Parambil
Parambil provides an AI-driven platform that reviews and synthesizes complex medical records for litigation, delivering verified facts with source citations. The system generates detailed chronologies, billing analyses, and draft legal documents to streamline case preparation for both plaintiff and defense teams. By automating data extraction and insight generation, it reduces review time and improves accuracy in medical‑legal disputes.
- Artificial Intelligence
- Data & Analytics
- Legal Technology
- Software Only
Funding
Raised to date
$8MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
across 2 rounds
DV$6M · Seed
Announced Jan 2026
Disclosed cumulative: $8M
Founders
Founder details are not available yet.
Product
Problem
Legal teams face challenges in efficiently reviewing and validating extensive medical records for tort law litigation, leading to time-consuming manual analysis and potential inaccuracies in case preparation. This can delay proceedings and impact the quality of information presented in court.
Solution
Parambil offers an AI-powered platform designed to automate the review and validation of medical records, providing precision analysis for litigation purposes. The software analyzes medical records and related information to ensure thorough review and verification. It delivers comprehensive timelines, on-demand insights, and citations to source data, enabling legal teams to refresh their understanding of the facts as new records are collected. By leveraging AI, Parambil helps collect trusted, verified case details at scale, informing resolution discussions with reliable data and strategic insights.
Target Audience
Parambil serves plaintiff law firms, defense law firms, insurance companies, defendants, the court system, and litigation finance firms involved in tort law litigation.
Features
- AI-driven medical record review and validation
- Comprehensive medical chronology generation with timelines and source citations
- Aggregate analytics for identifying case details at scale
- Case validation tools for go/no-go decisions
- Automated case work-ups for populating complaints, fact sheets, and settlement factors
- Document comparison to evaluate submitted documents against available evidence
- Causality literature analysis for quick insights