First AI medical summarization software for US personal injury attorneys
Learn how we helped PareIT develop an automated medical record summary platform using AI algorithms to sort legal case files and extract relevant data from medical records along with becoming a certified AWS partner.
40x
Faster medical summarization
3x
Cheaper than legals/clinicians
85%
AI-powered data accuracy
$10,000
Avg annual savings
BACKGROUND
About PareIT
pareIT, an automated medical record analysis company, has officially launched its platform, designed to revolutionize the medicolegal industry. Powered by AWS and Amazon Comprehend Medical, pareIT uses patent-pending AI and machine learning models trained on over a million medicolegal data points to automate case file analysis. The platform efficiently categorizes, sequences, and extracts key information from case files, reducing duplications and handling diagnoses, treatment recommendations, and handwritten records.
Traditionally, medical record summaries take days and cost thousands, relying on manual review. pareIT analyzes thousands of pages in as little as two hours at about a third of the cost. Specifically tailored for medicolegal cases, it’s ideal for personal injury, malpractice, criminal, and worker's compensation cases.
Founder Dr. Rami Hashish says:
“With pareIT, we’re setting a new technological standard, helping professionals reduce errors, save time, and cut costs.”
Traditionally, medical record summaries take days and cost thousands, relying on manual review. pareIT analyzes thousands of pages in as little as two hours at about a third of the cost. Specifically tailored for medicolegal cases, it’s ideal for personal injury, malpractice, criminal, and worker's compensation cases.
Founder Dr. Rami Hashish says:
“With pareIT, we’re setting a new technological standard, helping professionals reduce errors, save time, and cut costs.”
pareit.com
4,000%
Faster medical summarization
300%
Cheaper than legals/clinicians
800+
Hours saved for attorney yearly
$10,000
Avg annual cost savings per 1 medicolegal professional
PROJECT GOALS
Problems PareIT wanted to solve
1
Tons of documentation
Personal injury firms often receive hundreds (sometimes thousands) of pages of medical records per case (X-rays, lab results, physician notes, hospital discharge reports).
2
Time-consuming review
Manual sorting and summarizing these records can take days or weeks. The longer it takes to analyze them, the more billable hours are lost—or clients wait longer for updates.
3
Manual summarization gaps
Relying on paralegals or clinicians introduces potential for oversight or mistakes.
4
Inconsistent review standards
Different staff members may have different levels of expertise, leading to inconsistent summaries.
5
Multiple providers & formats
Records come from various healthcare providers, each with unique EHR systems and formats, sometimes including handwritten notes or scanned PDFs.
6
Difficult cross-referencing
Linking one record to another (e.g., “X-ray in Hospital A on 01/15/23” with “MRI in Clinic B on 02/20/23”) is cumbersome if done manually.
CHALLENGES
PareIT's Challenges
1
High volume data processing
PareIT needed to handle massive numbers of scanned, often handwritten medical documents. The AI solution had to extract details like diagnoses, treatments, and encounters with a high degree of precision to be legally defensible.
2
Regulatory & Security Requirements
As the platform manages protected health information (PHI), it had to meet strict data-security and privacy standards. The platform needed robust hosting and deployment on AWS while ensuring data encryption and secure access protocols.
3
Complex AI/ML integration
The system needed specialized AI models (Amazon Comprehend Medical plus custom ML pipelines) trained on vast medical/legal datasets. Aligning AI-driven summarization with real-time platform features (e.g., ReactSignalR for instant updates) posed a technical challenge.
Solutions
Solutions we delivered
Admin Dashboard for Cases
Since legal cases are the core component pareIT works with, we developed a detailed case-based management hub to track and adjust records.
It now helps admins to sort legal cases by status (created, analyzing, analyzed, in review), bulk edit and manage, or dive into each case separately.
It now helps admins to sort legal cases by status (created, analyzing, analyzed, in review), bulk edit and manage, or dive into each case separately.
Dashboard Panel for Users
Customers utilize pareIT for automated medical record summaries so they need to analyze their pipeline in detail.
That’s why we implemented a dashboard kanban panel which now highlights created, analyzing, analyzed, or required attention cases with a breakdown for each legal case.
This helped users to have full transparency into their processing workflows without any encapsulated data and with instant support service.
That’s why we implemented a dashboard kanban panel which now highlights created, analyzing, analyzed, or required attention cases with a breakdown for each legal case.
This helped users to have full transparency into their processing workflows without any encapsulated data and with instant support service.
Account Management & Settings
Profile & account management are vital for B2B SaaS platforms like pareIT.
Current payment methods, billing and history, subscription management, and account-based settings are the core features to have within your system.
So now users can manage multiple payment gateways, active subscriptions, view billing history, generate PDF invoices, and expert them easily with a single click ease.
Current payment methods, billing and history, subscription management, and account-based settings are the core features to have within your system.
So now users can manage multiple payment gateways, active subscriptions, view billing history, generate PDF invoices, and expert them easily with a single click ease.
Activity Customization
We crafted the Activity Customization module to empower users to tailor their workouts according to their specific needs and preferences. This feature ensures that each workout is aligned with the user’s personal goals, enhancing both the effectiveness and enjoyment of their training sessions.
- Set Goals: Define distance and duration
- Adjust Intensity: Target pace and calorie goals
- Music Integration: Connect music services
- Workout Types: Variety of training options
- Set Goals: Define distance and duration
- Adjust Intensity: Target pace and calorie goals
- Music Integration: Connect music services
- Workout Types: Variety of training options
Advanced Medical Record Search
Since both users and admins process thousands of records daily, advanced search functionality is a must.
We implemented multi-class and multi-component searching while now helps to look through:
- Legal cases & files
- Diagnoses
- Doctors
- Medical history data
- Case encounters
- AI-generated context.
We implemented multi-class and multi-component searching while now helps to look through:
- Legal cases & files
- Diagnoses
- Doctors
- Medical history data
- Case encounters
- AI-generated context.
AI Conversational Bot & Real-Time Support
Since the web platform is based on AI & ML algorithms, it made sense to power customer service bots with artificial intelligence as well.
That’s why we integrated AI Conversational tools and trained them on thousands of scenarios. This way AI bots can now support 95% of requests from users saving time for both customers & pareIT’s team.
That’s why we integrated AI Conversational tools and trained them on thousands of scenarios. This way AI bots can now support 95% of requests from users saving time for both customers & pareIT’s team.
Organization Dashboard
Since the AI-based platform needs to have a central control hub to analyze thousands of records processed by users, we implemented an admin dashboard.
This now helps pareIT management to track users, cases, case and subscription billing, purchase requests, bulk pages, and general information.
To work efficiently, we added search, sorting, and filter features that help narrow down and navigate through different types and classes or records in seconds.
This now helps pareIT management to track users, cases, case and subscription billing, purchase requests, bulk pages, and general information.
To work efficiently, we added search, sorting, and filter features that help narrow down and navigate through different types and classes or records in seconds.
Website Redesign
Prior to re-developing the complex web platform, the pareIT’s team asked to redesign their website making it ready for enterprise-level sales so it meets the corporate customer journey map from the beginning.
That’s why we re-designed the core pages based on React making it lightning-fast and responsive for most devices to ensure pareIT has a strong zero moment of truth before the visitors convert into platform users.
That’s why we re-designed the core pages based on React making it lightning-fast and responsive for most devices to ensure pareIT has a strong zero moment of truth before the visitors convert into platform users.
Results
Business results achieved
40x
faster medical summarization using the PareiT's intelligence platform compared to legals/clinicians who had to summarize cases manually.
3x
Cheaper medical summarization compared to legals/clinicians using ML-powered algorithms. Now it takes $300/1,000 pages compared to ~$1,100 per 1,000 pages before.
$12,000
Average annual savings using PareIT compared to clinicians/legals given the avg number of 200 pages per case.
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