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AI Legal Operations & Active Case Workspace — Rodriguez v. Mount Sinai

You are logged into a live case. In your dashboard, you can see an AI-qualified medical malpractice lead with a 92/100 Merit Score, 7 flagged contradictions in the deposition testimony, and a $4.2M estimated trial value — all generated in the time it took to read this sentence.

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Your Active Case LIVE
Rodriguez v. Mount Sinai Hospital
Medical Malpractice — Delayed Sepsis Diagnosis
AI Merit Score
92/100
Trial Value (NY)
$4.2M
Contradictions
7
Treatment Gap
14h
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Your AI-Powered Legal Operations Workspace

Everything you need to automate intake, analyze discovery, and build stronger cases — all in your active workspace.

Your AI Intake Workspace

In your dashboard, Elena Rodriguez's intake conversation is already transcribed, scored, and synced to your CRM. You can see the AI's 92/100 merit score, click to hear the original intake call, and approve the lead for Filevine in one click — without re-typing a single data field.

Your Medical Timeline

Open the chronology tab and you will see Ms. Rodriguez's complete Mount Sinai treatment history organized by date. The AI has highlighted the 14-hour gap between ER triage and antibiotic administration in red — click any entry to jump to the source medical record page.

Your Discovery Repository

In your Discovery-Vault, 847 documents from Mount Sinai's production are already indexed, de-duplicated, and tagged by issue. You can filter by "sepsis protocol compliance" and see exactly 6 responsive documents — the AI has already extracted the key clinical timelines from each one.

Your Settlement Model

Open Settlement-Predictor Pro and you will see Ms. Rodriguez's case valued at $4.2M for New York — where there is no cap on non-economic damages. Toggle the jurisdiction to California and watch the estimate adjust to $353,000 under MICRA.

Your Deposition Analysis

In your Veritas workspace, Dr. Miller's deposition transcript is open. The AI has flagged 7 contradictions against the medical records — including his claim that antibiotics started at 19:45 when the MAR shows no administration until 10:15. Three cross-examination questions are pre-generated.

Your Compliance Log

In your Compliance-Shield dashboard, every AI action has an immutable audit trail. The intake transcript was HIPAA-encrypted, the medical records were BAA-protected, and all Filevine transfers were logged with timestamps and actor identities.

Your Legal Operations Hub

In your operations dashboard, see the full case lifecycle: intake in 3 seconds (vs. 4 hours manual), medical review in 90 seconds (vs. 6 hours manual), deposition analysis in 2 minutes (vs. 8 hours manual). Your effective capacity increased by 300%.

Your Document Workspace

Open the document drafter and a demand letter for Rodriguez v. Mount Sinai is pre-populated with case facts, chronology, and liability analysis. Every statement includes a source citation — click to jump to the exact medical record page or deposition line.

Your Analytics Dashboard

Your dashboard shows real-time metrics: 47 active cases, 12 in AI review, 8 with deposition analysis running. The Rodriguez case appears at the top of your priority queue — flagged as high-value with an approaching statute of limitations.

⚡ Live from Your Dashboard · Case Detail View

Rodriguez v. Mount Sinai Hospital

This is the case open in your workspace right now. Below you can see exactly what the AI surfaced: the Contradiction Detection Engine found 7 inconsistencies between Dr. Miller's deposition testimony and the hospital's own records — and generated cross-examination questions for each one.

92
Merit Score
$4.2M
Trial Value (NY)
7
Contradictions
14h
Treatment Gap
Deposition Testimony

"I personally confirmed the start of the IV antibiotic protocol at 19:45."

— Dr. Alan Miller, ER Attending, Deposition Page 34

"The patient's condition was stable throughout the evening shift."

— Dr. Alan Miller, Deposition Page 47
Evidentiary Record

Medication Administration Record shows zero antibiotic entries until 10:15 the following morning — 14 hours and 30 minutes after claimed confirmation.

Exhibit: MAR_Table_3, Nursing_Logs_P8

ER Triage documents qSOFA score of 2 at 18:30 — 10% risk of in-hospital mortality.

Exhibit: ER_Triage_Page_1
AI-Generated Cross-Examination Questions
  1. "Doctor, you testified that you 'personally confirmed' the start of antibiotics at 19:45. Can you explain why the hospital's own electronic MAR shows no such administration for 14 hours?"
  2. "You characterize a qSOFA score of 2 — which carries a 10% risk of in-hospital mortality — as 'stable'?"
  3. "Does the hospital's Sepsis Protocol require the '3-Hour Bundle' for patients meeting 2/3 qSOFA criteria?"
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Common Questions

Your Workspace FAQs

Everything you need to know about your LexiFlow Workspace environment.

What is the LexiFlow Workspace?

Your workspace is a live case management environment where AI-qualified leads, deposition contradictions, settlement models, and document drafts are pre-loaded. When you log in, you see the Rodriguez v. Mount Sinai case with a 92/100 Merit Score, 7 flagged contradictions, and $4.2M estimated trial value.

How does the AI Merit Score work?

Every lead is scored across four weighted vectors: Liability Strength (35%), Damages Severity (30%), Causation Clarity (20%), and Statute & Procedural (15%). Each vector is backed by citations from the transcript. Scores 80-100 auto-qualify; 50-79 flag for review.

How does Veritas detect contradictions?

The Contradiction Detection Engine uses a 5-step process: Ingest, Entity Extraction, Conflict Detection (semantic comparison), Severity Classification (Critical/Significant/Minor), and Citation Generation (side-by-side with source references).

Is the workspace HIPAA compliant?

Yes. We sign BAAs with firms handling PHI, maintain SOC2 Type II alignment, and provide built-in attorney-in-the-loop staging controls aligned with state bar ethics guidelines.

Which CRMs integrate with the workspace?

Native API integrations with Clio Grow, Clio Manage, Filevine, and MyCase. Sync is bidirectional: CRM updates flow back to your workspace dashboard.

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