AI for personal injury law

• Medical record review

  Parse and summarize medical records from thousands of client files to identify key injuries, treatments, and prognoses.

• Accident timelines

  Generate timelines of accident events based on police reports, witness statements, and client narratives.

• Settlement valuation

  Extract data from insurance documents to calculate potential settlement values and compare against historical firm cases.

• Deposition analysis

  Analyze deposition transcripts for inconsistencies or strengths in witness testimonies.

• Damages exhibits

  Create charts visualizing injury severity, medical costs, and lost wages for demand letters or court exhibits.

• Demand letter drafting

  Draft customized demand letters by pulling relevant facts from case files.

• Negotiation modelling

  Simulate negotiation scenarios by analyzing past settlement data stored locally.

• Expert report patterns

  Identify patterns in expert reports to flag potential medical malpractice overlaps.

• Redaction for co-counsel

  Redact sensitive personal information from documents for sharing with co-counsel.

• Outcome prediction

  Predict case outcomes by training on anonymized past verdicts and jury awards.

• Intake triage

  Automate intake forms analysis to prioritize high-value cases.

• Injury diagrams

  Generate visual aids like injury diagrams from descriptive reports.

• Limitations research

  Summarize legal research memos on statutes of limitations specific to injury types.

• Causation cross-referencing

  Cross-reference client symptoms with medical databases (local copies) for causation arguments.

• Evidence compilation

  Compile evidence lists from scanned photos, videos, and reports.

How this works for personal injury firms