Data protection
Paralegal Genius uses secure cloud infrastructure with AES-256 encryption at rest and TLS 1.3 in transit.
- Secure cloud infrastructure
- AES-256 at rest
- TLS 1.3 in transit
Secure legal AI for medical records
Paralegal Genius is built for litigation teams handling sensitive medical records. That means controlled access, clear security basics, and cited output your team can verify before using it in chronology, billing, case review, or deposition prep.
Infrastructure and access controls
For litigation teams, the basic questions are straightforward: where the data lives, how it is protected, who can access it, and whether the workflow keeps the team in control.
Paralegal Genius uses secure cloud infrastructure with AES-256 encryption at rest and TLS 1.3 in transit.
Organization-level isolation and secure access controls help keep access aligned with firm rules instead of open consumer-style accounts.
AI does not train on customer data. That matters when firms want to use AI workflows without contributing their case materials to model training.
Why this is a legal-buying issue
Generic AI concerns are not only about data handling. They are also about output you cannot easily check. For legal work, trust comes from protecting the data and letting your team check key facts at the source page.
Every cited result gives the reviewer a faster path back to the source document instead of asking them to trust a polished summary on its own.
The product accelerates chronology, billing, and case-review workflows without removing attorney and paralegal judgment from the process.
Clear infrastructure, access, and data-handling language reduce ambiguity during internal evaluation.
What firms are really evaluating
Buyers are usually deciding whether this can be used on real matters, whether access is controlled well enough, and whether the output is reliable enough to use.
Need confidence that cited chronology and billing work can move into demands and damages support without vague sourcing.
Need controlled access and consistent, reviewable output across staff, offices, and repeated record-heavy matters.
Need to understand the workflows the product is actually supporting, not just the infrastructure around them.
Current security baseline
This page covers the security basics we can clearly stand behind today.
External references
These outside sources anchor the security and AI-governance language on this site.
Sets the baseline for administrative, physical, and technical safeguards around protected health information.
Gives a public framework for building AI systems that are governable, explainable, and easier to evaluate.
Explains that lawyers using generative AI still need confidentiality safeguards, supervision, and verification.
Next step
The fastest way to evaluate fit is still one real case, one reviewable output set, and a direct conversation about your firm’s access and data-handling needs.
Related reading: Source-Grounded AI, Medical Record Analysis, Generic AI comparison, and Hospital In-House Counsel.