Cogneros Node
Private intelligence can live inside your firm.
A managed local AI appliance deployed inside the firm's environment for private model inference and secure processing.
Private AI built from everything your firm knows.
Decades of documents, work product, research, and correspondence become secure institutional intelligence — retrievable in seconds, cited to its source, and available only to the people your firm authorizes.
- Firm-controlled knowledge
- Permission-aware access
- Local AI inference
SystemLive
- Firm DocumentsApproved repositories184,206
- Cogneros KnowledgeStructured corpus1,340 matters
- Cogneros SearchPermission-aware retrievalhybrid
- Cogneros NodePrivate inference8 active
- AttorneyReviews and directsverifies
- Cogneros DraftNew work productcited
egress · policy-bound0 findings
Your firm already owns the intelligence.
Decades of judgment are recorded in work the firm has already been paid to produce. It is not missing. It is simply unreachable at the moment someone needs it.
The problem is not a lack of information. The problem is making accumulated experience instantly usable without sacrificing control, confidentiality, or permissions.
- Reports and filings
- Contracts and agreements
- Research and analysis
- Client correspondence
- Matter and engagement folders
- Shared drives
- Templates and forms
- Individual desktops
- Previous engagements
- Completed work product
Today
- Search folders
- Ask whoever was there
- Reconstruct previous work
- Locate precedent
- Start again
Five moves, each one dependent on someone's memory.
With Cogneros
- Ask
- Retrieve
- Verify
- Draft
Four moves, each one traceable to a source.
One private platform. Five connected systems.
Each system is useful on its own. Together they form a single loop: the firm's work becomes findable, what is found becomes the basis for new work, and every step of it stays inside a boundary the firm governs.
Cogneros Control
Govern the firm's private AI environment.Cogneros Knowledge
The firm's accumulated experience, made usable.
Indexes approved institutional knowledge and preserves the structure, context, metadata, and permissions that make it worth keeping.
Holds the corpus
Cogneros Search
Ask the firm, not the folder structure.
Finds relevant firm work through natural-language, semantic, lexical, metadata, and matter-aware retrieval — with every answer traced to its source.
Finds the precedent
Cogneros Draft
Draft from what your firm already knows.
Creates new work from relevant precedent, firm templates, matter context, and verified sources — with the person responsible in the loop throughout.
Produces the work
One platform, shaped to the work.
The platform does not change between firms. What changes is the vocabulary, the document types, and the questions people already ask each other in the hallway.
Whatever your firm calls the unit that scopes access — a matter, an engagement, a project — Cogneros treats it as the boundary that governs who can retrieve what.
Legal
Available nowPrecedent discovery, drafting from prior filings, and institutional memory across everything the firm has already argued.
“Have we argued this issue before?”
Matters contain
- Briefs and pleadings
- Contracts and clause libraries
- Research memoranda
- Engagement letters
Accounting
In designPrior-year workpapers, technical positions, and the reasoning behind treatments the firm has already defended.
“How did we treat this last time, and why?”
Engagements contain
- Workpapers and schedules
- Technical memoranda
- Client correspondence
- Engagement documentation
Consulting
In designProposals, methodologies, and deliverables from past engagements, reusable without re-solving the same problem.
“What did we propose for a client like this?”
Engagements contain
- Proposals and statements of work
- Frameworks and methodologies
- Client deliverables
- Research and benchmarks
Cogneros Legal is the vertical in production today. The others are in design — described here so firms can see where the platform is going, not sold as something you can buy this quarter.
See Cogneros LegalRetrieve first. Then draft.
Someone asks a question in the firm's own terms. Cogneros returns what the firm has actually produced — the matter, the page, the language it used. Only then does drafting begin, grounded in those sources, each one traceable.
Shown here in Cogneros Legal, the vertical in production today. The same two stages run over an accounting firm’s workpapers or a consultancy’s past engagements; only the vocabulary changes.
CognerosRutherford Manufacturing v. Calder · M-2291 · E. VasquezDemo
Find our strongest Colorado arguments involving enforcement of non-compete provisions and identify the language we have used successfully before.
Permission-aware · 8 matters in scopehybrid retrieval · semantic + lexical4 sources
What the firm has argued
Across four Colorado matters, the firm's most durable position has been narrow-tailoring: arguing the restriction is reasonable in duration, geography, and scope before reaching the statutory exception.
In each matter that resolved favorably, the brief led with the employer's legitimate protectable interest — trade secrets and customer relationships — and treated the non-compete as the narrowest available remedy rather than the first one.
Two matters relied on the same severability framing, asking the court to blue-pencil the geographic term rather than void the covenant entirely.
Sources
Response in Opposition to Motion for Preliminary Injunction
96%- Type
- Brief
- Matter
- Rutherford Manufacturing v. Calder
- Matter ID
- M-2291
- Author
- E. Vasquez
- Date
- 2024-03-18
- Pages
- pp. 11–14
The covenant is limited to the eighteen months following separation and to the four counties in which the employee held account responsibility, and is therefore no broader than necessary to protect the customer relationships the employer developed at its own expense.
M-2291 · Brief · pp. 11–14Open SourceMemorandum in Support of Enforcement
91%- Type
- Memorandum
- Matter
- Halcyon Logistics — Departing Sales Director
- Matter ID
- M-1984
- Author
- D. Okonjo
- Date
- 2023-09-07
- Pages
- pp. 4–9
Where the restriction protects trade secrets rather than ordinary competition, the reasonableness inquiry should begin with the protectable interest and only then reach duration and geography.
M-1984 · Memorandum · pp. 4–9Open SourceEmployment Agreement — Restrictive Covenants (Art. 9)
88%- Type
- Contract
- Matter
- Meridian Health Partners — Physician Agreements
- Matter ID
- M-2077
- Author
- K. Lindqvist
- Date
- 2024-11-02
- Pages
- Art. 9, p. 22
If any portion of this Article is held unenforceable, the parties intend the court to reform rather than void the provision, enforcing it to the greatest extent permitted by Colorado law.
M-2077 · Contract · Art. 9, p. 22Open SourceResearch Memo — Statutory Exceptions After Recent Amendments
84%- Type
- Research
- Matter
- Firm Knowledge — Employment
- Matter ID
- M-0043
- Author
- S. Brennan
- Date
- 2025-01-22
- Pages
- pp. 2–6
Compensation thresholds and the trade-secret exception should be pleaded in the alternative; treating either as dispositive has produced weaker outcomes in our prior filings.
M-0043 · Research · pp. 2–6Open Source
4 sources selected
Demonstration content — fictional matters
Demonstration interface. Matters, clients, attorneys, documents, and excerpts shown here are fictional and do not describe real cases or client work.
Your firm's accumulated experience becomes an asset.
A closed matter is not finished work. It is a record of how the firm thought about a problem, what it concluded, which language survived scrutiny, and who did it.
Cogneros Knowledge takes approved firm content and keeps the context that makes it worth returning to — the matter it belongs to, who wrote it, when, under which jurisdiction, which version was final, and who is allowed to see it.
The permissions that governed the original document travel with it. Nothing becomes more visible inside Cogneros than it was in the repository it came from.
Memorandum in Support of Enforcement
M-1984 · pp. 4–9
- Matter
- Halcyon Logistics — Departing Sales Director
- Client
- Halcyon Logistics
- Document type
- Memorandum
- Author
- D. Okonjo
- Date
- 2023-09-07
- Jurisdiction
- Colorado
- Source
- Firm shared drive · /Matters/M-1984
- Version
- Final as filed (v4)
- Permissions
- Employment group · 6 people
Related work
- Response in Opposition — M-2291
- Employment Agreement, Art. 9 — M-2077
- Research memo, statutory exceptions — M-0043
Find what the firm already knows.
People ask in the language they already use with each other. Cogneros Search resolves the question against the firm's own record rather than against a folder tree.
- Have we argued this issue before?
- Find our strongest termination provisions.
- Show me engagement letters used for private-equity clients.
- What position have we previously taken on this clause?
- Find motions involving this judge.
- What have we previously argued about this damages theory?
- Permission awareness
- Results are filtered by what the person asking is already entitled to see. Retrieval never becomes a way around access control.
- Matter context
- A question asked inside a matter or engagement is answered with that engagement's context and history in view.
- Source linking
- Every result names the document, the matter, the author, and the page — and opens the original.
- Institutional history
- Positions the firm has taken before are retrievable as positions, not as loose files that happen to contain a keyword.
Every important answer should lead back to the source.
Start from precedent, not from zero.
Drafting begins after retrieval, not before it. The person drafting decides which of the firm\u2019s prior work the document is allowed to stand on.
Document types
- Reports
- Proposals
- Contracts
- Correspondence
- Memoranda
- Client updates
- Filings
Cogneros does not send anything and does not sign off on anything. Verification is a required step in the workflow, not a disclaimer at the end of it.
- 01
Select the matter
The engagement’s context, parties, and history come with it.
- 02
Select document type
Report, proposal, contract, memorandum, correspondence.
- 03
Retrieve relevant precedent
The firm's own filings, ranked and permission-filtered.
- 04
Review sources
The professional confirms what the draft may rely on.
- 05
Generate outline
Structure first, so the argument is visible before the prose.
- 06
Draft
Sections are written against the approved sources only.
- 07
Verify sources and citations
Each assertion resolves to a document and a page.
- 08
Export
DOCX, into the workflow the firm already uses.
Private intelligence can live inside your firm.
Cogneros Node is a managed local AI appliance deployed inside the firm's environment. It gives the firm somewhere to run sensitive work that is neither a laptop nor someone else's data centre.
Sensitive work does not need to become someone else’s training data.
Cogneros supplies, deploys, and manages the appliance as a product. The firm does not select hardware, install models, or maintain the machine — and Cogneros does not manufacture the computer inside it.
Deployment
Managed
Inference
Local
Egress
Policy-bound
- Local model inference
- Approved models run on the appliance itself, inside the firm's own environment.
- Encrypted temporary processing
- Retrieved context is held only for the work in front of it, then released.
- Managed model updates
- Versions are staged, verified, and promoted without an administrator scheduling the work.
- Secure connectivity
- Private networking to approved Cogneros services, and nothing else by default.
- Automated health monitoring
- The appliance reports its own condition continuously and repairs what it can.
- Controlled cloud access
- External models are reachable only where firm policy explicitly allows it.
Control the intelligence layer.
Cogneros Control is where the firm decides who may see what, which models may be used, and how the environment behaves — and where it can prove, afterwards, what happened.
- Users and roles
- Matter and engagement access
- Devices and Nodes
- Model configuration
- Ingestion status
- Audit logs
- Alerts
- System health
Cogneros ControlFirm environment · 3 sites · automated operationDemo
- Attorneys
- 8
- 6 active this week
- Active Nodes
- 8
- All healthy
- Documents indexed
- 184,206
- +1,412 this week
- Matters mapped
- 1,340
- 97% permissioned
Cogneros Nodes
8 of 8 reporting| Node | Site | Load | Model |
|---|---|---|---|
| DEN-01 | Denver | 34% | 3.1.4 |
| DEN-02 | Denver | 51% | 3.1.4 |
| DEN-03 | Denver | 22% | 3.1.4 |
| BOU-01 | Boulder | 47% | 3.1.4 |
| BOU-02 | Boulder | 19% | 3.1.4 |
| CSP-01 | Colorado Springs | 29% | 3.1.4 |
| CSP-02 | Colorado Springs | 8% | 3.1.3 |
| RMT-01 | Remote | 40% | 3.1.4 |
Operations
automated · 0 awaiting actionDemonstration content — fictional matters
The environment runs itself, and writes down what it did.
- 01
Detect
Conditions are noticed by the system, not by a person watching a screen.
- 02
Diagnose
The cause is identified against known operational patterns.
- 03
Remediate
The routine correction is applied automatically.
- 04
Verify
The fix is confirmed against the condition that triggered it.
- 05
Document
The whole sequence is written to the audit record.
- 06
Escalate
A human is involved only when the system cannot close the loop.
Built around the systems your firm already trusts.
Cogneros installs above the firm\u2019s existing document environment. It does not ask anyone to change where they work, and it does not become a second place documents have to live.
Google Workspace / approved repositories
The firm's canonical source
Secure ingestion
Change detection, parsing, metadata, permissions
Cogneros Knowledge
The structured institutional corpus
Cogneros Search
Permission-aware hybrid retrieval
Cogneros Node
Private reasoning over retrieved context
Cogneros Draft
New work product, cited to its sources
- 01
Connect
Connect approved firm repositories. Nothing is ingested that the firm has not designated.
- 02
Understand
Documents are processed, classified, and indexed with the metadata and permissions they arrived with.
- 03
Retrieve
Relevant institutional knowledge is found using multiple retrieval methods and the engagement’s own context.
- 04
Reason privately
Retrieved context is processed through approved models, including local inference on a Cogneros Node where configured.
- 05
Produce
Cited answers are returned, or new work is generated through Cogneros Draft.
Nobody needs another place to save files.
Google Workspace can remain the firm\u2019s canonical repository. People keep drafting, saving, and sharing exactly as they do now.
When approved content changes, Cogneros picks it up on its own. No one re-uploads a document, tags it, or files it a second time so that the AI can see it.
Other approved repositories can be connected the same way. The point is not the vendor — it is that the firm’s existing filing habits stay intact.
Change detected
Response_in_Opposition_v4.docx
edited by D. Okonjo · M-2291 · 09:41
- Detect the change
- Process the new version
- Update the knowledge index
- Preserve useful metadata
- Respect existing access controls
- Make the new content searchable
Nobody did anything except save the file.
Privacy is architecture, not a checkbox.
Confidentiality obligations do not get satisfied by a setting. They get satisfied by where information lives, who can reach it, and whether the firm can demonstrate both afterwards.
- Firm-controlled source documents
- Originals stay in the repository the firm already governs.
- Permission-aware retrieval
- Results are constrained by the existing entitlements of the person asking.
- Matter-level access
- Access is scoped to matters and engagements, not granted wholesale across the corpus.
- Encrypted communication
- Traffic between firm systems, Nodes, and Cogneros services is encrypted in transit.
- Local inference options
- Configured work can be reasoned over on a Cogneros Node inside the firm.
- Auditability
- Access, ingestion, model changes, and administrative actions are recorded.
- Source-linked outputs
- Answers and drafts carry the documents and pages they were built from.
- No cross-firm knowledge sharing
- One firm's corpus is never pooled with, or used to answer for, another firm.
- Controlled model access
- Which models may be used, by whom, and for which matters is a firm setting.
- Automated monitoring
- The environment reports its own condition rather than relying on periodic review.
- Configurable retention
- How long derived artifacts persist is set by the firm, not assumed by us.
- Device-level controls
- Nodes and endpoints are managed as identified devices within the environment.
What Cogneros does not claim
- That any system is unhackable or perfectly secure
- That using Cogneros guarantees privilege or confidentiality in any matter
- SOC 2, HIPAA, or any certification Cogneros does not currently hold
Security posture, certifications, and data-handling terms are documented in writing during evaluation, so counsel can review the specifics rather than a marketing summary.
Not every question needs to leave the firm.
Cogneros is model-flexible by design. Some work belongs on a Node inside the building; some work is perfectly appropriate for an approved external model. That judgment is the firm's to make.
The firm controls the policy.
- Local-only workflows
- Approved cloud models
- Matter-specific restrictions
- Role-specific model access
- Local processing for sensitive work
- Cloud reasoning for approved workflows
| Workflow | Local Node | Approved cloud model |
|---|---|---|
| Confidential matter research | Required | Blocked |
| Client-identifying drafting | Required | Blocked |
| Precedent search across firm work | Allowed | Allowed |
| Internal templates and forms | Allowed | Allowed |
| Public-record and secondary research | Allowed | Allowed |
| Proposal and engagement drafting | Allowed | Allowed |
Example configuration only. Each firm sets its own policy.
Cogneros Legal
Private AI infrastructure for law firms — the Cogneros platform brought into the legal environment, with matters, privilege, and precedent treated as first-class concerns.
Built for
- Roughly 5–30 attorneys
- Significant accumulated work product
- Strong confidentiality obligations
- A desire to use AI without losing control of institutional knowledge
- An existing shared document environment such as Google Workspace
Used for
- Precedent discovery
- Legal drafting
- Proposal generation
- Contract work
- Matter research
- Firm knowledge search
- Attorney onboarding
- Internal research
- Reusable templates
- Institutional memory
Cogneros does not replace your lawyers’ judgment. It makes the firm’s accumulated judgment easier to access.
Stop paying people to rediscover work the firm already did.
Every hour spent reconstructing something the firm has already worked out is an hour that was paid for once already. The question is how much of that time is recoverable.
Adjust the assumptions
Estimated recovered capacity
$350,000per year
- Hours recovered each week
- 20
- Weekly capacity
- $7,000
- Hours across 50 working weeks
- 1,000
Illustrative example only. Actual results vary by firm, practice area, matter mix, and how the platform is adopted. Cogneros makes no guarantee of savings.
Request a Private DemoBuilt for the firm you already have.
Implementation is a sequence, not a switch. Each phase is validated before the next one starts, and the firm can see what has been indexed and who can reach it at every point.
- 01
Knowledge assessment
What the firm has, where it lives, and what is worth indexing first.
- 02
Repository connection
Approved sources are connected under the firm's own credentials and scope.
- 03
Matter and permission mapping
Existing access structure is mirrored before any content is retrievable.
- 04
Initial ingestion
The first corpus is processed, classified, and verified against the source.
- 05
Cogneros Node deployment
Appliances are installed, registered, and brought under management.
- 06
Model configuration
Which models run where, for whom, and under which matter restrictions.
- 07
Team onboarding
Short, practical sessions built around the firm's own matters.
- 08
Workflow setup
Search and drafting flows are shaped to how the firm actually works.
- 09
Validation
Results are checked against known matters before the firm relies on them.
- 10
Managed operation
Ongoing ingestion, monitoring, updates, and support as a managed service.
First Cogneros Legal deployment underway
See how a distributed law firm is turning years of work product into private institutional AI.
The first Cogneros Legal deployment is in progress. Results will be published here once the firm has been live long enough for the numbers to mean something.
- Attorneys
- Pending first reporting period
- Documents indexed
- Ingestion in progress
- Years of work product
- Assessment underway
- Weekly usage
- Baseline being established
- Search-time reduction
- Measured after rollout
- Drafting-time reduction
- Measured after rollout
- Capacity recovered
- Measured after rollout
Questions firms ask first.
These come up in nearly every evaluation. Where something is still being built, it says so.
Does Cogneros train public AI models on our documents?
The core architecture is built around firm-controlled knowledge and private processing. Your corpus is indexed for your firm alone and is not pooled with other firms. If your firm approves an external model provider for part of a workflow, how that provider handles data is governed by your approved configuration and that provider's terms — which is why model access is a policy you set in Cogneros Control, not a default we set for you.
Where are our original documents stored?
Your approved repository stays the canonical source. Cogneros does not ask anyone to move or re-file anything. We create the structured intelligence layer required to make approved information retrievable, and every result points back to the document where it lives today.
Does every person need a Cogneros Node?
No. Node count depends on firm size, workload, privacy requirements, and deployment model. Many firms run a small number of shared Nodes; others deploy per office or per practice group. We size this during the knowledge assessment rather than selling a seat count.
Can Cogneros use Claude or other cloud AI models?
Yes, if your firm approves them. Cogneros is model-flexible and can route work to local models, approved cloud models, or a combination. Which models are available — and to whom, for which matters — is configured in Cogneros Control.
Can we restrict specific matters to local processing?
Policy-based processing restrictions are a core part of the product design: the intent is that a matter, a client, or a role can be scoped to local inference only. Configuration depth continues to expand, so we will walk through exactly what is available for your requirements during the assessment rather than describing it in the abstract here.
Does Cogneros replace our document management system?
No. Cogneros is an intelligence layer over approved firm repositories. Everyone keeps the document workflow they already have; Cogneros makes what is already in it findable and usable.
Can answers be traced to original documents?
Yes — this is a core product principle. Search results and generated drafts preserve source references, including document, matter, and page, so anyone can verify a statement against the underlying work product before relying on it.
Does Cogneros replace professional review?
No. Cogneros helps people find, synthesize, and draft from firm knowledge. Professional judgment and review remain with the person who signs the work, and the workflow is built to require verification rather than to bypass it.
Your firm has already built the knowledge.
Cogneros makes it available to the people who need it — under the firm’s own permissions, traced to the firm’s own documents.
Demonstrations are run against Cogneros’ own sample corpus. No firm documents are required to see the product work.