governance × legal

AI governance for Legal.

AI that protects the firm's core duties — attorney-client privilege, client confidentiality, ethical walls, and data residency. Privileged material never leaves your environment, conflicts screens are enforced in retrieval, and every access is on the record.

Privilege preserved Ethical walls in retrieval Client-controlled data residency

AI that does not put privilege at risk

For a law firm, the duty of confidentiality under Model Rule 1.6 and the protection of attorney-client privilege are not features — they are the franchise. An AI tool that ships a privileged memo to an external model API is a third-party disclosure your opponents will gladly argue waived the privilege. We remove that argument entirely by keeping inference inside the firm's own environment, so no privileged document ever reaches a vendor that sits outside the privilege.

Confidentiality is also a competence obligation now. Model Rule 1.1 and its technology comment expect lawyers to understand the tools they use, and outside counsel guidelines increasingly dictate where client data may reside. We build to those constraints: matter-scoped retrieval that respects ethical walls, configurable data residency to honor client and cross-border requirements, and an append-only audit trail that lets the firm prove exactly how privileged material was handled.

Controls a general counsel can defend.

Each capability maps to a duty under the rules of professional conduct — not a generic enterprise control.

01 / controlsSECURE
Legal regime-mapped controls
Controls map to the duties that govern practice — Rule 1.6 confidentiality, Rule 1.1 competence, and the data-residency terms in your outside counsel guidelines.
  • Rule 1.6 confidentiality controls
  • Outside-counsel-guideline residency
  • Cross-border data handling
02 / inferenceCORE
On-prem / VPC inference
Inference runs inside the firm's own VPC or data center, so privileged and work-product material is never transmitted to a third-party model — preserving privilege by removing the disclosure.
  • No privileged data egress
  • Work-product stays in-firm
  • Client-specified residency
03 / oversightSECURE
Audit trails & access governance
Retrieval enforces conflicts screens and matter scoping, and every query and document touched is written to an append-only record the firm can produce if a wall is ever questioned.
  • Ethical-wall enforcement
  • Matter-scoped access
  • Append-only access trail

Where governance is non-negotiable in Legal

The most valuable AI in a firm touches its most sensitive material — which is precisely why governance leads:

  • Document review and discovery — AI triage across privileged and work-product material that must respect ethical walls and leave a defensible access trail.
  • Contract and matter drafting — generation grounded in client documents that can never cross into a conflicted matter or leave the firm's residency boundary.
  • Legal research and memos — synthesis over confidential client facts where privilege depends on the material never reaching an outside vendor.
  • Conflicts and intake — screening that enforces walls at the retrieval layer so screened attorneys are blocked from conflicted data by design.

Common questions.

Does using AI waive attorney-client privilege?

It can if privileged material is disclosed to a third party that is not covered by privilege or a confidentiality obligation. We avoid that exposure by running inference inside the firm's own environment, so privileged documents are never transmitted to an outside model vendor. No third-party disclosure means no waiver argument built on the AI layer.

How do you maintain ethical walls in a firm-wide AI system?

Retrieval is matter-scoped and enforces your existing screens, so a walled-off attorney's queries can never surface documents from a conflicted matter. Every access is logged to an append-only trail, giving you defensible evidence that the screen held — which is exactly what you need if the wall is ever challenged.

Explore related capabilities.

Adopt AI without risking privilege.

Bring your hardest confidentiality or conflicts question. In thirty minutes we map how an AI system preserves privilege, holds your ethical walls, and honors client residency terms — and leave you with a concrete path. Response inside 24 hours.

Markets served.

As an enterprise AI agency, eeko systems delivers production AI systems remote-first across the United States and internationally — including these markets:

New York City, New York (NY)

Los Angeles, California (CA)

Chicago, Illinois (IL)

Houston, Texas (TX)

Phoenix, Arizona (AZ)

Philadelphia, Pennsylvania (PA)

San Antonio, Texas (TX)

San Diego, California (CA)

Dallas, Texas (TX)

San Jose, California (CA)

Austin, Texas (TX)

Jacksonville, Florida (FL)

Fort Worth, Texas (TX)

Columbus, Ohio (OH)

Charlotte, North Carolina (NC)

Indianapolis, Indiana (IN)

San Francisco, California (CA)

Seattle, Washington (WA)

Denver, Colorado (CO)

Washington, District of Columbia (DC)

Boston, Massachusetts (MA)

El Paso, Texas (TX)

Nashville, Tennessee (TN)

Detroit, Michigan (MI)

Oklahoma City, Oklahoma (OK)

Portland, Oregon (OR)

Las Vegas, Nevada (NV)

Memphis, Tennessee (TN)

Louisville, Kentucky (KY)

Baltimore, Maryland (MD)

Milwaukee, Wisconsin (WI)

Albuquerque, New Mexico (NM)

Tucson, Arizona (AZ)

Fresno, California (CA)

Sacramento, California (CA)

Kansas City, Missouri (MO)

Atlanta, Georgia (GA)

Miami, Florida (FL)

Colorado Springs, Colorado (CO)

Raleigh, North Carolina (NC)

Omaha, Nebraska (NE)

Long Beach, California (CA)

Virginia Beach, Virginia (VA)

Oakland, California (CA)

Minneapolis, Minnesota (MN)

Tulsa, Oklahoma (OK)

Arlington, Texas (TX)

New Orleans, Louisiana (LA)

Wichita, Kansas (KS)

Cleveland, Ohio (OH)

Tampa, Florida (FL)

Bakersfield, California (CA)

Aurora, Colorado (CO)

Honolulu, Hawaii (HI)

Anaheim, California (CA)

Santa Ana, California (CA)

Corpus Christi, Texas (TX)

Riverside, California (CA)

Lexington, Kentucky (KY)

St. Louis, Missouri (MO)

Stockton, California (CA)

Pittsburgh, Pennsylvania (PA)

Saint Paul, Minnesota (MN)

Cincinnati, Ohio (OH)

Greensboro, North Carolina (NC)

Anchorage, Alaska (AK)

Plano, Texas (TX)

Lincoln, Nebraska (NE)

Orlando, Florida (FL)

Irvine, California (CA)

Newark, New Jersey (NJ)

Toledo, Ohio (OH)

Durham, North Carolina (NC)

Chula Vista, California (CA)

Fort Wayne, Indiana (IN)

Jersey City, New Jersey (NJ)

St. Petersburg, Florida (FL)

Laredo, Texas (TX)

Madison, Wisconsin (WI)

Chandler, Arizona (AZ)

Buffalo, New York (NY)

Lubbock, Texas (TX)

Scottsdale, Arizona (AZ)

Reno, Nevada (NV)

Glendale, Arizona (AZ)

Gilbert, Arizona (AZ)

Winston-Salem, North Carolina (NC)

North Las Vegas, Nevada (NV)

Norfolk, Virginia (VA)

Chesapeake, Virginia (VA)

Fremont, California (CA)

Garland, Texas (TX)

Richmond, Virginia (VA)

Baton Rouge, Louisiana (LA)

Boise, Idaho (ID)

San Bernardino, California (CA)

Spokane, Washington (WA)

Des Moines, Iowa (IA)

Modesto, California (CA)

Birmingham, Alabama (AL)

Tacoma, Washington (WA)

Fontana, California (CA)

Oxnard, California (CA)

Fayetteville, North Carolina (NC)

Huntsville, Alabama (AL)

Moreno Valley, California (CA)

Rochester, New York (NY)

Glendale, California (CA)

Yonkers, New York (NY)

Augusta, Georgia (GA)

Amarillo, Texas (TX)

Little Rock, Arkansas (AR)

Akron, Ohio (OH)

Shreveport, Louisiana (LA)

Grand Rapids, Michigan (MI)

Mobile, Alabama (AL)

Salt Lake City, Utah (UT)

Huntsville, Texas (TX)

Tallahassee, Florida (FL)

Overland Park, Kansas (KS)

Knoxville, Tennessee (TN)

Worcester, Massachusetts (MA)

Brownsville, Texas (TX)

New Port Richey, Florida (FL)

Jackson, Mississippi (MS)

Providence, Rhode Island (RI)

Fort Lauderdale, Florida (FL)

Sioux Falls, South Dakota (SD)

Tempe, Arizona (AZ)

Cape Coral, Florida (FL)

Springfield, Missouri (MO)

Pembroke Pines, Florida (FL)

Eugene, Oregon (OR)

Peoria, Arizona (AZ)

Corona, California (CA)

Lancaster, California (CA)

Rockford, Illinois (IL)

Salinas, California (CA)

Palmdale, California (CA)

Springfield, Massachusetts (MA)

Charleston, South Carolina (SC)

Duluth, Minnesota (MN)

London, England (ENG)

Dublin, Ireland (IRE)