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6 Core Features + Knowledge Base + PD Calculator

Every Feature Traces to a Real Task That Consumes Real Attorney Time

Built by a CA WC attorney with 15 years on both sides of the bar. Adjudica doesn't guess about what's valuable, it was built to solve the founder's own problem.

5–10 min

Medical record review (vs. 2–4 hours manual)

30 sec

DWC form fill (vs. 15–20 minutes manual)

45 sec

MSC brief draft (vs. 2–3 hours manual)

3 sec

Provider synthesis from 500 pages (vs. 20–30 min)

Platform Features

The Complete CA WC Attorney Workflow

From initial document upload through settlement demand, every step of the CA WC workflow is covered. All features include source citations, confidence scoring, and attorney verification workflows.

Document Ingestion & Classification

Core

Upload medical records, QME/AME reports, court filings, correspondence. Classified across 15 categories and 350 subtypes by Adjudica's proprietary classifier engine. Categories span pleadings, medical-legal, regulatory forms, liens, settlements, work product, discovery, utilization management, and more. Two-step classification (type → subtype) with claim-context disambiguation. Three-tier extraction: 10 universal fields + 8–20 type-level fields + 5–20 subtype-specific fields. Per-field confidence scoring (high / medium / low). High-accuracy OCR on scanned faxes via Google Document AI.

Matter Chat: Case Q&A

Core

Ask any question about your case in plain English. Powered by Retrieval-Augmented Generation (RAG) over all uploaded documents. Every answer includes citations to specific pages. Replaces manual search through 500-page medical files.

DWC Form Auto-Fill

100+ Forms

100+ California Workers' Compensation forms populated by AI from case data. High-confidence answers are pre-filled. Anything the AI is unsure about is flagged with a warning icon and a dropdown of candidate answers to pick from. Fields it can't answer from the record are left blank. EAMS-ready PDF output.

Custom Document Generation

Core

Two systems, one output. Custom drafts: write your prompt, AI plans the structure, expands per-section instructions, and generates content with citations. Templates: firm uploads its template, AI fills placeholders only when case data supports the value (no hallucinated names or dates). WCAB terminology, Labor Code sections, and apportionment context built into every prompt. Markdown output with structured citations to source documents. 10–15 minutes vs. 2–3 hours.

Template Library

Smart templates preserve your firm's best work product. Write your best settlement demand once; AI auto-fills case-specific details for every subsequent matter. Placeholders fill from case data when AI is confident, and stay as placeholders when it isn't. No fabricated names, dates, or numbers. Firm-specific customization preserved across the entire practice.

Event Timeline Generation

Complete case chronology extracted automatically from all uploaded documents. 67 events from 47 documents, each linked to the source. Color-coded by type (Legal, Medical, Insurance, Communication). 10 minutes of review vs. 8 hours manual construction.

Knowledge Base: 2,820 CA WC Cases

Unique

Multi-AI consensus (multiple frontier models run in parallel, results aggregated) over 108 years of California Workers' Compensation law (1918–2026). 13,549 legal principles in IRAC format. 10,320 citations mapped across 7 relationship types, semantically related rather than text-matched. 2,820 case briefs and 2,820 publicly accessible case law PDFs, one per case. 259+ cases specifically addressing apportionment.

PD Calculator: All Three PDRS Schedules

Free Tool

Permanent Disability Rating System calculations for all three schedule versions: 1997, 2005, and 2013+. Live at calculator.adjudica.ai. Cross-references WPI ratings against comparable cases. AMA Guides (5th Ed.) deep integration available as a licensed add-on.

See it in the product

AI form-fill, evidenced field by field

A DWC-1 Workers' Compensation claim form being filled by AI, with a Re-fill Form With AI action and an AI-generated verify-before-use notice.
Adjudica fills a California DWC form from the case record. High-confidence answers are pre-filled. Anything it is unsure about is flagged with a warning icon and a dropdown of candidate answers to verify. Fields it cannot answer are left blank. Form-fill runs on Gemini; we don't use an OpenAI BAA for PHI. Shown on a demonstration firm with synthetic data.

The Glass Box Difference

Every Output Cites Its Source. No Exceptions.

Harvey AI and Casetext cite law. Adjudica goes further, we cite the specific page of the QME report, the specific paragraph of the treating physician's notes, the specific Labor Code section, the specific MTUS chapter.

"QME Report, p. 12 line 5, apportionment to pre-existing lumbar pathology (LC § 4663)"
"QME Report, Dr. Smith, page 14, paragraph 2, 12% WPI lumbar spine"
"AMA Guides, 5th Ed., Chapter 15, Table 15-3, supports WPI range 20–28% (licensed add-on)"
"Escobedo v. Marshalls (2005) 70 Cal.Comp.Cases 604, apportionment requires factual basis"

Why It Matters

Attorneys Must Defend Every Filing

CRPC Compliance

California Rules of Professional Conduct require attorneys to exercise independent judgment. Independent judgment requires understanding. Glass Box architecture makes understanding possible.

Hallucination Prevention

RAG architecture with verified sources only. Every legal conclusion cites a verified source. Citation verification layer catches fabricated references before they reach the attorney.

Attorney Oversight

Every output cites its source. Click any citation to verify the underlying document, page, Labor Code section, or MTUS guideline in one tap. Attorneys verify every fact; AI provides the evidence.

On the Roadmap

Two Major Modules Coming to Adjudica

Join the early access list to shape these features and be first in line when they launch.

Coming Soon

Lien Module

Full lien management inside Adjudica. Track lien claimants, statute of limitations dates, lien conference preparation, and settlement allocation. Every lien position cited to LC 4903 et seq. Negotiation summaries drafted with cited authority.

LC 4903 et seq.

Coming Soon

UR Decision Evaluator

Analyze utilization review decisions against MTUS guidelines, identify appealable denials, and draft IMR petition arguments. Cite the specific MTUS chapter and treatment guideline the UR reviewer should have applied. Turn every wrongful denial into a documented appeal.

LC 4610; 8 CCR 9792 et seq.

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