The time math
For a standard personal injury case with 500–1,000 pages of records, experienced paralegals typically spend one to three days on the chronology. For a catastrophic injury case with several thousand pages, that extends to a full week or more. At billing rates of $50–$120 per hour, a two-day chronology can cost $800–$2,000 before any attorney review.
Chronos reads every page of the uploaded records and produces an initial chronology — typically within an hour, regardless of page count. The paralegal or attorney then reviews, verifies, and supplements. Most firms report the combined AI-plus-review time is less than a single day, even on large cases.
Accuracy and verification
Manual chronology accuracy depends heavily on the individual reviewer's clinical literacy, attention to detail, and familiarity with the record formats. It's highly variable — an expert paralegal with medical terminology training is quite accurate; a generalist with hundreds of pages of handwritten notes is more likely to miss things.
Chronos extracts every event it finds and assigns a confidence score to each fact. Reviewers can filter to low-confidence items first — the ones the AI flagged as uncertain — instead of re-reading the entire file. The AI also detects treatment gaps and aggregates damages totals that would require manual spreadsheet work.
Cost comparison
Manual chronology cost is largely paralegal time. A two-day chronology at $75/hr billed time is roughly $1,200. On high-volume practices doing 20+ cases per month, that's $24,000+ monthly in paralegal chronology time alone — not including the opportunity cost of cases that wait while paralegals are tied up on records.
Chronos charges per case from $39, regardless of page count. Credits never expire and are shared across the firm. The per-case credit is predictable, which makes cost-per-case analysis straightforward when calculating case profitability.
When manual review is still the right call
For very short records — under 50 pages, a single ER visit — manual review is often faster than uploading and running AI. For records in unusual formats, heavily handwritten, or from non-standard medical systems, manual review by someone with clinical expertise may catch things the AI flags as low-confidence.
Most firms use a hybrid: AI for the initial extraction and structure, paralegal verification for accuracy and completeness, attorney review for clinical judgment. This combines the speed of AI with the accuracy of experienced human review.