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Annual review labor capacity recovered
Reduction in manual review effort
Review time per case
A mid-sized U.S. personal injury law firm was operating in a document-heavy litigation environment where every injury matter depended on accurate medical chronology preparation. Case teams reviewed thousands of pages across ER visits, radiology reports, physician notes, SOAP notes, billing records, and follow-up care documentation.
What slowed the operation was not access to records; it was the manual effort required to interpret and sequence them. Paralegals and attorneys spent 10–15 hours per case extracting service dates, diagnoses, procedures, providers, care events, and treatment progression before the legal team could move into case preparation.
That delay created direct economic pressure. At a review cost of $100 per hour, the prior process represented up to $1,500 of review effort per matter before attorney analysis even began. With growing case volume, leadership needed a controlled, repeatable review model that could protect quality while removing avoidable manual effort.
Novacis Digital deployed iMRR (intelligent Medical Record Review) as a production-grade AI co-pilot for high-volume medico-legal review. The solution turns medical record packets from PDFs, faxes, and EHR exports into structured timelines that legal teams can search, validate, and use during litigation preparation.
iMRR works differently by interpreting medical records as connected case evidence rather than isolated documents. It classifies record types, extracts dates of service, diagnoses, ICD codes, CPT codes, provider details, visits, and care events, then organizes them into a chronological medical summary.
Its technical differentiation comes from medical-context-aware document intelligence, timeline assembly, and evidence traceability designed for real review workflows. Attorneys and paralegals remain in the loop to validate facts, confirm injury-to-treatment progression, and approve summaries before legal use.
The solution shifts the operating model from manual medical record reconstruction to attorney-controlled chronology validation.
Medico-Legal Review Capabilities
Litigation Readiness Features
Novacis Digital deployed the iMRR workflow through a focused 6-week pilot across an initial set of high-volume personal injury matters, then prepared the operating model for scale-up across additional case teams over the following 8–10 weeks. The initial rollout covered medical record packets received as PDFs, faxes, and EHR exports, with attorneys and paralegals validating AI-generated chronologies before litigation use.
Early wins included faster chronology creation, cleaner organization of medical facts, and improved reviewer confidence when tracing injury-to-treatment progression. The results directly addressed the firm’s core bottleneck: manual reconstruction of fragmented medical records was replaced with structured, attorney-validated chronology preparation.
~$1.4M annual review labor capacity recovered based on 14 hours saved × 1,000 matters × $100 blended review cost.
14 hours removed per case, moving review from 15 hours to 1 hour for chronology preparation.
Higher legal capacity for demand strategy, discovery preparation, and deposition planning without proportional staff growth.
High-volume record packets converted into validated medical timelines across PDFs, faxes, EHR exports, and core clinical notes.
Manual fact hunting reduced, allowing legal teams to spend more time on analysis and case strategy.
