Specter

Trust and safety auditing for legal AI products.

The checkpoint before legal AI deployment — evaluating security, privacy, AI risk, and legal ethics in a single workflow.

Run an Audit

The Problem

Legal AI ships faster than it is reviewed.

The tools handling privileged client data today were often built without a structured review of their safety properties.

Legal AI products are being built and deployed at an unprecedented pace.

Most are never reviewed for security vulnerabilities, privacy violations, or attorney ethics risk.

In legal contexts, a trust failure means malpractice exposure, bar complaints, or client harm.

The Workflow

One input. One clear verdict.

Paste a GitHub URL. Specter handles everything else.

Submit a repository.

Paste a GitHub URL. Specter fetches and filters the relevant code automatically.

Specter analyzes the codebase.

Files are triaged and routed to the appropriate audit modules.

Four lenses. One audit.

Security, privacy, AI risk, and legal ethics are evaluated against OWASP, MITRE ATLAS, and ABA standards.

Clear verdict. Actionable findings.

Every finding is cited, classified by severity, and paired with a concrete remediation path.

Audit Coverage

Four lenses. One workflow.

Specter evaluates legal AI products across the full trust surface — technical and regulatory.

Security

Authentication gaps, exposed secrets, insecure endpoints, and dangerous storage configurations.

Privacy

Client data retention, cross-matter leakage, PII logging, and third-party data exposure.

AI Risk

Prompt injection, system prompt exposure, ungrounded legal outputs, and model misuse surfaces.

Legal Ethics

ABA Rule compliance, attorney supervision gaps, conflicts controls, and unauthorized practice risk.

Market Context

The legal AI market is accelerating.

$3.11B

Legal AI market

2025 estimate

$10.82B

Projected market

by 2030

+9.7%

Law firm tech spend

YoY, 2025

+10.5%

Knowledge mgmt spend

YoY, 2025

Why Specter

The audit layer legal AI has been missing.

Trust Layer

Specter is the checkpoint before legal AI deployment — not a replacement for the attorneys who review it.

Cross-Disciplinary Review

Security, privacy, AI risk, and legal ethics in one workflow. Not four separate reviews.

Built for Legal Contexts

Not generic code scanning. Audit logic grounded in OWASP, MITRE ATLAS, and ABA Model Rules.

Legal AI is scaling fast.
Specter helps make it trustworthy.

Launch Specter

Built at the Anthropic Hackathon · Grounded in OWASP, MITRE ATLAS, and ABA Formal Opinion 512