Flagship legal workflow system
Packet chaos.
Attorney-ready clarity.
LexPacket AI helps plaintiff firms turn PDFs, scans, medical records, insurance letters, notes, and spreadsheets into structured first-pass intake intelligence.
Chronology timeline generation
Missing records follow-up visibility
Attorney review human judgment stays central
AI-assisted workflow support. Attorney review required.
Rear-end collision with treatment records and visible packet gaps.
Evidence confidenceCitations clustered by source document and excerpt.
Missing recordsPhotos, wage documentation, and insurance details surfaced.
Next stepReview notes prepared for attorney verification.
Red flag surfaced
Impact speed inconsistency detected across packet sources.
Memo draft ready
Structured first-pass summary prepared for human review.
OCR scans/Medical records/Insurance letters/Chronologies/Missing records/Attorney memos/Confidence signals
Demo video
Watch a packet become a structured intake review.
See upload, processing, chronology, missing records, red flags, confidence signals, and attorney memo output in one guided workflow.
The intake reality
Legal intake packets are messy.
OCR scans. Duplicate files. Missing records. Mixed formats. Conflicting timelines. Insurance letters. Medical notes. Spreadsheets. Screenshots. Hundreds of pages.
LexPacket AI organizes the chaos into structured, attorney-ready intake intelligence.
The problem
Legal intake is still too manual.
Attorneys and intake teams spend hours manually reviewing PDFs, building timelines, identifying missing records, and preparing summaries before meaningful case evaluation can even begin.
Workflow
From packet upload to attorney-ready review surface.
LexPacket AI is designed for the messy materials firms actually receive: duplicate PDFs, scans, handwritten notes, medical summaries, carrier letters, spreadsheets, and screenshots.
Upload packet
PDFs, images, documents, spreadsheets, and notes enter one review flow.
Extract evidence
Dates, entities, treatment details, source text, and packet quality signals are identified.
Generate chronology
Known dates, unknown dates, treatment milestones, and follow-up items are sequenced.
Surface gaps
Missing records, unclear facts, contradictions, and follow-up priorities become visible.
Review memo
Attorney-ready review notes and memo output are prepared for human verification.
Differentiation
Built for real-world legal intake workflows.
LexPacket AI is designed for the packets firms actually receive, not a perfect demo folder with clean documents and obvious timelines.
Review intelligence
Everything important gets separated, labeled, and easier to inspect.
Events become a timeline.
Dates, unknown-date events, treatment milestones, and follow-up tasks are organized for review.
2026-02-14Collision report and medical record intake.
Unknown dateInsurance request for missing documentation.
Follow-up work becomes explicit.
Photos, wage records, carrier letters, locked files, low-confidence documents, and incomplete records are surfaced.
Critical: vehicle damage photos
High: wage loss records
Review: provider billing detail
Different uncertainty types stay separate.
OCR quality, evidence confidence, packet completeness, and legal certainty are not treated as the same signal.
OCRClean
EvidenceHigh
CompletenessMedium
Review surface
Workflow visibility without overwhelming the reviewer.
LexPacket AI focuses on a clear review surface: chronology, red flags, confidence signals, missing records, and memo-ready findings.
82%
Packet status is summarized before the reviewer dives into the details.
Records presentHigh
Chronology qualityMedium
Missing informationCritical
Dates become easier to review.
Known dates and unknown-date follow-ups are separated so the team can validate the sequence.
Follow-up work is prioritized.
Critical and high-priority gaps are explicit instead of buried inside the packet.
Red flags surface early.
Potential conflicts are shown for human review, not treated as legal conclusions.
Outputs
Structured deliverables for intake teams and attorney review.
Case summary
A concise first-pass description of the matter and review posture.
Facts and allegations
Key facts are separated from claims that require attorney validation.
Chronology
Dates, unknown-date events, treatment milestones, and follow-up items.
Parties and roles
Claimants, witnesses, carriers, adjusters, providers, and defendants organized by role.
Missing records
Important absent records surfaced with operational follow-up priority.
Attorney intake memo
Exportable memo output intended for internal review support and source verification.
Practice focus
Built for document-heavy plaintiff intake workflows.
Personal injury
Insurance claims
Disability claims
Workers comp
Property damage
Lemon law
Wrongful termination
Mass tort intake
Current status
MVP complete. Pilot discussions open.
LexPacket AI is being prepared for workflow demonstrations with plaintiff firms evaluating AI-assisted intake review.
MVP complete
Core intake packet processing, structured findings, and memo export are available for guided review workflows.
Regression testing active
Fictional benchmark packets are used to test extraction, contradictions, and missing records.
Pilot discussions open
Available for early conversations with firms evaluating intake workflow acceleration.
Pilot program
Currently onboarding pilot firms.
LexPacket AI is available for early workflow demonstrations and pilot discussions with plaintiff firms evaluating AI-assisted intake review.
Processing notes
Packet generations are counted per completed report generation workflow. Processing limits may apply for unusually large uploads, unsupported file structures, corrupted files, image-heavy packets, excessive repeated generation activity, or documents that cannot be reliably extracted or interpreted.
Request DemoResponsible AI
First-pass support, never legal judgment.
LexPacket AI helps organize packet materials, summarize extracted information, identify potential gaps, and prepare structured review outputs. Qualified legal professionals must review and verify all outputs before use.
Important disclaimer
LexPacket AI does not provide legal advice, does not form attorney-client relationships, and does not replace attorney review, professional judgment, legal analysis, or any duties owed by attorneys or legal professionals.
Outputs may contain inaccuracies, omissions, incomplete interpretations, extraction errors, OCR errors, formatting errors, or misclassified information.
Pilot program
Ready to see what your intake packet looks like after LexPacket AI?
Request a workflow demo and see how packet chaos becomes structured intake intelligence for attorney review.