core: they are handled by the Accessibility and inclusion agent.

Coordination of the court's sub-agents

Summaries, research, monitoring, documents, deadlines and reception are shared out between dedicated sub-agents, then brought together into a single file. The judge and the registrar keep the arbitration and the decision.

Controls and safeguards These 6 controls are built into the agent: they frame what it does, whatever plan you pick. They are not chosen and are not added to your order.
Human arbitration of conflicts and irreversible decisions Observability of costs, timescales, quality, failures and safe stop Work from a versioned corpus with citations and the law as it stood on a given date Preserve confidentiality, compartmentalisation and access logging Manage deadlines, versions, evidence and human validation Flag uncertainties and reserve advice, decision and signature for the lawyer
What the agent must be connected to These 2 connections are required for the agent to work. They concern your information system and are scoped during the audit.
Register of authorised agents and interface contracts Connect an authorised legal database: corpus and licences supplied by the client, access rights, update frequency, date of the law consulted, traceable citation of sources and responsibility for validation. Third-party subscription borne by the client, excluded from the price until it is known.

Need to go further?

These agents handle a different business process, with their own owner and their own price. They are added to this one.

Does your need fall outside this?

In 15 minutes we identify the agent that will give your staff the most time back — without oversizing the project.

Book the free audit Build your agent
The gain

How much time can a court recover?

By automating the summarising of files and documentary research, a court can aim for an appreciable reduction in time spent on supporting tasks — reinvested in analysis, the hearing and the decision, which remain the judge's office.

Summarising a bulky file
Today · done by hand
Prepared by the agent, to approve
Case-law research on a point
Today · done by hand
Prepared by the agent, to approve
A reply to a court user on the state of a case
Today · done by hand
Automatic
Qualitative, non-contractual comparison: the proportions shown illustrate the shift of the work towards review, they represent no measurement. Every output of the agent is reviewed and approved by a competent person.
How it works

The stages of your AI agent project

1

Audit & scoping

15 minutes to target the use case with the best return.

2

Quote or direct sign-up

A catalogue offer is bought online; a specific need gets a costed quote.

3

Design

We design the agent and its guardrails.

4

Integration & testing

We connect your tools to the agent, which is itself hosted in France.

5

Rollout

Going live and training your team.

6

Operation

Continuous supervision and improvement.

Pricing

A business agent for justice

A supporting agent (summarising, research, preparing documents), installed and operated for your court. Rates suited to the public sector — for as long as it takes for the gains to settle in.

This agent is priced with you, not online. We are adjusting its scope at the moment, and online subscription stays closed while we do. Tell us what you need: we will come back to you with a price. Request a quote
Our commitment

Four guarantees that matter to a court

Case documents never leave the courtLocal inference or an isolated resource hosted in France; the confidentiality of proceedings is preserved.
Data in France, under French lawAs regards case documents: hosting in France under French law, architecture designed to reduce exposure to extraterritorial legislation, location alone not being enough to guarantee immunity.
The judge keeps the decisionThe agent produces summaries, research and templates that can be checked; no judicial decision is automated.
Reinforced human oversight & traceabilityA high-risk use within the meaning of the AI Act: monitoring, logging and transparency from end to end.
Frequently asked questions

Your questions, our answers

Does the agent hand down court decisions?
No, never. It assists (summarising, research, formatting); the direction of a case, the submissions and the decision remain with the judge. No judicial decision is automated. The AI agent assists, the public official decides.
Is this compatible with the AI Act?
The administration of justice is a high-risk use within the meaning of the AI Act: reinforced human oversight, traceability and transparency. The agent stays strictly in support, without ever standing in for the judge.
Is the confidentiality of proceedings preserved?
Yes: sovereign hosting in France, an isolated resource, access recorded; the data does not leave the European Union and stays covered by an architecture designed to reduce exposure to extraterritorial legislation, location alone not being enough to guarantee immunity.
How can I be sure a case-law search is reliable?
Every answer is sourced: the agent cites the statutes and rulings it draws on, with their reference and an extract from the reasoning, and flags any caveats (a reversal, an isolated decision). The judge keeps the judgement and checks the sources.
Do we have to change our case-management software?
No. The agent connects to your existing tools (case-management applications, document management, documentary databases) and complements them, without forcing a migration. We adapt the integration to your environment.
How long does it take to deploy an agent?
A few weeks as a rule, after a free audit that identifies the most valuable use, then a phase of design, integration and testing before going live and training the public officials.
Let's talk

Let's size up the potential in your court

15 minutes to identify the most useful use case — hosted in France, supervised, with no commitment.