Attorneys buried in paperwork

Your attorneys should be making decisions, not digging through paperwork.

An attorney bills at several hundred dollars an hour and spends a meaningful share of the week reading medical records to build a chronology, or scanning a police report for the detail that contradicts the other one. It is careful, necessary work. It is also work that a well-scoped system can do the first pass on.

Document AI that reads case files, medical records, and legal documents—building timelines, extracting the facts that matter, flagging inconsistencies, and putting a decision-ready summary on the attorney's desk instead of a banker's box.

Attorneys starting from a brief instead of a box of documentsBook a strategy call

What it's costing you

Every week this continues
  • Senior hours spent on first-pass document review
  • Timelines rebuilt by hand for every matter
  • Inconsistencies found late, when they are expensive to address
  • Case strategy waiting on paperwork nobody has finished reading
Sound familiar?
  • Personal injury and medical malpractice firms with heavy record review
  • Mass tort practices processing documents at volume
  • Firms where case strategy waits on document review

The complete solution

Everything included, end to end—one engagement, one outcome, no hourly menu.

Document AI that ingests and processes case files at volume
Medical record analysis with automatic chronology generation
Key fact extraction—parties, dates, injuries, treatments, amounts
Inconsistency and gap detection across documents in a matter
Decision-ready intelligence briefs written for the attorney, not the machine
Human review checkpoints on everything before it reaches a file

How we deliver it

01

Scope the documents

Which document types, which facts matter, and what a useful output actually looks like for your attorneys.

02

Build the pipeline

Ingestion, extraction, and summarization built and evaluated against real matters from your practice.

03

Review and calibrate

Attorneys review outputs against their own work until accuracy clears the bar. Nothing ships on a demo.

04

Deploy with oversight

Human review stays in the loop permanently. The system drafts; your attorneys decide.

Example use cases

  • Medical record chronologies for personal injury matters
  • First-pass review of high-volume discovery
  • Cross-document inconsistency detection
  • Intake-stage case value assessment

Built with

PythonLangChainNLPGenerative AIAWSCustom ML
FAQ

Questions, answered

What should your business stop doing manually?

Book a 30-minute strategy call. We'll identify the repetitive workflow costing you the most time or opportunity and map a practical path to automate it.

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