IR™ Continuous Ownership · Powered by GRACI™ · Patent Pending · Prototype Built · West Oakland HQ
In-House Legal Ops · Attorney Work Product

No handoff
without a named owner.

Continuous ownership for high-stakes legal and enterprise work.

Every memo, contract, and filing your team touches, including AI-drafted work, has a named owner and a recorded sign-off before it goes out.

Gaps surface automatically before anything is treated as done, so high-stakes work moves forward with accountability intact.

$30M+
Enterprise Legal & Outside Counsel Spend / Company
2%
Allocated to Software
98%
Spent on People, Not Software
GRACI™ Protocol — LiveWork product check
// MEMO: Privileged_Analysis_v2.docx · AI-assisted
G
R
A
C
I
V
⚠ Flagged No attorney has signed off on v2. Held before it goes out.

Ownership Disappears at the Handoff

Enterprise legal teams spend $30M+ per company, but 98% of that budget funds human labor across scattered documents, client files, and outside counsel handoffs.

When work fragments across email, Slack, and AI tools, traditional ownership breaks down.

Three Steps.
No Ambiguity.

Ownership lives on the document itself, not in a separate spreadsheet. The system checks three conditions before work moves:

01 · Named

A named owner unblocks the handoff.

If no one is named to verify, the work can't move to review.

02 · Signed

A recorded sign-off unblocks "final."

Until the named attorney decides, it's not done.

03 · Changed

Any change after sign-off resets it.

Edit the work and the sign-off resets. The same happens when the rules it was approved under change: a new law or regulation, updated bar guidance, or a revision to your AI-use policy. The work pauses until it's checked again.

GRACI™ Protocol vs. Static GRC Tools

FeatureStatic GRC / Spreadsheet RACIGRACI™ / Ciph Lab
LocationLives in a spreadsheet, separate from the workAttaches directly to the live document, file, or deployment
TimingReviewed after the fact by compliance teamsFlags missing roles live, before sign-off occurs
VerificationBlurs tool approval with output verificationKeeps Governance (G) and Verification (V) explicitly named & distinct
After approvalSign-off stands even if the work changesRe-checks automatically when the work or the policy behind it changes
When rules changeOld approvals stand, unnoticedA policy update flags every approval made under the old version
EnforcementRelies on manual memory and email trailsEnforces live requirements before work can advance

Built for In-House Legal.

For Legal Ops teams and the attorneys whose work product carries the company's risk. Professional responsibility rules, including the ABA's 2024 guidance on generative AI, expect lawyers to supervise and verify AI-assisted work. When your AI policy changes, you see every approval it touches. IR™ Continuous Ownership shows who verified what, on which version, under which policy.

Attorney Work Product
Nothing goes out as final without a recorded sign-off.

Memos, briefs, and analysis carry a named author and a named reviewer, with a record of who approved which version.

AI-Assisted Drafting
A named owner for every AI tool, a named attorney for every output.

One person decides which AI tools are approved for the work. Another verifies the output before anyone relies on it.

Outside Counsel Handoffs
Ownership moves with the work.

When matters pass between your team and outside firms, every handoff has a named owner, so nothing depends on memory or an email trail.

Juanita Alvarez
Juanita Alvarez
Founder & CEO, Ciph Lab

"I didn't study this market from the outside — I lived it from the inside."

500+
IP portfolios managedRopes & Gray spinoff, clients incl. Google
$10M+
Outside counsel spend managed10 firms, Amazon Lab126
70%
Contract cycle time cutOkta

UC Berkeley BASIS AI Safety Fellow
Authored Figma's DSA Transparency Report
Speaker, AI in Legal Summit
Privacy & Compliance, Apple

Help Shape
IR™ Continuous Ownership.

We're inviting a small number of in-house legal and Legal Ops teams to pilot IR™ Continuous Ownership before general release: named owners attached to live documents and work product, with missing roles and sign-offs flagged before anything goes out, and approvals re-checked when your policy changes. Design partners get early access and a direct say in what we build next.

Book a 15-min Demo →

One Protocol.
Software That Enforces It.

Enterprise legal departments already spend $30M+ per company, yet only 2% of that spend is software. The rest pays people to coordinate work by hand: chasing reviewers, confirming sign-offs, re-checking drafts that changed. As AI drafts more of that work, coordination by hand stops being defensible. Bar guidance already expects lawyers to verify AI-assisted work, and broader AI regulation is coming.

Ciph Lab builds the software that enforces ownership at the point of work, three conditions the system checks before work moves:

Named

A named owner unblocks the handoff.

Signed

A recorded sign-off unblocks "final."

Changed

Any change to the work, or to the rules it was approved under, resets the sign-off and pauses the work.

Working prototype · Patent-pending enforcement approach · Policy-change re-verification · IR™ Readiness Score diagnostic live

We begin with in-house legal teams and attorney work product, then expand into Enterprise Legal Ops and Corporate Risk.

Proven inside legal departments first, the same protocol becomes the standard enterprises require of their outside counsel.