rag × legal

RAG systems for Legal.

A lawyer cannot act on a paraphrase. They need the exact clause, section, or holding — quoted, attributed, and pulled only from documents they are permitted to see. We build citation-grade retrieval-augmented generation across case files, contracts, and precedent that returns the controlling text with attribution, privilege-aware and deployable on-prem.

Privilege-aware Matter-scoped retrieval Clause-level citations

Citation-grade retrieval across the matter estate

Legal work is unforgiving about sourcing. The answer to a question lives in a specific clause of a specific contract version, a paragraph of a pleading, or a holding in a particular case — and a near-miss is worse than no answer. A general-purpose vector search over a document management system retrieves something adjacent and the model smooths over the gap, which is exactly the failure a lawyer cannot accept.

We engineer the retrieval layer for citation-grade precision: chunking that preserves clause, section, and paragraph boundaries, hybrid retrieval with reranking across near-duplicate contract versions and large matter sets, and grounding that constrains the model to quote and cite the controlling passage. Retrieval is scoped to each user's matter and ethical-wall entitlements, and the whole pipeline runs inside your environment, so privileged and confidential client material never leaves your control.

Built for citation-grade legal retrieval.

A retrieval layer engineered around clause-level precision, privilege, and the attribution legal work demands.

01 / ingestionCORE
Legal document intelligence
We parse contracts, pleadings, case files, and precedent into structure-aware, version-tagged chunks that preserve clause, section, and paragraph boundaries along with execution dates and amendments.
  • Clause & section segmentation
  • Version & amendment tracking
  • Defined-term & cross-reference handling
02 / retrievalSECURE
Privilege-aware, cited retrieval
Hybrid retrieval and reranking surface the controlling clause or holding, every answer cites its source, and the stack runs inside your environment with matter-scoped, ethical-wall access so privileged content never reaches a third party.
  • On-prem inference
  • Matter-scoped access
  • Clause-level citations
03 / corpusCORE
Legal corpus coverage
Coverage spans the knowledge a practice runs on — case files, contracts, precedent libraries, and matter documents — kept synced to your document management system as a source of truth.
  • Case files & pleadings
  • Contracts & precedent
  • Matter & memo libraries

Where RAG unlocks value in Legal

Value concentrates wherever the controlling text already exists but is too slow, too scattered, or too risky to retrieve by hand:

  • Contract review & analysis — lawyers pull the exact clause and its amendments across a deal's document set, with attribution, instead of re-reading every version.
  • Precedent & brief research — associates surface the controlling holding or prior work product with a citation, cutting research time without losing rigor.
  • Matter & discovery Q&A — teams query a matter's file for the passage that answers a question, with privilege and access enforced at retrieval.
  • Knowledge management — the firm's accumulated memos and templates become searchable by clause and issue, with the source document attached to every answer.

Common questions.

How does RAG respect privilege and matter-level access in a legal corpus?

Retrieval is scoped to a user's matter and ethical-wall entitlements, so a query can only surface documents the user is permitted to see. The pipeline runs inside your environment — on-prem or in your controlled tenant — so privileged and confidential client material never reaches a third-party service, and every query and its sources are logged for an audit trail.

How does RAG return the exact clause or holding rather than a paraphrase?

We chunk contracts, case files, and precedent so clause, section, and paragraph boundaries are preserved, and the model is constrained to answer only from retrieved passages with a citation to the document, section, and version. The result is citation-grade output — the controlling clause or holding quoted and attributed — so a lawyer can verify it against the source rather than trust a summary.

Explore related paths.

Return the exact clause, with attribution.

Bring a set of contracts or a matter file and the questions your teams ask daily. In thirty minutes we will show how privilege-aware, citation-grade retrieval answers them on infrastructure you control. 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)