AI Legal Software for Plaintiff Firms

Source-cited AI for case-critical plaintiff workflows

For firms evaluating AI for lawyers, LexiFlow brings intake qualification, medical chronology, discovery analysis, settlement modeling, deposition preparation, and document drafting into a single workspace — where case-critical outputs carry source citations you can click through to the original record.

Explore the Live Workspace See Features

Rodriguez v. Mount Sinai — Active Case

Merit Score

92/100 Auto-qualified

Deposition Contradictions 7 flagged

Discovery Documents 847 indexed

Settlement Estimate (NY) $4.2M

Treatment Gap Flagged 14 hrs

HIPAA-Encrypted

Signed BAAs

SOC 2 Type II Aligned

Immutable Audit Trail

Attorney-in-the-Loop

What LexiFlow Does

Six connected workspaces, one case file

LexiFlow functions as an AI legal assistant across the full case lifecycle — from intake call to demand letter, with source citations at every step.

Veritas Contradiction Detection

Flags conflicts between deposition testimony and medical records using a 5-step engine: Ingest, Entity Extraction, Conflict Detection, Severity Classification, and Citation Generation. Each contradiction is rated Critical, Significant, or Minor — with side-by-side source references.

Critical Claimed antibiotic at 19:45 vs. MAR at 10:15

Significant Triage note: "alert, oriented" vs. depo: "unconscious"

Critical Discharge time 14:00 vs. nursing note 17:30

Significant "No sepsis protocol" vs. sepsis order set in EHR

AI Intake Workspace

Transcribes intake calls, assigns a merit score, and syncs qualified leads directly to your CRM without re-typing data fields. Auto-qualifies at 80–100; flags 50–79 for review.

Medical Timeline

AI medical chronology software that organizes treatment histories by date, highlights clinically significant gaps, and links every entry to the source medical record page.

Discovery Repository

Indexes, de-duplicates, and tags produced documents by issue. Filtered search for "sepsis protocol compliance" returns exactly 6 responsive records from 847 indexed documents.

Settlement Model

Estimates case value by jurisdiction, adjusting for state-specific damage caps. Toggles between New York's uncapped non-economic damages and California's MICRA limits.

Document Workspace

AI document drafting that pre-populates demand letters with case facts, chronology, and liability analysis. Every statement carries a clickable source citation to the original record.

Outcomes and Results

What the workspace shows

Based on the operations dashboard metrics shown in the live demo workspace, here is the impact across the case lifecycle.

Task	With LexiFlow	Manual Process
Case intake	3 seconds	4 hours
Medical record review	90 seconds	6 hours
Deposition analysis	2 minutes	8 hours

300% effective capacity increase reported across these three workflows

Metrics shown in the LexiFlow live demo workspace (Rodriguez v. Mount Sinai). Not independent customer benchmarks.

How It Works

Transparent, auditable AI processes

LexiFlow's AI doesn't operate as a black box. Each system follows a defined, multi-step process with citations at every stage.

AI Merit Score

Transcribe Intake Call

Audio is captured and transcribed automatically, with the original recording retained.

Score Four Weighted Vectors

Liability Strength (35%), Damages Severity (30%), Causation Clarity (20%), Statute & Procedural (15%) — each backed by intake transcript citations.

Auto-Qualify or Flag

Scores of 80–100 auto-qualify the lead. Scores of 50–79 are flagged for attorney review.

Sync to CRM

Qualified leads sync to Filevine, Clio Grow, Clio Manage, or MyCase with one click.

92 / 100

Rodriguez v. Mount Sinai — Intake Score

Liability Strength 35%

Damages Severity 30%

Causation Clarity 20%

Statute & Procedural 15%

CRM Integrations

Connects to the platforms you already use

Native API integrations with bidirectional sync — CRM updates flow back to your LexiFlow dashboard, so case data stays current across systems without duplicate entry.

Filevine

Clio Grow

Clio Manage

MyCase

Proof Points From the Live Workspace

Verifiable, not abstract

The materials LexiFlow provides do not include third-party customer testimonials or reviews. Instead, you can explore these results directly in the Rodriguez v. Mount Sinai workspace.

92/100

Merit score at intake with underlying vector breakdown

Flagged deposition contradictions with side-by-side citations

847

Discovery documents indexed, filtered to 6 responsive records

$4.2M

Estimated trial value, adjusting to $353K under California MICRA caps

All figures from the LexiFlow live demo workspace. Explore directly at lexiflow.co.

FAQ

Frequently asked questions

What is LexiFlow?

LexiFlow is an AI legal software platform that serves as an active case workspace for plaintiff firms. It combines AI-powered intake qualification, medical chronology, discovery analysis, settlement modeling, deposition preparation, and document drafting in a single environment. Document drafts, merit scores, and contradiction flags include source citations that link back to the original record.

Who is LexiFlow built for?

LexiFlow is built for plaintiff firms. Its homepage is demonstrated through a medical malpractice case (Rodriguez v. Mount Sinai), and its features — medical timeline analysis, deposition contradiction detection, jurisdiction-aware settlement modeling — are tailored to plaintiff workflows involving medical records and depositions.

Is LexiFlow HIPAA compliant?

Yes. LexiFlow signs BAAs with firms handling PHI, encrypts intake transcripts under HIPAA, protects medical records under BAA, and aligns with SOC 2 Type II security controls. Every AI action is logged in an immutable audit trail, and Filevine transfers are logged with timestamps and actor identities.

How does the AI Merit Score work?

Each 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 intake transcript. Scores of 80–100 auto-qualify; 50–79 are flagged for review.

How does Veritas detect contradictions in depositions?

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 source references).

Does LexiFlow integrate with my CRM?

Yes. LexiFlow has native API integrations with Filevine, Clio Grow, Clio Manage, and MyCase. Sync is bidirectional — updates flow between systems without manual re-entry.

Can I see where the AI got its information?

Yes. Statements in LexiFlow-generated demand letters carry source citations, and medical timeline entries and deposition contradictions link to their source pages or transcript lines as well.

Does the AI operate autonomously?

LexiFlow states that it does not. The platform includes built-in attorney-in-the-loop staging controls aligned with state bar ethics guidelines, so a qualified attorney reviews AI outputs before they are acted upon.

What does AI document drafting include?

The document workspace pre-populates demand letters with case facts, chronology, and liability analysis. Every statement in the draft carries a clickable source citation to the original medical record or deposition transcript.

What is AI medical chronology software?

AI medical chronology software automatically organizes a patient's complete treatment history by date, identifies clinically significant events and gaps, and links every entry to the source medical record. LexiFlow's medical timeline highlights issues such as a 14-hour gap between ER triage and antibiotic administration.

See the workspace in action

Explore the Rodriguez v. Mount Sinai live case — merit scores, contradiction flags, indexed discovery, and settlement models, all source-cited and verifiable.

Visit LexiFlow