Secure legal AI for medical records

Security matters, and so does being able to check the work.

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.

AES-256 at rest TLS 1.3 in transit Source-page verification, Ask PG with cited answers
What this page is for: legal ops, firm leadership, procurement, and attorneys who need a clearer answer than “we use AI securely.”

Infrastructure and access controls

The product should feel like firm software, not consumer AI.

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.

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

Identity and access

Organization-level isolation and secure access controls help keep access aligned with firm rules instead of open consumer-style accounts.

AI data handling

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

Security alone is not enough if the output still behaves like a black box.

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.

Encryption AES-256
Transit TLS 1.3
Verification 1 click

Output can be checked directly.

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.

Review stays with the legal team.

The product accelerates chronology, billing, and case-review workflows without removing attorney and paralegal judgment from the process.

Procurement questions become easier to answer.

Clear infrastructure, access, and data-handling language reduce ambiguity during internal evaluation.

What firms are really evaluating

Security questions are really trust questions.

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.

Plaintiff firms

Need confidence that cited chronology and billing work can move into demands and damages support without vague sourcing.

See the plaintiff-firm workflow.

Defense firms

Need controlled access and consistent, reviewable output across staff, offices, and repeated record-heavy matters.

See the defense workflow.

Feature evaluation

Need to understand the workflows the product is actually supporting, not just the infrastructure around them.

See medical record analysis.

Current security baseline

Plain-language security basics.

This page covers the security basics we can clearly stand behind today.

Secure cloud infrastructure AES-256 at rest TLS 1.3 in transit Organization-level isolation Secure access controls Multi-factor authentication AI does not train on customer data Unlimited users Audit-oriented workflow

External references

Public standards and guidance behind this page.

These outside sources anchor the security and AI-governance language on this site.

HHS HIPAA Security Rule

Sets the baseline for administrative, physical, and technical safeguards around protected health information.

ABA Formal Opinion 512

Explains that lawyers using generative AI still need confidentiality safeguards, supervision, and verification.

Next step

Use one real matter and ask the security questions early.

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.