Legal teams today face a surge in document volume — particularly in litigation and compliance-intensive matters. Conventional document review and data extraction methods are no longer sustainable at scale.
| Medical Record Review | Systematically organize and analyze complex patient records by provider, timeline, and document type significantly reducing preparation time for legal proceedings. |
| Mass Tort Document Review | Identify disease mentions, medical conditions, and supporting evidence across large document sets using AI-powered entity recognition at scale. |
| Legal Document Processing | Rapidly process high-volume legal document collections and surface key insights to accelerate case preparation timelines. |
| Contract Review & Analysis | Automatically extract clauses, obligations, and critical terms to reduce risk and expedite contract review cycles. |
| Compliance & Regulatory Tracking | Monitor obligations and regulatory requirements with structured, auditable outputs that simplify reporting processes. |
| Due Diligence & Investigations | Efficiently review thousands of documents during M&A transactions or investigations using advanced legal NLP capabilities. |

in legal document classification

Document review cycles

US-based data infrastructure

cloud or on-premise deployment
Leading legal firms streamlined and accelerated their document processing workflows with rannsCDE, an AI-powered legal document data extraction system.

Manual sorting of medical records for litigation caused significant delays — legal teams spent up to 3 days per batch without an automated system.

Infognana deployed rannsCDE using NLP and intelligent extraction to classify and group medical records, streamlining legal workflows and reducing manual effort.

5× faster document review | 98.5% accuracy | 65% cost savings

Manually reviewing mass tort claims and legal documents was inconsistent and time consuming, increasing error risk and delaying decisions.

Infognana implemented rannsCDE with NER (Named Entity Recognition) and evidence extraction models to support comprehensive mass tort document review.

5× faster document review | 99% evidence identification accuracy | 70% cost savings
See how rannsCDE can reduce review time, improve accuracy, and scale your legal operations.

Role-Based
Access Control

Detailed
Audit Logs

End-to-End Data
Encryption

Cloud/On-Premise
Flexible Deployment
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