Add 4-language switcher (EN/NO/UK/PL), engine choice (Azure mini/full,
GPU/cuttlefish), and expandable Advanced panel (Focus, Confidence filter,
Date types) to timeline.php. Wire new params through api/timeline.php and
LegalTools::timeline() with engine routing, focus-aware prompt injection,
and confidence/date-type post-filters. Add TIMELINE_I18N to tools.js with
improved renderTimeline() confidence colour-coding and new CSS classes.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Custom inline form (EN/NO/UK/PL lang switcher) replacing generic stub
- Engine selector: Azure gpt-4o-mini (default), gpt-4o, GPU cuttlefish, regex-only
- Entity type toggles: names, organisations, places, dates of birth
- Output formats: contextual role tags, generic [PERSON], Norwegian pseudonyms
- Keep officials mode: judges/experts kept as [JUDGE: Andersen] format
- Exempt names list: specific names excluded from redaction
- Hint paragraphs explaining each option in all four languages
- Backend: engine routing, callGpuLlm(), applyGenericTags(), applyPseudonymization()
- AzureOpenAiGateway: withDeployment() clone pattern for per-call model override
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Extract limit raised from 32K to 128K chars per file (long legal docs now fit)
- Redact API body/text limits raised (400KB / 128K chars) to match
- Upload zone accepts multiple files (up to 5); extracted text concatenated with
doc separator and combined before redaction; shows per-file char counts
- LLM redact pass now infers contextual person roles (FATHER, MOTHER, CHILD,
ATTORNEY, JUDGE, etc.) instead of generic [PERSON] for all names; same
individual gets consistent tag throughout the document
- Tag validation widened to allow any [A-Za-z0-9_- ] pattern (not just the
five hardcoded tags), supporting contextual and alias tags
- Alias UI added to Redact mode: user maps real names to bracketed aliases
(e.g. "David Jr" -> [Junior]); aliases injected into LLM system prompt as
override instructions; max 20 aliases, 100 chars each
- max_tokens raised from 2000 to 4000; timeout from 60s to 90s for larger docs
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- index.php: public showcase landing page (hero, how-it-works, capabilities,
evidence mock, login form) visible to unauthenticated visitors; full OG/SEO
meta; app shell hidden behind auth as before
- tools.css: showcase section styles (gradient hero, step cards, capability
grid, CTA button, evidence mock, footer)
- LegalTools.php: sourceFromChunk() batch-fetches doc_summaries from RAG DB
for non-private chunks; excerpt shows doc summary when available, falls back
to raw chunk text; chunk_text field always carries the raw excerpt
- tools.js: renderEvidenceItem() shows doc summary as card body; adds a
collapsible "View chunk" toggle when summary differs from raw chunk text
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Pass 1: deterministic regex with Nordic/European/ECHR/Global packs
covering fødselsnummer, Swedish personnummer, Danish/Finnish CPR,
UK NI, French INSEE, IBAN, EU phones, ECHR application numbers, DOB,
and national ID label patterns.
Pass 2: LLM semantic scan (Azure OpenAI) finds names, orgs, places
and identifying descriptions missed by regex. Runs on pre-redacted
text so no raw PII reaches the LLM.
Adds region selector (Nordic/European/ECHR/Global) to the Redact UI.
Falls back gracefully when Azure is not yet configured.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
daveadmin