Decision Intelligence and Managed AI Agents for the General Counsel Office

Rehearse the testimony, litigation statement, or settlement language against simulated cohorts before it goes on the record. Automate the contract, compliance, and document workflows that don't.

The General Counsel office sits at the intersection of two distinct AI needs. The first is decision intelligence on legal communications: testimony before a regulator, statements about active litigation, settlement announcements, and regulator-facing positioning where every word becomes part of the public record under hostile reading. Isaiah rehearses these candidate communications against simulated cohorts — the lead regulator, plaintiff's counsel, oversight committees, parallel regulators, the legal press — before they ship, so the GC and outside counsel can refine language with evidence about how each audience will receive it. The second is enterprise-safe managed AI agents for the contract, compliance, document review, and policy-lookup workflows that make up the bulk of the legal organization's day-to-day load. Beth (in build) handles those at scale with CISO-grade governance — explicit permission scopes, full action logs, deterministic guardrails — so the GC can adopt AI without ceding the audit posture or the privilege protection the legal organization requires.

What General Counsels Care About

01

Pre-statement rehearsal of regulatory testimony, litigation communications, and settlement announcements against simulated regulator, plaintiff-counsel, and legal-press cohorts

02

Cross-artifact consistency checks between public statements, SEC 8-K disclosures, customer-facing FAQ language, and internal employee communications on the same legal matter

03

Privilege protection: Isaiah and Beth deployments configurable to run inside privileged work-product environments (VPC, on-premise, air-gapped)

04

Contract review, compliance monitoring, document review, and policy-lookup automation with full audit trails — Beth-aligned

05

Multi-jurisdictional regulator handling (DOJ, SEC, FCA, MAS, EU CMA, sectoral regulators) with cohort-level intelligence per jurisdiction

Metrics That Matter

Days → hours
Pre-statement rehearsal cycle compression
8–18+
Regulator and litigation cohorts modeled
4+ artifacts in lockstep
Cross-artifact consistency check
Up to 85% time reduction
Document/contract review acceleration (Beth)

Common Concerns

AI in the legal organization is a privilege and confidentiality risk.

Isaiah and Beth both support deployment postures (VPC, on-premise, air-gapped) that allow them to run inside the privileged work-product environment. The output of Isaiah sessions is treated by customers as work-product alongside the rest of their litigation-comms or testimony-prep materials. Customers should consult their own counsel on privilege scope for their specific jurisdiction; we provide the deployment posture that makes that consultation an easy yes.

How does Isaiah fit alongside outside litigation counsel and our PR firm's litigation-comms practice?

Isaiah doesn't replace either. Outside counsel owns the legal strategy and the disclosure scope; the PR firm's litigation-comms practice owns the press relationships and the day-of execution. Isaiah adds the simulation layer underneath both — the candidate statement, refined by both counsel and the PR team, gets pressure-tested against simulated cohort reactions before delivery.

We use Kira, Luminance, Harvey, or another contract AI tool already.

Beth (in build) is differentiated on the managed-and-governed angle for high-stakes enterprise legal ops, not on raw contract-review accuracy. The decision often comes down to deployment posture (VPC, on-prem, air-gapped), CISO governance posture, and the integration with the rest of the enterprise stack. Many enterprises end up running multiple legal AI tools in parallel for different workflows; the Beth pilot scoping conversation maps the specific surfaces where Beth's posture is the differentiator.

How does Huper align with EU AI Act and emerging AI regulation?

Huper's products are built with AI-governance regulation in mind from the deployment-posture layer — explicit permission scopes per user, full action logs, deterministic guardrails, configurable human-in-the-loop, transparency over agent decision trails. EU AI Act risk classification is mapped into the deployment configuration during enterprise onboarding; documentation suitable for regulator review is generated as part of the standard deployment package.

Why General Counsels Choose Huper

Rehearse regulatory testimony, litigation statements, and settlement communications against simulated cohorts before they go on the record

Catch admissions risk in candidate statements before plaintiff's counsel does — the phrasing legal-team review missed but that opposing counsel will treat as a material concession

Cross-artifact consistency check across public statements, SEC 8-K language, customer FAQs, and internal communications — surfaces inconsistency before opposing counsel pulls it

Beth (in build): contract review, compliance monitoring, document review, and policy-lookup automation with audit-grade decision trails and CISO-reviewable deployment posture

VPC, on-premise, and air-gapped deployment options compatible with privileged work-product environments

Frequently Asked Questions

What about attorney-client privilege on the simulation outputs?

Litigation communications work is typically conducted under privilege, with general counsel or outside counsel directing the comms team's drafting process. Isaiah supports deployment postures that allow it to run inside the privileged work-product environment. The output of Isaiah sessions is treated by customers as work-product alongside the rest of the litigation-comms preparation. Customers should confirm privilege scope with their own counsel for their specific jurisdiction.

Can Isaiah model parallel regulatory and shareholder-derivative risk?

Yes. Many high-stakes litigation matters generate parallel regulatory inquiries and shareholder-derivative claims that follow the company's public statements about the underlying matter. Isaiah configures parallel-proceeding cohorts (DOJ, SEC, state AGs, derivative plaintiff archetypes) so the simulation surfaces where the candidate statement signals enforcement priorities or invites derivative claims that the company would prefer to avoid.

How does Beth handle contract review at enterprise scale?

Beth (in build) is enterprise-safe managed AI agents — purpose-built for the deployment posture and audit governance the legal organization requires. The contract review use case is one of several Beth surfaces; see /use-cases/contract-analysis and /use-cases/document-review for the workflow detail. Beth pilots typically start with a single high-volume contract or document workflow and a defined audit posture.

How do we get started?

An Isaiah pilot for the legal-communications side typically starts with a single upcoming testimony engagement, settlement-statement scenario, or active litigation-update under privilege — and a defined set of regulator/oversight/opposition cohorts. A Beth pilot for the contract/compliance/document-review side typically starts with a single high-volume workflow and a defined deployment posture. Both pilots typically run in 3–6 weeks including security review, cohort or workflow design, and outside-counsel coordination on privilege scope. Start at huper.technology/engage.

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