Legal Analysis: full language follow-through (UI + LLM)

The tool now respects the chosen UI language end-to-end — even if the
source document is Norwegian, a user on EN/UK/PL gets the analysis in
their language. Norwegian statute references (barnevernsloven § 4-25,
EMK Art. 8) and case names (Strand Lobben mot Norge 37283/13) are kept
verbatim because they are proper nouns.

LLM (LegalAnalysisAgent.php):
- extractIssues: prompt asks for question + brief_context in user's
  language; statute refs preserved
- answerIssue: Norwegian core system prompt (keeps fine-tune precision)
  + language-coercion line for non-NO; localised context/source labels
- synthesise: overall_assessment, next_steps, disclaimer in user's
  language; explicit per-language disclaimer text
- runFullAnalysis empty-case fallback also localised
- what_to_check translated per language

UI:
- 40 new la_* translation keys in i18n.php × 4 languages (NO/EN/UK/PL)
- legal-analysis.php: 4-way lang switcher, dbnToolsT() for every label,
  emits window.DBN_LA_I18N for runtime JS strings
- legal-analysis.js: t() helper reads from window.DBN_LA_I18N
- layout_footer.php: emits window.DBN_CURRENT_LANG +
  window.DBN_ADDON_I18N so the legal-analysis add-on button works in
  the page's language no matter which tool it's invoked from
- tools.js add-on: reads from DBN_ADDON_I18N, passes DBN_CURRENT_LANG
  to /api/legal-analysis.php so server responds in same language

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
2026-05-24 08:43:15 +02:00
parent 2509a596c1
commit 21c092e0d0
6 changed files with 397 additions and 89 deletions
+45 -35
View File
@@ -4,10 +4,25 @@
* Two-pass flow: extract distinct legal issues (Azure) → answer each issue
* with dbn-legal-agent-v3 fine-tune on ocelot → synthesise overall assessment.
* Streams NDJSON so the UI fills in as each issue completes.
*
* UI strings come from window.DBN_LA_I18N (populated server-side from
* dbnToolsT('la_*')), so the same JS works in EN/NO/UK/PL.
*/
(function () {
'use strict';
// ── i18n helper ───────────────────────────────────────────────────────────
var I18N = window.DBN_LA_I18N || {};
function t(key, vars) {
var s = (I18N && I18N[key]) || key;
if (vars) {
Object.keys(vars).forEach(function (k) {
s = s.split('{' + k + '}').join(String(vars[k]));
});
}
return s;
}
// ── Element refs ──────────────────────────────────────────────────────────
var form = document.getElementById('laForm');
var runBtn = document.getElementById('laRunButton');
@@ -24,21 +39,23 @@
// ── State ─────────────────────────────────────────────────────────────────
var _extractedFiles = [];
var _currentLang = 'no';
var _currentLang = window.DBN_LA_LANG || 'no';
var _lastPayload = null;
var _issueCards = {}; // id -> DOM element
var _issueCards = {};
// ── Lang switcher ─────────────────────────────────────────────────────────
document.querySelectorAll('.la-lang-btn').forEach(function (btn) {
btn.addEventListener('click', function () {
document.querySelectorAll('.la-lang-btn').forEach(function (b) {
b.classList.toggle('is-active', b === btn);
});
_currentLang = btn.dataset.lang || 'no';
// Switching UI language requires a page reload so all labels rerender.
var lang = btn.dataset.lang || 'no';
if (lang === _currentLang) return;
var url = new URL(window.location.href);
url.searchParams.set('lang', lang);
window.location.href = url.toString();
});
});
// ── File upload (same pattern as summarize) ───────────────────────────────
// ── File upload ───────────────────────────────────────────────────────────
if (uploadZone) {
uploadZone.addEventListener('dragover', function (e) {
e.preventDefault();
@@ -68,7 +85,6 @@
uploadZone.addEventListener('click', function (e) {
if (e.target === uploadClear || (uploadClear && uploadClear.contains(e.target))) return;
if (e.target === uploadInput) return;
// Any label or descendant of a label-for=uploadInput already triggered the input
var lbl = e.target.closest && e.target.closest('label');
if (lbl && lbl.getAttribute('for') === uploadInput.id) return;
if (uploadInput) uploadInput.click();
@@ -98,7 +114,7 @@
var files = Array.from(fileList).slice(0, 5);
if (!files.length) return;
setStatus('Extracting text from ' + files.length + ' file(s)…');
setStatus(t('extractingFiles', { n: files.length }));
setBusy(true);
var promises = files.map(function (file) {
@@ -120,7 +136,7 @@
setBusy(false);
})
.catch(function (err) {
setStatus('Error: ' + err.message);
setStatus(t('errorPrefix') + ' ' + err.message);
setBusy(false);
});
}
@@ -153,7 +169,7 @@
var docIds = rawDocIds ? rawDocIds.split(',').map(Number).filter(Boolean) : [];
if (!combined && !docIds.length) {
setStatus('Paste text, upload a file, or select a document before running.');
setStatus(t('needInput'));
return;
}
@@ -169,7 +185,7 @@
_issueCards = {};
setBusy(true);
setStatus('Running…');
setStatus(t('runButtonBusy'));
renderInitial();
try {
@@ -181,7 +197,7 @@
});
if (!resp.ok || !resp.body) {
throw new Error('Server returned ' + resp.status);
throw new Error(t('serverReturned') + ' ' + resp.status);
}
var reader = resp.body.getReader();
@@ -244,7 +260,7 @@
if (!resultsEl) return;
resultsEl.innerHTML =
'<div class="la-pipeline">'
+ '<div class="la-step running"><strong>Pass 1</strong> — Extracting legal issues from your document…</div>'
+ '<div class="la-step running"><strong>' + esc(t('pass1')) + '</strong> — ' + esc(t('pass1Extracting')) + '</div>'
+ '</div>'
+ '<ol id="laIssueList" class="la-issues"></ol>';
}
@@ -267,15 +283,14 @@
+ '</div>'
+ '<h4 class="la-issue__q">' + esc(issue.question) + '</h4>'
+ (issue.brief_context ? '<p class="la-issue__ctx"><em>' + esc(issue.brief_context) + '</em></p>' : '')
+ '<div class="la-issue__status">Waiting…</div>';
+ '<div class="la-issue__status">' + esc(t('waiting')) + '</div>';
list.appendChild(li);
_issueCards[issue.id] = li;
});
// Mark Pass 1 complete
var pipeline = resultsEl.querySelector('.la-pipeline');
if (pipeline) {
pipeline.innerHTML = '<div class="la-step done"><strong>Pass 1</strong> — Found ' + issues.length + ' legal issue(s)</div>'
+ '<div class="la-step running"><strong>Pass 2</strong> — Asking dbn-legal-agent-v3 about each issue…</div>';
pipeline.innerHTML = '<div class="la-step done"><strong>' + esc(t('pass1')) + '</strong> — ' + esc(t('pass1Found', { n: issues.length })) + '</div>'
+ '<div class="la-step running"><strong>' + esc(t('pass2')) + '</strong> — ' + esc(t('pass2Asking')) + '</div>';
}
}
@@ -285,10 +300,10 @@
var status = card.querySelector('.la-issue__status');
if (!status) return;
if (step === 'issue_searching_corpus') {
status.textContent = 'Searching legal corpus';
status.textContent = t('searchingCorpus');
card.classList.add('running');
} else if (step === 'issue_answering') {
status.textContent = 'Asking dbn-legal-agent-v3…';
status.textContent = t('askingFinetune');
}
}
@@ -299,7 +314,6 @@
card.classList.remove('pending', 'running');
card.classList.add('answered');
// Refresh severity from real answer
var sevEl = card.querySelector('.la-severity');
if (sevEl) {
sevEl.className = 'la-severity la-severity-' + esc(issue.severity || 'medium');
@@ -309,13 +323,13 @@
var statusBlock = card.querySelector('.la-issue__status');
if (statusBlock) statusBlock.remove();
var answerHtml = '<div class="la-issue__answer"><h5>Svar</h5><p>'
var answerHtml = '<div class="la-issue__answer"><h5>' + esc(t('answerHeader')) + '</h5><p>'
+ esc(issue.answer || '').replace(/\n/g, '<br>')
+ '</p></div>';
var basisHtml = '';
if (issue.legal_basis) {
basisHtml = '<div class="la-issue__basis"><strong>Lovgrunnlag:</strong> '
basisHtml = '<div class="la-issue__basis"><strong>' + esc(t('legalBasis')) + '</strong> '
+ esc(issue.legal_basis) + '</div>';
}
var checkHtml = '';
@@ -326,14 +340,13 @@
}
function renderFinal(result) {
// Add Pass 3 synthesis at the top
var topHtml = '';
if (result.overall_assessment) {
topHtml = '<section class="la-synthesis result-section">'
+ '<h3>Overall assessment</h3>'
+ '<h3>' + esc(t('overall')) + '</h3>'
+ '<p>' + esc(result.overall_assessment) + '</p>';
if (Array.isArray(result.next_steps) && result.next_steps.length) {
topHtml += '<h4>Next steps</h4><ul>'
topHtml += '<h4>' + esc(t('nextSteps')) + '</h4><ul>'
+ result.next_steps.map(function (s) { return '<li>' + esc(s) + '</li>'; }).join('')
+ '</ul>';
}
@@ -343,32 +356,29 @@
topHtml += '</section>';
}
// Mark Pass 2/3 complete in the pipeline strip
var pipeline = resultsEl.querySelector('.la-pipeline');
if (pipeline) {
pipeline.innerHTML =
'<div class="la-step done"><strong>Pass 1</strong> — Issues extracted</div>'
+ '<div class="la-step done"><strong>Pass 2</strong> — Specialist answered ' + (result.issues || []).length + ' issue(s)</div>'
+ '<div class="la-step done"><strong>Pass 3</strong> — Synthesis complete</div>';
'<div class="la-step done"><strong>' + esc(t('pass1')) + '</strong> — ' + esc(t('pass1Found', { n: (result.issues || []).length })) + '</div>'
+ '<div class="la-step done"><strong>' + esc(t('pass2')) + '</strong> — ' + esc(t('pass2Answered', { n: (result.issues || []).length })) + '</div>'
+ '<div class="la-step done"><strong>' + esc(t('pass3')) + '</strong> — ' + esc(t('pass3Synthesis')) + '</div>';
}
// Insert synthesis at top of resultsEl, after pipeline
if (topHtml && pipeline) {
pipeline.insertAdjacentHTML('afterend', topHtml);
} else if (topHtml) {
resultsEl.insertAdjacentHTML('afterbegin', topHtml);
}
// If issues weren't already rendered (e.g. empty result), put the message in
if ((!result.issues || !result.issues.length) && resultsEl.querySelector('#laIssueList')) {
resultsEl.querySelector('#laIssueList').innerHTML =
'<li class="la-issue answered"><p><em>No discrete legal issues were identified.</em></p></li>';
'<li class="la-issue answered"><p><em>' + esc(t('emptyIssues')) + '</em></p></li>';
}
}
function showError(msg) {
if (resultsEl) {
resultsEl.innerHTML = '<div class="empty-state"><h3>Error</h3><p>' + esc(msg) + '</p></div>';
resultsEl.innerHTML = '<div class="empty-state"><h3>' + esc(t('errorPrefix')) + '</h3><p>' + esc(msg) + '</p></div>';
}
setStatus('');
}
@@ -376,7 +386,7 @@
// ── Helpers ───────────────────────────────────────────────────────────────
function setBusy(on) {
if (runBtn) runBtn.disabled = on;
if (runBtn) runBtn.textContent = on ? 'Running…' : 'Run legal analysis';
if (runBtn) runBtn.textContent = on ? t('runButtonBusy') : t('runButton');
}
function setStatus(msg) {
if (statusEl) statusEl.textContent = msg;
+29 -22
View File
@@ -2579,6 +2579,14 @@ window.dbnShowSaveResultButton = showSaveResultButton;
// Injects a button that, when clicked, streams the two-pass legal-analysis flow
// (extract issues → ask dbn-legal-agent-v3 → synthesise) into a sub-section
// below the host container.
function _laT(key, vars) {
const map = window.DBN_ADDON_I18N || {};
let s = map[key] || key;
if (vars) {
Object.keys(vars).forEach((k) => { s = s.split('{' + k + '}').join(String(vars[k])); });
}
return s;
}
function dbnRunLegalAnalysisAddon(text, lang, sourceTool, containerEl) {
if (!containerEl) containerEl = document.getElementById('results');
if (!containerEl || !text || text.length < 80) return;
@@ -2595,9 +2603,9 @@ function dbnRunLegalAnalysisAddon(text, lang, sourceTool, containerEl) {
section.style.borderRadius = '8px';
section.style.background = '#f0fdfa';
section.innerHTML =
'<h3 style="margin-top:0;color:#0e7490;">⚖️🇳🇴 Deep Legal Analysis</h3>'
'<h3 style="margin-top:0;color:#0e7490;">⚖️🇳🇴 ' + escapeHtml(_laT('addonSection')) + '</h3>'
+ '<div class="la-pipeline" style="margin-bottom:1rem;">'
+ '<div class="la-step running"><strong>Pass 1</strong> — Extracting legal issues…</div>'
+ '<div class="la-step running"><strong>' + escapeHtml(_laT('pass1')) + '</strong> — ' + escapeHtml(_laT('pass1Extracting')) + '</div>'
+ '</div>'
+ '<ol id="laAddonIssues" class="la-issues" style="list-style:none;padding:0;margin:0;display:flex;flex-direction:column;gap:1rem;"></ol>';
containerEl.parentNode.appendChild(section);
@@ -2608,7 +2616,7 @@ function dbnRunLegalAnalysisAddon(text, lang, sourceTool, containerEl) {
const payload = {
text: text,
language: lang || 'no',
language: lang || window.DBN_CURRENT_LANG || 'no',
doc_type: 'auto',
source_tool: sourceTool || 'addon',
};
@@ -2638,7 +2646,7 @@ function dbnRunLegalAnalysisAddon(text, lang, sourceTool, containerEl) {
}
}
}).catch(function (err) {
section.innerHTML += '<p style="color:#b91c1c;margin-top:0.5rem;">Error: ' + escapeHtml(err.message || String(err)) + '</p>';
section.innerHTML += '<p style="color:#b91c1c;margin-top:0.5rem;">' + escapeHtml(_laT('errorPrefix')) + ' ' + escapeHtml(err.message || String(err)) + '</p>';
});
}
@@ -2655,21 +2663,21 @@ function laAddonEvent(data, listEl, pipelineEl, cards) {
+ '<span class="la-severity la-severity-' + escapeHtml(sev) + '">' + escapeHtml(sev.toUpperCase()) + '</span></div>'
+ '<h4 class="la-issue__q">' + escapeHtml(issue.question || '') + '</h4>'
+ (issue.brief_context ? '<p class="la-issue__ctx"><em>' + escapeHtml(issue.brief_context) + '</em></p>' : '')
+ '<div class="la-issue__status">Waiting…</div>';
+ '<div class="la-issue__status">' + escapeHtml(_laT('waiting')) + '</div>';
listEl.appendChild(li);
cards[issue.id] = li;
});
pipelineEl.innerHTML =
'<div class="la-step done"><strong>Pass 1</strong> — Found ' + (data.issues || []).length + ' issue(s)</div>'
+ '<div class="la-step running"><strong>Pass 2</strong> — Asking dbn-legal-agent-v3…</div>';
'<div class="la-step done"><strong>' + escapeHtml(_laT('pass1')) + '</strong> — ' + escapeHtml(_laT('pass1Found', { n: (data.issues || []).length })) + '</div>'
+ '<div class="la-step running"><strong>' + escapeHtml(_laT('pass2')) + '</strong> — ' + escapeHtml(_laT('pass2Asking')) + '</div>';
} else if (data.event === 'progress') {
const card = cards[data.issue_id];
if (card) {
const status = card.querySelector('.la-issue__status');
if (status) {
status.textContent = data.step === 'issue_searching_corpus'
? 'Searching legal corpus'
: 'Asking dbn-legal-agent-v3…';
? _laT('searchingCorpus')
: _laT('askingFinetune');
}
card.classList.add('running');
}
@@ -2687,22 +2695,22 @@ function laAddonEvent(data, listEl, pipelineEl, cards) {
}
const statusEl = card.querySelector('.la-issue__status');
if (statusEl) statusEl.remove();
let html = '<div class="la-issue__answer"><h5>Svar</h5><p>' + escapeHtml(iss.answer || '').replace(/\n/g, '<br>') + '</p></div>';
if (iss.legal_basis) html += '<div class="la-issue__basis"><strong>Lovgrunnlag:</strong> ' + escapeHtml(iss.legal_basis) + '</div>';
let html = '<div class="la-issue__answer"><h5>' + escapeHtml(_laT('answerHeader')) + '</h5><p>' + escapeHtml(iss.answer || '').replace(/\n/g, '<br>') + '</p></div>';
if (iss.legal_basis) html += '<div class="la-issue__basis"><strong>' + escapeHtml(_laT('legalBasis')) + '</strong> ' + escapeHtml(iss.legal_basis) + '</div>';
if (iss.what_to_check) html += '<p class="la-issue__check"><em>' + escapeHtml(iss.what_to_check) + '</em></p>';
card.insertAdjacentHTML('beforeend', html);
} else if (data.event === 'final' && data.result) {
const res = data.result;
pipelineEl.innerHTML =
'<div class="la-step done"><strong>Pass 1</strong> — Issues extracted</div>'
+ '<div class="la-step done"><strong>Pass 2</strong> — Specialist answered ' + (res.issues || []).length + '</div>'
+ '<div class="la-step done"><strong>Pass 3</strong> — Synthesis complete</div>';
'<div class="la-step done"><strong>' + escapeHtml(_laT('pass1')) + '</strong> — ' + escapeHtml(_laT('pass1Found', { n: (res.issues || []).length })) + '</div>'
+ '<div class="la-step done"><strong>' + escapeHtml(_laT('pass2')) + '</strong> — ' + escapeHtml(_laT('pass2Answered', { n: (res.issues || []).length })) + '</div>'
+ '<div class="la-step done"><strong>' + escapeHtml(_laT('pass3')) + '</strong> — ' + escapeHtml(_laT('pass3Synthesis')) + '</div>';
if (res.overall_assessment) {
let syn = '<section class="la-synthesis" style="margin-bottom:1rem;padding:0.85rem 1.1rem;border-left:4px solid #0f766e;background:#ecfeff;border-radius:6px;">'
+ '<h3 style="margin-top:0;color:#0e7490;">Overall assessment</h3>'
+ '<h3 style="margin-top:0;color:#0e7490;">' + escapeHtml(_laT('overall')) + '</h3>'
+ '<p>' + escapeHtml(res.overall_assessment) + '</p>';
if (Array.isArray(res.next_steps) && res.next_steps.length) {
syn += '<h4 style="margin:0.7rem 0 0.3rem;color:#155e75;">Next steps</h4><ul>'
syn += '<h4 style="margin:0.7rem 0 0.3rem;color:#155e75;">' + escapeHtml(_laT('nextSteps')) + '</h4><ul>'
+ res.next_steps.map(function (s) { return '<li>' + escapeHtml(s) + '</li>'; }).join('')
+ '</ul>';
}
@@ -2717,25 +2725,24 @@ function laAddonEvent(data, listEl, pipelineEl, cards) {
const containerSection = pipelineEl.parentNode;
window.dbnShowSaveResultButton(
'legal-analysis',
{ text: '', language: 'no', doc_type: 'auto', source_tool: 'addon' }, // input was the prior tool's text
{ text: '', language: window.DBN_CURRENT_LANG || 'no', doc_type: 'auto', source_tool: 'addon' },
res,
{ model: res.model || 'dbn-legal-agent-v3', latency_ms: res.latency_ms || 0 },
containerSection
);
}
} else if (data.event === 'error') {
pipelineEl.innerHTML += '<div style="color:#b91c1c;margin-top:0.4rem;">Error: ' + escapeHtml(data.message || data.error || 'unknown') + '</div>';
pipelineEl.innerHTML += '<div style="color:#b91c1c;margin-top:0.4rem;">' + escapeHtml(_laT('errorPrefix')) + ' ' + escapeHtml(data.message || data.error || 'unknown') + '</div>';
}
}
function dbnInjectLegalAnalysisButton(text, lang, sourceTool, containerEl, options) {
if (!containerEl || !text || text.length < 80) return;
// Avoid duplicate buttons
if (containerEl.querySelector('.la-addon-btn')) return;
const btn = document.createElement('button');
btn.type = 'button';
btn.className = 'la-addon-btn';
btn.textContent = (options && options.label) || '⚖️🇳🇴 Run deep legal analysis on this text';
btn.textContent = (options && options.label) || _laT('addonButton');
btn.style.cssText = 'display:block;margin:1rem auto 0;padding:0.6rem 1.2rem;font-size:0.92rem;'
+ 'background:#0f766e;color:#fff;border:none;border-radius:6px;cursor:pointer;'
+ 'font-weight:600;letter-spacing:0.02em;';
@@ -2743,9 +2750,9 @@ function dbnInjectLegalAnalysisButton(text, lang, sourceTool, containerEl, optio
btn.addEventListener('mouseleave', function () { btn.style.background = '#0f766e'; });
btn.addEventListener('click', function () {
btn.disabled = true;
btn.textContent = 'Running deep legal analysis…';
btn.textContent = _laT('addonButtonBusy');
btn.style.background = '#94a3b8';
dbnRunLegalAnalysisAddon(text, lang, sourceTool, containerEl);
dbnRunLegalAnalysisAddon(text, lang || window.DBN_CURRENT_LANG || 'no', sourceTool, containerEl);
});
containerEl.appendChild(btn);
}
+78 -15
View File
@@ -48,15 +48,18 @@ process law). Each issue must be answerable as a SINGLE focused legal question
(≤ 25 words), not a multi-part essay.
Document type hint: {$docType}
Document language: {$locale}
User's response language: {$locale}
Return JSON only:
Return JSON only — every human-readable string ("question", "brief_context") MUST be
written in {$locale}. Keep Norwegian statute references (barnevernsloven § 4-25,
forvaltningsloven § 17, EMK Art. 8) and Norwegian/EMD case names (Strand Lobben mot
Norge 37283/13) in their original form even when the surrounding text is in {$locale}.
{
"issues": [
{
"id": 1,
"question": "<short Norwegian legal question, single issue>",
"brief_context": "<≤2 sentences from the document that triggered this question>",
"question": "<short legal question in {$locale}, single issue, statute refs kept in original Norwegian/Latin>",
"brief_context": "<≤2 sentences in {$locale} summarising what in the document triggered this question — paraphrase, do not quote in Norwegian unless quoting a statute>",
"doc_type": "<barnevernet|adopsjon|emergency|samvær|other>",
"severity_hint": "<high|medium|low>"
}
@@ -69,6 +72,7 @@ Rules:
named Høyesterett/EMD cases — NOT general advice.
- If the document has fewer than 5 real legal issues, return fewer entries.
- If NO real legal issue exists, return {"issues": []}.
- The source document may be in Norwegian — that is fine; still write your output in {$locale}.
DOCUMENT:
---
@@ -119,19 +123,48 @@ PROMPT;
*/
public function answerIssue(array $issue, string $corpusContext, string $language): array
{
$locale = dbnToolsLanguageName($language);
// The fine-tune was trained primarily in Norwegian; the Norwegian system
// prompt keeps its precision on barnevernsloven / EMD. We then add a
// language-coercion line so the prose comes back in the user's chosen
// language. Statute and case names stay in their original Norwegian form.
$sysMsg = 'Du er en ekspert på norsk barnevernsloven og EMD-praksis. '
. 'Svar alltid på norsk med korrekt juridisk terminologi. '
. 'Bruk korrekt juridisk terminologi. '
. 'Bruk terskler fra barnevernsloven 2021: § 4-25 krever «klar nødvendighet». '
. 'Strand Lobben mot Norge (37283/13) setter krav om rehabiliteringsplan før adopsjon. '
. 'Aldri oppfinn paragrafnumre, saksnumre eller dommernavn. '
. 'Avslutt med en «Kilder:»-seksjon som lister lovparagrafer og dommer du har sitert. ';
if ($language === 'no') {
$sysMsg .= 'Svar på norsk.';
} else {
$sysMsg .= 'IMPORTANT: Write your answer in ' . $locale
. '. Keep all Norwegian statute references (e.g. "barnevernsloven § 4-25", '
. '"forvaltningsloven § 17", "EMK Art. 8") and case names (e.g. "Strand Lobben '
. 'mot Norge 37283/13") in their original Norwegian/Latin form. The "Kilder:" '
. 'section heading stays as "Kilder:" but its contents (the cited authorities) '
. 'are listed in their original Norwegian form.';
}
$userMsg = $issue['question'];
if ($issue['brief_context'] !== '') {
$userMsg .= "\n\nKontekst fra saken: " . $issue['brief_context'];
$ctxLabel = match ($language) {
'no' => 'Kontekst fra saken',
'pl' => 'Kontekst sprawy',
'uk' => 'Контекст справи',
default => 'Case context',
};
$userMsg .= "\n\n" . $ctxLabel . ': ' . $issue['brief_context'];
}
if ($corpusContext !== '') {
$userMsg .= "\n\nRelevante kilder fra Do Better Norge-korpuset:\n" . $corpusContext;
$srcLabel = match ($language) {
'no' => 'Relevante kilder fra Do Better Norge-korpuset',
'pl' => 'Istotne źródła z korpusu Do Better Norge',
'uk' => 'Релевантні джерела з корпусу Do Better Norge',
default => 'Relevant sources from the Do Better Norge corpus',
};
$userMsg .= "\n\n" . $srcLabel . ":\n" . $corpusContext;
}
$answer = '';
@@ -164,6 +197,13 @@ PROMPT;
$severity = $clean !== '' ? dbnToolsInferCheckSeverity($clean) : $issue['severity_hint'];
$legalBasis = dbnToolsExtractCheckLegalBasis($clean);
$whatToCheck = match ($language) {
'no' => 'Verifiser med norsk familieretsadvokat før handling.',
'pl' => 'Zweryfikuj z norweskim adwokatem ds. rodzinnych przed podjęciem działań.',
'uk' => 'Перевірте з норвезьким адвокатом із сімейного права перед діями.',
default => 'Verify with a qualified Norwegian family-law lawyer before acting.',
};
return [
'id' => $issue['id'],
'question' => $issue['question'],
@@ -171,8 +211,8 @@ PROMPT;
'answer' => $clean,
'severity' => $severity,
'legal_basis' => $legalBasis,
'citations_from_corpus' => [], // populated by orchestrator if it kept the chunks
'what_to_check' => 'Verifiser med norsk familieretsadvokat før handling.',
'citations_from_corpus' => [],
'what_to_check' => $whatToCheck,
];
}
@@ -194,18 +234,29 @@ PROMPT;
}
$issuesBlock = implode("\n", $bullets);
$disclaimerText = match ($language) {
'no' => 'Dette er automatisert juridisk analyse, ikke juridisk rådgivning. Verifiser med en kvalifisert norsk advokat før du handler.',
'pl' => 'To jest zautomatyzowana analiza prawna, a nie porada prawna. Zweryfikuj z wykwalifikowanym norweskim prawnikiem przed podjęciem działań.',
'uk' => 'Це автоматизований юридичний аналіз, а не юридична консультація. Перевірте з кваліфікованим норвезьким юристом перед діями.',
default => 'This is automated legal analysis, not legal advice. Verify with a qualified Norwegian lawyer before acting.',
};
$prompt = <<<PROMPT
Below are 1-5 legal questions raised about a {$docType} document, each with an answer
from a Norwegian-law specialist model. Write a concise overall assessment in {$locale}.
from a Norwegian-law specialist model. Write a concise overall assessment.
Output language: {$locale}. Every human-readable string ("overall_assessment",
"next_steps[]", "disclaimer") MUST be written in {$locale}. Keep Norwegian statute
references and case names in their original form.
ISSUES + ANSWERS:
{$issuesBlock}
Return JSON only:
{
"overall_assessment": "<3-5 sentences summarising the legal picture across all issues>",
"next_steps": ["<concrete action 1>", "<concrete action 2>", "<concrete action 3>"],
"disclaimer": "This is automated legal analysis, not legal advice. Verify with a qualified Norwegian lawyer before acting."
"overall_assessment": "<3-5 sentences in {$locale} summarising the legal picture across all issues>",
"next_steps": ["<concrete action 1 in {$locale}>", "<concrete action 2>", "<concrete action 3>"],
"disclaimer": "{$disclaimerText}"
}
PROMPT;
@@ -250,12 +301,24 @@ PROMPT;
$issues = $this->extractIssues($text, $language, $docType);
if (empty($issues)) {
$emptyAssessment = match ($language) {
'no' => 'Ingen distinkte juridiske spørsmål identifisert i dette dokumentet.',
'pl' => 'Nie zidentyfikowano odrębnych kwestii prawnych w tym dokumencie.',
'uk' => 'У цьому документі не виявлено окремих юридичних питань.',
default => 'No discrete legal issues identified in this document.',
};
$emptyDisclaimer = match ($language) {
'no' => 'Automatisert analyse — ikke juridisk rådgivning.',
'pl' => 'Analiza zautomatyzowana — nie stanowi porady prawnej.',
'uk' => 'Автоматизований аналіз — не є юридичною консультацією.',
default => 'Automated analysis — not legal advice.',
};
return [
'ok' => true,
'issues' => [],
'overall_assessment' => 'No discrete legal issues identified in this document.',
'overall_assessment' => $emptyAssessment,
'next_steps' => [],
'disclaimer' => 'Automated analysis — not legal advice.',
'disclaimer' => $emptyDisclaimer,
'model' => self::LEGAL_MODEL,
'latency_ms' => (int)round(microtime(true) * 1000) - $startMs,
];
+160
View File
@@ -395,6 +395,46 @@ function dbnToolsTranslations(): array
'js_field_tags' => 'Tags (comma-separated)',
'js_field_lang' => 'Language',
'js_field_author' => 'Author',
// ── Legal Analysis tool ───────────────────────────────────────────
'la_doc_type_label' => 'Document type',
'la_doc_type_auto' => 'Auto-detect',
'la_doc_type_other' => 'Other',
'la_engine_hint' => 'Engine: dbn-legal-agent-v3 (Norwegian legal fine-tune on GPU). Each issue answered separately; ~30-60s per issue, up to 5 issues per run.',
'la_input_label' => 'Pasted text',
'la_input_hint' => '(optional if file or doc selected)',
'la_input_placeholder' => 'Paste a case note, court decision, vedtak, letter, or any legal document text. You can also upload a file or select from My Docs above — at least one source is required.',
'la_run_button' => 'Run legal analysis',
'la_run_button_busy' => 'Running…',
'la_ready_title' => 'Ready',
'la_ready_intro' => 'Upload a document or paste text — the tool will extract up to 5 distinct legal issues, then ask the Norwegian-law fine-tune to answer each one with citations.',
'la_ready_pipeline' => 'Pass 1 uses Azure GPT-4o-mini to spot issues. Pass 2 calls the dbn-legal-agent-v3 fine-tune on ocelot for each one. Pass 3 synthesises the overall picture. A typical run takes 2-5 minutes.',
'la_pipeline_pass1' => 'Pass 1',
'la_pipeline_pass2' => 'Pass 2',
'la_pipeline_pass3' => 'Pass 3',
'la_pass1_extracting' => 'Extracting legal issues from your document…',
'la_pass1_found' => 'Found {n} legal issue(s)',
'la_pass2_asking' => 'Asking dbn-legal-agent-v3 about each issue…',
'la_pass2_answered' => 'Specialist answered {n} issue(s)',
'la_pass3_synthesis' => 'Synthesis complete',
'la_waiting' => 'Waiting…',
'la_searching_corpus' => 'Searching legal corpus…',
'la_asking_finetune' => 'Asking dbn-legal-agent-v3…',
'la_overall' => 'Overall assessment',
'la_next_steps' => 'Next steps',
'la_answer_header' => 'Answer',
'la_legal_basis' => 'Legal basis:',
'la_extracting_status' => 'Identifying distinct legal issues…',
'la_synthesising_status' => 'Synthesising overall assessment…',
'la_extracting_files' => 'Extracting text from {n} file(s)…',
'la_need_input' => 'Paste text, upload a file, or select a document before running.',
'la_error_prefix' => 'Error:',
'la_server_returned' => 'Server returned',
'la_empty_issues' => 'No discrete legal issues were identified.',
'la_addon_button' => '⚖️🇳🇴 Run deep legal analysis on this text',
'la_addon_button_busy' => 'Running deep legal analysis…',
'la_addon_section' => 'Deep Legal Analysis',
],
'no' => [
'meta_title' => 'Do Better Norge - juridiske AI-verktøy',
@@ -722,6 +762,46 @@ function dbnToolsTranslations(): array
'js_field_tags' => 'Tagger (komma-separert)',
'js_field_lang' => 'Språk',
'js_field_author' => 'Forfatter',
// ── Juridisk analyse ──────────────────────────────────────────────
'la_doc_type_label' => 'Dokumenttype',
'la_doc_type_auto' => 'Auto-oppdaging',
'la_doc_type_other' => 'Annet',
'la_engine_hint' => 'Motor: dbn-legal-agent-v3 (norsk juridisk fine-tune på GPU). Hvert spørsmål besvares hver for seg; ~30-60s per spørsmål, opp til 5 spørsmål per kjøring.',
'la_input_label' => 'Limt inn tekst',
'la_input_hint' => '(valgfritt hvis fil eller dokument er valgt)',
'la_input_placeholder' => 'Lim inn et saksnotat, rettsavgjørelse, vedtak, brev eller annen juridisk dokumenttekst. Du kan også laste opp en fil eller velge fra Mine dokumenter ovenfor — minst én kilde kreves.',
'la_run_button' => 'Kjør juridisk analyse',
'la_run_button_busy' => 'Kjører…',
'la_ready_title' => 'Klar',
'la_ready_intro' => 'Last opp et dokument eller lim inn tekst — verktøyet henter ut opptil 5 distinkte juridiske spørsmål og lar den norske fine-tunen svare på hvert enkelt med kilder.',
'la_ready_pipeline' => 'Pass 1 bruker Azure GPT-4o-mini for å identifisere spørsmål. Pass 2 kaller dbn-legal-agent-v3 fine-tunen på ocelot for hvert spørsmål. Pass 3 sammenfatter helhetsbildet. En typisk kjøring tar 2-5 minutter.',
'la_pipeline_pass1' => 'Pass 1',
'la_pipeline_pass2' => 'Pass 2',
'la_pipeline_pass3' => 'Pass 3',
'la_pass1_extracting' => 'Henter ut juridiske spørsmål fra dokumentet…',
'la_pass1_found' => 'Fant {n} juridisk(e) spørsmål',
'la_pass2_asking' => 'Spør dbn-legal-agent-v3 om hvert spørsmål…',
'la_pass2_answered' => 'Spesialisten besvarte {n} spørsmål',
'la_pass3_synthesis' => 'Syntese fullført',
'la_waiting' => 'Venter…',
'la_searching_corpus' => 'Søker i juridisk korpus…',
'la_asking_finetune' => 'Spør dbn-legal-agent-v3…',
'la_overall' => 'Helhetsvurdering',
'la_next_steps' => 'Neste skritt',
'la_answer_header' => 'Svar',
'la_legal_basis' => 'Lovgrunnlag:',
'la_extracting_status' => 'Identifiserer distinkte juridiske spørsmål…',
'la_synthesising_status' => 'Sammenfatter helhetsvurdering…',
'la_extracting_files' => 'Henter ut tekst fra {n} fil(er)…',
'la_need_input' => 'Lim inn tekst, last opp en fil eller velg et dokument før du kjører.',
'la_error_prefix' => 'Feil:',
'la_server_returned' => 'Server svarte',
'la_empty_issues' => 'Ingen distinkte juridiske spørsmål ble identifisert.',
'la_addon_button' => '⚖️🇳🇴 Kjør dyp juridisk analyse på denne teksten',
'la_addon_button_busy' => 'Kjører dyp juridisk analyse…',
'la_addon_section' => 'Dyp juridisk analyse',
],
'uk' => [
'meta_title' => 'Do Better Norge - юридичні AI інструменти',
@@ -1049,6 +1129,46 @@ function dbnToolsTranslations(): array
'js_field_tags' => 'Теги (через кому)',
'js_field_lang' => 'Мова',
'js_field_author' => 'Автор',
// ── Юридичний аналіз ──────────────────────────────────────────────
'la_doc_type_label' => 'Тип документа',
'la_doc_type_auto' => 'Авто-визначення',
'la_doc_type_other' => 'Інше',
'la_engine_hint' => 'Модель: dbn-legal-agent-v3 (норвезька юридична fine-tune на GPU). Кожне питання обробляється окремо; ~30-60с на питання, до 5 питань за запуск.',
'la_input_label' => 'Вставлений текст',
'la_input_hint' => '(необов’язково, якщо вибрано файл або документ)',
'la_input_placeholder' => 'Вставте судову нотатку, рішення суду, vedtak, лист або будь-який юридичний текст. Можна також завантажити файл або вибрати з Моїх документів вище — потрібне принаймні одне джерело.',
'la_run_button' => 'Запустити юридичний аналіз',
'la_run_button_busy' => 'Виконання…',
'la_ready_title' => 'Готово',
'la_ready_intro' => 'Завантажте документ або вставте текст — інструмент виявить до 5 окремих юридичних питань і попросить норвезьку fine-tune відповісти на кожне з цитатами.',
'la_ready_pipeline' => 'Прохід 1 використовує Azure GPT-4o-mini для виявлення питань. Прохід 2 викликає dbn-legal-agent-v3 для кожного. Прохід 3 синтезує загальну картину. Типовий запуск триває 2-5 хвилин.',
'la_pipeline_pass1' => 'Прохід 1',
'la_pipeline_pass2' => 'Прохід 2',
'la_pipeline_pass3' => 'Прохід 3',
'la_pass1_extracting' => 'Виявлення юридичних питань у документі…',
'la_pass1_found' => 'Знайдено {n} юридичне(их) питання',
'la_pass2_asking' => 'Запит до dbn-legal-agent-v3 для кожного питання…',
'la_pass2_answered' => 'Спеціаліст відповів на {n} питання',
'la_pass3_synthesis' => 'Синтез завершено',
'la_waiting' => 'Очікування…',
'la_searching_corpus' => 'Пошук у юридичному корпусі…',
'la_asking_finetune' => 'Запит до dbn-legal-agent-v3…',
'la_overall' => 'Загальна оцінка',
'la_next_steps' => 'Наступні кроки',
'la_answer_header' => 'Відповідь',
'la_legal_basis' => 'Правова підстава:',
'la_extracting_status' => 'Виявлення окремих юридичних питань…',
'la_synthesising_status' => 'Синтез загальної оцінки…',
'la_extracting_files' => 'Виділення тексту з {n} файл(ів)…',
'la_need_input' => 'Вставте текст, завантажте файл або виберіть документ перед запуском.',
'la_error_prefix' => 'Помилка:',
'la_server_returned' => 'Сервер повернув',
'la_empty_issues' => 'Окремих юридичних питань не виявлено.',
'la_addon_button' => '⚖️🇳🇴 Запустити глибокий юридичний аналіз цього тексту',
'la_addon_button_busy' => 'Виконується глибокий юридичний аналіз…',
'la_addon_section' => 'Глибокий юридичний аналіз',
],
'pl' => [
'meta_title' => 'Do Better Norge - prawne narzędzia AI',
@@ -1376,6 +1496,46 @@ function dbnToolsTranslations(): array
'js_field_tags' => 'Tagi (oddzielone przecinkami)',
'js_field_lang' => 'Język',
'js_field_author' => 'Autor',
// ── Analiza prawna ────────────────────────────────────────────────
'la_doc_type_label' => 'Typ dokumentu',
'la_doc_type_auto' => 'Auto-wykrywanie',
'la_doc_type_other' => 'Inny',
'la_engine_hint' => 'Silnik: dbn-legal-agent-v3 (norweski prawny fine-tune na GPU). Każda kwestia odpowiadana osobno; ~30-60s na kwestię, do 5 kwestii na uruchomienie.',
'la_input_label' => 'Wklejony tekst',
'la_input_hint' => '(opcjonalne, jeśli wybrano plik lub dokument)',
'la_input_placeholder' => 'Wklej notatkę sprawy, orzeczenie sądu, vedtak, list lub dowolny tekst prawny. Możesz też przesłać plik lub wybrać z Moich dokumentów powyżej — wymagane jest co najmniej jedno źródło.',
'la_run_button' => 'Uruchom analizę prawną',
'la_run_button_busy' => 'Uruchamianie…',
'la_ready_title' => 'Gotowe',
'la_ready_intro' => 'Prześlij dokument lub wklej tekst — narzędzie wyodrębni do 5 odrębnych kwestii prawnych i poprosi norweski fine-tune o odpowiedź na każdą z cytatami.',
'la_ready_pipeline' => 'Przebieg 1 używa Azure GPT-4o-mini do wykrycia kwestii. Przebieg 2 wywołuje dbn-legal-agent-v3 dla każdej. Przebieg 3 syntetyzuje obraz całości. Typowe uruchomienie trwa 2-5 minut.',
'la_pipeline_pass1' => 'Przebieg 1',
'la_pipeline_pass2' => 'Przebieg 2',
'la_pipeline_pass3' => 'Przebieg 3',
'la_pass1_extracting' => 'Wyodrębnianie kwestii prawnych z dokumentu…',
'la_pass1_found' => 'Znaleziono {n} kwestii prawnych',
'la_pass2_asking' => 'Pytanie dbn-legal-agent-v3 o każdą kwestię…',
'la_pass2_answered' => 'Specjalista odpowiedział na {n} kwestii',
'la_pass3_synthesis' => 'Synteza zakończona',
'la_waiting' => 'Oczekiwanie…',
'la_searching_corpus' => 'Przeszukiwanie korpusu prawnego…',
'la_asking_finetune' => 'Pytanie dbn-legal-agent-v3…',
'la_overall' => 'Ocena całościowa',
'la_next_steps' => 'Następne kroki',
'la_answer_header' => 'Odpowiedź',
'la_legal_basis' => 'Podstawa prawna:',
'la_extracting_status' => 'Identyfikowanie odrębnych kwestii prawnych…',
'la_synthesising_status' => 'Syntetyzowanie oceny całościowej…',
'la_extracting_files' => 'Wyodrębnianie tekstu z {n} plik(ów)…',
'la_need_input' => 'Wklej tekst, prześlij plik lub wybierz dokument przed uruchomieniem.',
'la_error_prefix' => 'Błąd:',
'la_server_returned' => 'Serwer zwrócił',
'la_empty_issues' => 'Nie zidentyfikowano odrębnych kwestii prawnych.',
'la_addon_button' => '⚖️🇳🇴 Uruchom głęboką analizę prawną tego tekstu',
'la_addon_button_busy' => 'Trwa głęboka analiza prawna…',
'la_addon_section' => 'Głęboka analiza prawna',
],
];
}
+31
View File
@@ -23,6 +23,37 @@
</main><!-- /appShell -->
<?php require_once __DIR__ . '/footer.php'; ?>
<link rel="stylesheet" href="/assets/css/doc-picker.css">
<?php
// Expose current UI language + add-on i18n map for tools.js (legal-analysis add-on
// can fire from any tool page, so it needs strings without depending on per-tool maps).
$_footerLang = $uiLang ?? dbnToolsCurrentLanguage();
$_footerAddonI18n = [
'addonButton' => dbnToolsT('la_addon_button', $_footerLang),
'addonButtonBusy' => dbnToolsT('la_addon_button_busy', $_footerLang),
'addonSection' => dbnToolsT('la_addon_section', $_footerLang),
'pass1' => dbnToolsT('la_pipeline_pass1', $_footerLang),
'pass2' => dbnToolsT('la_pipeline_pass2', $_footerLang),
'pass3' => dbnToolsT('la_pipeline_pass3', $_footerLang),
'pass1Extracting' => dbnToolsT('la_pass1_extracting', $_footerLang),
'pass1Found' => dbnToolsT('la_pass1_found', $_footerLang),
'pass2Asking' => dbnToolsT('la_pass2_asking', $_footerLang),
'pass2Answered' => dbnToolsT('la_pass2_answered', $_footerLang),
'pass3Synthesis' => dbnToolsT('la_pass3_synthesis', $_footerLang),
'waiting' => dbnToolsT('la_waiting', $_footerLang),
'searchingCorpus' => dbnToolsT('la_searching_corpus', $_footerLang),
'askingFinetune' => dbnToolsT('la_asking_finetune', $_footerLang),
'overall' => dbnToolsT('la_overall', $_footerLang),
'nextSteps' => dbnToolsT('la_next_steps', $_footerLang),
'answerHeader' => dbnToolsT('la_answer_header', $_footerLang),
'legalBasis' => dbnToolsT('la_legal_basis', $_footerLang),
'errorPrefix' => dbnToolsT('la_error_prefix', $_footerLang),
'serverReturned' => dbnToolsT('la_server_returned', $_footerLang),
];
?>
<script>
window.DBN_CURRENT_LANG = <?= json_encode($_footerLang) ?>;
window.DBN_ADDON_I18N = <?= json_encode($_footerAddonI18n, JSON_UNESCAPED_UNICODE | JSON_UNESCAPED_SLASHES | JSON_HEX_TAG | JSON_HEX_APOS | JSON_HEX_QUOT | JSON_HEX_AMP) ?>;
</script>
<script src="assets/js/tools.js" defer></script>
<?php if (!empty($extraScripts) && is_array($extraScripts)): foreach ($extraScripts as $extraScript): ?>
<script src="<?= htmlspecialchars((string)$extraScript) ?>" defer></script>
+53 -16
View File
@@ -6,28 +6,58 @@ $toolKind = 'Deep Legal Q&A';
$toolBadge = 'Two-pass';
$extraScripts = ['assets/js/legal-analysis.js'];
require_once __DIR__ . '/includes/layout.php';
$laLang = dbnToolsCurrentLanguage();
$laT = static fn(string $k): string => dbnToolsT($k, $laLang);
$laI18n = [
'docTypeAuto' => $laT('la_doc_type_auto'),
'runButton' => $laT('la_run_button'),
'runButtonBusy' => $laT('la_run_button_busy'),
'extractingFiles' => $laT('la_extracting_files'),
'needInput' => $laT('la_need_input'),
'errorPrefix' => $laT('la_error_prefix'),
'serverReturned' => $laT('la_server_returned'),
'pass1' => $laT('la_pipeline_pass1'),
'pass2' => $laT('la_pipeline_pass2'),
'pass3' => $laT('la_pipeline_pass3'),
'pass1Extracting' => $laT('la_pass1_extracting'),
'pass1Found' => $laT('la_pass1_found'),
'pass2Asking' => $laT('la_pass2_asking'),
'pass2Answered' => $laT('la_pass2_answered'),
'pass3Synthesis' => $laT('la_pass3_synthesis'),
'waiting' => $laT('la_waiting'),
'searchingCorpus' => $laT('la_searching_corpus'),
'askingFinetune' => $laT('la_asking_finetune'),
'overall' => $laT('la_overall'),
'nextSteps' => $laT('la_next_steps'),
'answerHeader' => $laT('la_answer_header'),
'legalBasis' => $laT('la_legal_basis'),
'extractingStatus' => $laT('la_extracting_status'),
'synthesisingStatus' => $laT('la_synthesising_status'),
'emptyIssues' => $laT('la_empty_issues'),
];
?>
<form id="laForm" class="tool-form" novalidate>
<div class="lang-switcher" id="laLangSwitcher" role="group" aria-label="UI language">
<button type="button" class="lang-btn la-lang-btn is-active" data-lang="no">&#127475;&#127476; NO</button>
<button type="button" class="lang-btn la-lang-btn" data-lang="en">&#127468;&#127463; EN</button>
<button type="button" class="lang-btn la-lang-btn <?= $laLang === 'en' ? 'is-active' : '' ?>" data-lang="en">&#127468;&#127463; EN</button>
<button type="button" class="lang-btn la-lang-btn <?= $laLang === 'no' ? 'is-active' : '' ?>" data-lang="no">&#127475;&#127476; NO</button>
<button type="button" class="lang-btn la-lang-btn <?= $laLang === 'uk' ? 'is-active' : '' ?>" data-lang="uk">&#127482;&#127462; UK</button>
<button type="button" class="lang-btn la-lang-btn <?= $laLang === 'pl' ? 'is-active' : '' ?>" data-lang="pl">&#127477;&#127473; PL</button>
</div>
<div class="control-row" id="laDocTypeControl">
<span class="control-label">Document type</span>
<label><input type="radio" name="laDocType" value="auto" checked> Auto-detect</label>
<span class="control-label"><?= htmlspecialchars($laT('la_doc_type_label')) ?></span>
<label><input type="radio" name="laDocType" value="auto" checked> <?= htmlspecialchars($laT('la_doc_type_auto')) ?></label>
<label><input type="radio" name="laDocType" value="barnevernet"> Barnevernet</label>
<label><input type="radio" name="laDocType" value="adopsjon"> Adopsjon</label>
<label><input type="radio" name="laDocType" value="emergency"> Akutt-plassering</label>
<label><input type="radio" name="laDocType" value="samvær"> Samvær</label>
<label><input type="radio" name="laDocType" value="fylkesnemnd"> Fylkesnemnd</label>
<label><input type="radio" name="laDocType" value="other"> Annet</label>
<label><input type="radio" name="laDocType" value="other"> <?= htmlspecialchars($laT('la_doc_type_other')) ?></label>
</div>
<p class="upload-hint">
Engine: <strong>dbn-legal-agent-v3</strong> (Norwegian legal fine-tune on GPU). Expect ~30-60 seconds per issue, up to 5 issues per run.
</p>
<p class="upload-hint"><?= htmlspecialchars($laT('la_engine_hint')) ?></p>
<div id="docPickerSection" class="doc-picker-section">
<button type="button" id="docPickerBtn" class="doc-picker-btn" aria-haspopup="dialog">
@@ -51,27 +81,34 @@ require_once __DIR__ . '/includes/layout.php';
</div>
</div>
<label class="input-label" for="laInput">Pasted text <small class="control-hint">(optional if file or doc selected)</small></label>
<textarea id="laInput" name="text" rows="8" placeholder="Paste a case note, court decision, vedtak, brev, or any legal document text. You can also upload a file or select from My Docs above — at least one source is required."></textarea>
<label class="input-label" for="laInput"><?= htmlspecialchars($laT('la_input_label')) ?> <small class="control-hint"><?= htmlspecialchars($laT('la_input_hint')) ?></small></label>
<textarea id="laInput" name="text" rows="8" placeholder="<?= htmlspecialchars($laT('la_input_placeholder')) ?>"></textarea>
<div class="form-footer">
<p id="laStatus" class="form-status" role="status" aria-live="polite"></p>
<button id="laRunButton" type="submit">Run legal analysis</button>
<button id="laRunButton" type="submit"><?= htmlspecialchars($laT('la_run_button')) ?></button>
</div>
</form>
<section id="laResults" class="results" aria-live="polite">
<div class="empty-state">
<h3>Ready</h3>
<p>Upload a document or paste text — the tool will extract up to 5 distinct legal issues, then ask the Norwegian-law fine-tune to answer each one with citations.</p>
<p class="upload-hint">Pass 1 uses Azure GPT-4o-mini to spot issues. Pass 2 calls the dbn-legal-agent-v3 fine-tune on ocelot for each one. Pass 3 synthesises the overall picture. A typical run takes 2-5 minutes.</p>
<h3><?= htmlspecialchars($laT('la_ready_title')) ?></h3>
<p><?= htmlspecialchars($laT('la_ready_intro')) ?></p>
<p class="upload-hint"><?= htmlspecialchars($laT('la_ready_pipeline')) ?></p>
</div>
</section>
<script>
window.DBN_LA_I18N = <?= json_encode($laI18n, JSON_UNESCAPED_UNICODE | JSON_UNESCAPED_SLASHES | JSON_HEX_TAG | JSON_HEX_APOS | JSON_HEX_QUOT | JSON_HEX_AMP) ?>;
window.DBN_LA_LANG = <?= json_encode($laLang) ?>;
</script>
<!-- Hidden stubs so tools.js element refs don't crash on this page -->
<div class="is-hidden" id="languageControl" aria-hidden="true">
<input type="radio" name="language" value="en">
<input type="radio" name="language" value="no" checked>
<input type="radio" name="language" value="en" <?= $laLang === 'en' ? 'checked' : '' ?>>
<input type="radio" name="language" value="no" <?= $laLang === 'no' ? 'checked' : '' ?>>
<input type="radio" name="language" value="uk" <?= $laLang === 'uk' ? 'checked' : '' ?>>
<input type="radio" name="language" value="pl" <?= $laLang === 'pl' ? 'checked' : '' ?>>
</div>
<div class="is-hidden" id="redactionControl" aria-hidden="true"></div>
<div class="is-hidden" id="audioZone" aria-hidden="true">