Before interviewing car accident attorneys, assemble your timeline, calculate verified economic damages, redact private personal data, and export a clean dossier.
Informational & Organization Utility Only
This tool provides private document formatting and loss tracking. It does not provide legal advice, does not estimate lawsuit settlement value, and does not replace an accredited personal injury attorney licensed in your jurisdiction.
Consultation Dossier PreviewLive Draft
Timeline Milestones
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Total Tracked Losses
$0.00
Medical Incurred
$0.00
Property & Wages
$0.00
Client-Side PII Redaction Filter
Mask private data before exporting to prospective counsel
Loading dossier summary preview...
Incident & Treatment Chronology0 entries
Itemized Economic Losses0 items
Category
Provider / Vendor
Status
Amount
Attorney Interview Preparation Checklist
Ready to format and export dossier.
Key Questions When Choosing a Car Accident Lawyer
Ground your consultation in verifiable facts, trackable damages, and direct questions about trial experience and contingency fees.
What fee structure should I expect during a consultation?
Reputable motor vehicle accident attorneys typically operate on a contingency fee basis (standardly 33.3% pre-litigation and up to 40% if a lawsuit goes to formal trial). Confirm whether case expenses (expert witness fees, medical record copies, court filing fees) are deducted before or after the attorney's percentage.
Why is chronological timeline documentation vital?
Insurance adjusters look for treatment gaps and pre-existing injury ambiguities. An itemized timeline that pairs medical visits with specific accident symptoms prevents insurers from asserting that injuries occurred subsequent to the collision.
How does client-side redaction protect me?
Before an attorney-client relationship is formally established, sharing unredacted Social Security numbers, health insurance member IDs, or private claim PINs can expose sensitive identity data. Redacting non-essential credentials during exploratory calls safeguards your privacy.
Questions to ask a prospective attorney at your first meeting
1. Have you tried jury trials in this county court recently?
2. Will you personally handle negotiations or hand this to a junior associate?
3. What are the key liability obstacles or comparative fault arguments you anticipate?
4. How do you handle medical provider liens and health insurance subrogation claims?
What is comparative negligence?
Most jurisdictions follow either modified comparative negligence (barring recovery if you are 50% or 51% at fault) or pure comparative negligence (damages reduced by your fault percentage). Documenting eyewitness statements and road conditions immediately preserves defense against undue fault attribution.
Client-Side Loss Partitioning & Redaction Mechanics
How does this tool process economic losses and sanitize sensitive identifiers in your browser?
The tool operates entirely client-side, storing state in local JavaScript memory without transmitting entries over the network. It calculates total economic damages by partitioning recorded items into clinical medical costs and tangible property or lost-wage claims based on category substrings. When generating the consultation brief, regex pattern scrubbers mask Social Security numbers, telephone strings, email addresses, and claim identifiers before clipboard export or markdown file generation.
Calculations reflect pure arithmetic sums of entered dollar amounts and do not evaluate legal liability, comparative fault offsets, medical liens, health insurance subrogation rights, or pain-and-suffering general damages. Redaction uses fixed regular expression patterns that may fail to catch non-standard numbering schemes, unconventional formatting, or handwritten references.
Try a worked example
Click the red 'Reset' button to wipe initialized entries, reducing 'Timeline Milestones' to 0 and all damage counters to $0.00. Then click 'Load Realistic Sample': the script repopulates 5 milestones and 5 expense lines, aggregating $11,422.50 in Total Tracked Losses, $6,800.00 in Medical Incurred, and $4,622.50 in Property & Wages.
Loss Partitioning Logic
The script aggregates recorded financial entries into two main buckets: medical expenses versus property and wage losses. It categorizes an item as clinical medical loss if its selected category string includes 'medical', 'physio', or 'pharmacy', while assigning all remaining items—such as vehicle repairs, towing, rentals, and lost wages—to the property/wage bucket.
These sums are computed on every addition, deletion, or sample load using client-side JavaScript reduce functions, instantly updating the live preview without server communication.
Regular Expression Masking Pipeline
Before displaying the preview markdown or downloading the .md file, the application executes synchronous string replacements against sensitive fields. Standard patterns target 9-digit tax IDs, phone numbers with optional area codes, standard email syntax, and alphanumeric policy tokens prefixed with terms like CLM or POL.
Because sanitization is strictly regex-based, arbitrary text notes containing atypical formatting or non-standard identifier styles might bypass masking and must be manually reviewed prior to sharing.
Trace category totals, export mismatch and selective redaction
Read the explanation
This dossier is a local organizer for synthetic entered records, not verification of an accident, losses, liability or legal privilege. The default sample contains five expense records: emergency medical forty-eight hundred fifty, imaging nineteen hundred fifty, towing six hundred eighty, rental seven hundred forty-two point five and wages thirty-two hundred. They sum to eleven thousand four hundred twenty-two point five. The live dashboard puts the first two into medical, totaling sixty-eight hundred; the other three go into a residual property, rental and wage bucket, forty-six hundred twenty-two point five. Paid status does not remove an expense from either sum. The bars use point zero five pixels per dollar to display the two buckets on one scale. Removing a recorded item subtracts its amount and changes the ledger, but the tool does not judge recoverability, document authenticity or whether amounts belong in an actual claim. Category rules differ between live display and exports. The dashboard medical bucket matches category text containing medical, physio or pharmacy. Add a five-hundred-dollar Pharmacy and Equipment record and the live medical subtotal becomes seventy-three hundred, with residual forty-six hundred twenty-two point five and total eleven thousand nine hundred twenty-two point five. But the clipboard and Markdown download recompute medical using only medical or physio, omitting pharmacy. Their medical subtotal stays sixty-eight hundred and residual becomes fifty-one hundred twenty-two point five. The total is unchanged; five hundred moves between exported categories. The animated bars compare the live bucket to the exported bucket using the same dollar scale. This is an evidenced source inconsistency we preserve and report, not a change to the original page. Neither the live Verified Economic Losses heading nor exported wording establishes verification. Timeline records are sorted by their entered dates whenever the view renders. Adding an earlier milestone therefore moves it ahead of the five saved sample entries, making six. Four switches enable pattern-based masking for SSN or tax-ID-like strings, phones, claim or policy codes, and emails. The transformations apply only where the source calls its redaction function: party fields, timeline notes and expense references. Timeline titles, provider names and category strings are interpolated without that function. A matching email-like test token in notes may be masked while the same token in a title remains visible. Turning switches off restores those matched strings in regenerated output; it does not erase originals from the app state. This is selective presentation, not a guarantee that every identifier is removed. The local proof uses synthetic test tokens, actual native inputs, Clipboard and Markdown downloads and checks this limitation honestly. The sample button restores sample records, while Reset clears dossier records. Neither action sends a report, and the exported Confidential and Privileged caption cannot itself establish legal privilege.
