Pen testing · SaaS & technology
Penetration Testing for Legaltech Companies
Penetration testing for a legaltech company has to answer one question a generic web-app test never asks: can privileged matter data cross a boundary it shouldn't, whether that boundary sits inside your document-management integration, your e-discovery pipeline, or the LLM behind a drafting feature. Most legaltech companies commission a test when a firm's procurement process asks for evidence, before a new AI feature ships, or ahead of a SOC 2 or ISO 27001 audit.
Reviewed by the Privacy Horizon team · Last reviewed
What you're protecting
What penetration testing has to probe in a legaltech product
Findings need to speak to the specific failure modes that expose matter data, not a generic vulnerability list.
Tenant isolation across firm accounts
Whether one firm's matters, documents or conflicts data can be accessed from another tenant's session, the single most consequential finding a multi-firm platform can produce.
DMS and practice-management integration endpoints
API connections into iManage, NetDocuments, Clio or Cosmolex, tested for authorization flaws that would let a compromised session pull documents beyond its intended matter.
The AI drafting or research feature
Prompt-injection and data-exfiltration paths around the LLM integration, including whether a crafted input can surface another matter's content in a response.
E-discovery export and production controls
Whether production and export functions in a Relativity-class workflow enforce matter-level access correctly under adversarial conditions.
Billing and trust-ledger functions
Whether billing and trust-ledger functions resist manipulation that could redirect funds or falsify a reconciliation record.
Client portal and e-filing integrations
Authentication and authorization on client-facing portals and court e-filing connections, where a flaw exposes identity documents or publication-ban material.
Regulatory map
Why a law firm's checklist asks for pen-test evidence specifically
Testing evidence answers a line item most firms now include by default, drawn from the same guidance that shapes their broader review.
LSBC's cloud due-diligence expectations
British Columbia's checklist asks lawyers to consider a vendor's security testing practices as part of assessing whether client data is adequately protected.
FLSC's competence-commentary standard
The Model Code's commentary on competence expects lawyers to understand the risks of the technology they use, and a documented pen test gives a firm's reviewer something concrete to evaluate against that duty.
SOC 2's testing expectations
The AICPA Trust Services Criteria expect evidence of vulnerability and penetration testing as part of demonstrating an operating security program, feeding directly into any SOC 2 report a firm asks to see.
PIPEDA's reasonable-security expectation
PIPEDA's safeguarding principle expects protection proportionate to the sensitivity of the data, and privileged matter content sits at the high end of that scale.
What goes wrong
What legaltech penetration testing is designed to catch
The findings that matter most are the ones that would turn into a privilege problem, not just a security incident.
Credential and session weaknesses
Practice-management logins without MFA and session-token handling flaws mirror what happened in Okta's 2023 support-system incident, where stolen tokens bypassed MFA entirely.
Third-party and file-transfer components
Any managed file-transfer or third-party component in your stack carries the same exposure the 2023 MOVEit campaign demonstrated at scale, documented by CISA as an actively exploited pattern.
AI feature data leakage
A drafting assistant that can be prompted into surfacing another matter's content, or that retains prompts longer than a zero-retention agreement promises, fails the exact scrutiny the LSO's generative-AI white paper anticipates.
Cross-tenant access flaws
An authorization bug that lets one firm's session reach another firm's conflicts data is a privilege and confidentiality event even when no file content is exposed, since the metadata alone reveals a client relationship.
Our pen testing for legaltech companies
What our penetration testing covers for a legaltech platform
Testing scoped to the integrations, AI features and multi-tenant boundaries that carry the most consequence if they fail.
Application and API testing
Testing across your core application and its APIs, including the endpoints your DMS and practice-management integrations depend on.
Multi-tenant boundary testing
Focused testing of tenant isolation, since a cross-tenant flaw is the finding most likely to end a firm's due-diligence review immediately.
AI feature testing
Prompt-injection and data-leakage testing against any AI drafting or research feature, assessed against the retention and isolation claims made to firm customers.
Authenticated and unauthenticated testing
Testing from both an anonymous and a logged-in perspective, covering the access levels an actual matter-file user or an attacker with stolen credentials would have.
Findings written for procurement, not just engineering
A report structured so a firm's procurement or security reviewer can read the findings and remediation status directly, not just your development team.
How the engagement runs
How a legaltech penetration test runs
Scoped to fit around a live deal or audit deadline where one exists.
Step 1
Scope against your integrations
We map your DMS, practice-management and AI integrations to define what needs testing and what a firm's specific checklist expects to see covered.
Step 2
Test under controlled conditions
Testing runs against a defined environment, avoiding disruption to live matter data while still exercising realistic attack paths.
Step 3
Deliver findings and retest
Findings are prioritized by consequence, a cross-tenant flaw ranks above a low-severity configuration issue, with retesting available once fixes are in place.
Step 4
Package evidence for procurement
A summary suitable for a firm's due-diligence file, alongside the full technical report your engineering team needs to act on.
What it costs
What drives penetration testing cost for a legaltech company
Cost depends on how many applications, APIs and integrations are in scope, whether an AI drafting or research feature needs dedicated testing, and how thoroughly multi-tenant boundaries need to be exercised across firm accounts.
A single-product platform with one AI feature costs less to test than a suite spanning practice management, e-discovery and a client portal. We scope and quote after reviewing your architecture and the specific evidence a firm or auditor is asking for.
Legaltech Companies: Pen testing questions, answered
A general web-app test alone will miss the finding that matters most in legal software: whether one firm's matter documents can be reached through another firm's session. Testing needs to specifically exercise the authorization logic behind your DMS integration, not just the application's outer surface.
Testing includes prompt-injection attempts designed to surface content from other matters or other tenants, checks on whether retention settings match what a zero-retention API agreement promises, and review of whether the feature's outputs could reveal privileged material to an unintended recipient. This sits alongside standard application testing rather than replacing it.
Firms generally want a recent report showing the scope tested, the findings, their severity, and remediation status, not just a certificate. A summary written for a non-technical reviewer, backed by the full technical report if their own security team asks for it, moves through a firm's checklist faster than a report built only for engineers.
Annually at minimum, and again after any material change, a new AI feature, a new DMS integration, or a significant architecture shift, since a firm's due-diligence process will ask how recent your evidence is and what it actually covers.
Yes, where that workflow is part of your product. Production and export functions in an e-discovery pipeline carry their own access-control risks distinct from a typical application feature, and testing scoped to include them catches authorization gaps a general test would miss.
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