Can we use open-source models or do we need OpenAI?

Both work. We support Llama and Mistral self-hosted, plus optional integrations with OpenAI and Anthropic for non-privileged workloads.

How are extraction outputs validated?

Every extraction cites the underlying clause text with confidence intervals, and a reviewer workspace makes attorney sign-off fast.

Legal-tech / AI-Assisted Contract Analysis

AI-Assisted Contract Analysis

Q: Will privileged data ever leave our environment?

No. Our platform runs entirely in your VPC or on-prem, with no external API calls for privileged content.

We engineer LLM-powered contract analysis platforms that extract clauses, surface risks, and accelerate redlining — without ever sending privileged data to public AI APIs.

Talk to a Solution Engineer View Case Studies

70%

Reduction in document review time

Private

On-prem and VPC-only deployments

Attorney-grade

Citations and confidence on every extraction

Trusted by global innovators

Industry Overview

AI-Assisted Contract Analysis: Engineered End-to-End

Legal teams want LLM productivity gains without the privilege risk. We deliver platforms where models run in your VPC or on-prem, ground every output in source text, and integrate cleanly with your CLM and DMS.

Industry Challenges

What Stops Most Teams From Solving This Today

Common friction points we hear from legal-tech teams scoping this kind of platform.

Privilege Risk: Public LLM APIs cannot be trusted with privileged or sensitive client documents.
Hallucination Cost: Generic LLM outputs without citations are unusable for legal work.
Workflow Disconnects: AI tools that don't integrate with your CLM or DMS create more work than they save.
Scaling Pain: First-wave AI pilots break under enterprise volumes and access control requirements.

Our Approach

Our Engineering Approach

We engineer for the operational reality — not the demo.

Private RAG Architecture

RAG-grounded LLMs run in your VPC or on-prem with no external data calls.

Citation-First Outputs

Every extraction and answer cites the underlying clause with location and confidence.

CLM-Native Integration

Direct integration with Ironclad, Agiloft, ContractPodAi, and major DMS systems.

Capabilities

Production-grade features the platform ships with from day one.

Clause Extraction

200+ pre-built clause types with custom training for client-specific provisions.

Risk Scoring

Per-clause and per-contract risk scoring against your playbook.

Redlining Suggestions

Suggested edits with attorney-reviewable diffs against your standards.

Citation Engine

Every output cites the underlying clause text with confidence intervals.

Custom Playbooks

Configure firm or client-specific playbooks without engineering.

DMS Integration

iManage, NetDocuments, SharePoint, and major DMS connectors.

Audit & Lineage

Per-document and per-extraction audit logs for risk and compliance review.

Private Deployment

VPC, on-prem, and air-gapped deployments with no external API calls.

How It Works

Reference Architecture

How data and decisions flow end-to-end.

Document Intake

OCR, format normalization, and clause segmentation.

Extraction Pipeline

RAG-grounded LLM extraction with citation and confidence.

Risk Scoring

Per-clause risk scoring against client and firm playbooks.

Reviewer Workspace

Attorney-friendly UI with side-by-side document and extraction views.

CLM/DMS Sync

Bi-directional sync with CLM and DMS systems.

Engineering Stack

Technology Stack

A pragmatic stack chosen for reliability, speed, and ease of operation.

AI / ML

LlamaMistralGPT-4AnthropicLangChainLlamaIndex

Vector DB

QdrantWeaviatepgvectorPinecone

Backend

PythonFastAPINode.jsPostgreSQL

Frontend

Next.jsReactTailwindPDF.js

DMS / CLM

iManageNetDocumentsIroncladAgiloft

Infra

KubernetesVaultVPC / On-prem

Measured Impact

Quantified outcomes from production deployments.

70%

Faster document review

External API calls for privileged docs

200+

Pre-built clause types

<2s

Median extraction latency

Am Law 100 Firm Contract Analytics

An Am Law 100 firm needed an AI contract analysis platform that respected attorney-client privilege and integrated with iManage. We built a VPC-deployed platform with custom playbooks for the firm's top three practice groups.

Within nine months, the firm had run 38,000 contracts through the platform, reduced document review time by 70%, and rolled out the same platform to three of its largest corporate clients as a co-branded offering.

Case Study

Use Cases

Where This Earns Its Keep

Common deployment patterns we see across customers.

M&A Due Diligence

Bulk contract review with risk and obligation extraction.

Sales Contract Review

In-flight contract review against your sales playbook.

Procurement Review

Vendor contract review with consistent risk scoring.

Lease Portfolio Analysis

Real estate lease term extraction and obligation tracking.

Compliance Audits

Periodic compliance reviews against regulatory standards.

Client Self-Service

Co-branded client portals for outside-counsel-style services.

Integrations

Integrates With Your Existing Stack

We connect to the systems your teams already know.

DMS

iManageNetDocumentsSharePoint

CLM

IroncladAgiloftContractPodAi

CRM

Salesforce

Compliance-First Development Services Backed by Global Standards

We build secure, scalable products designed for privacy, interoperability, and regulatory readiness from day one across every sector we serve.

General Data Protection Regulation

Implement lawful consent flows, data minimization, and secure processing for global data privacy.

Service Organization Control 2

Verified controls for security, availability, and confidentiality of enterprise data systems.

Information Security Management

Adhering to the international gold standard for managing information security risks.

Our Edge

Why Global Leaders Choose Us

We combine deep technical expertise with industry-specific knowledge to deliver solutions that aren't just functional, but transformational.

Enterprise-Grade Security

We implement rigorous security protocols and compliance standards (HIPAA, GDPR, SOC2) across all industrial solutions to protect sensitive data.

High-Performance Scaling

Our architectures are built to handle massive data loads and user bases, ensuring seamless performance whether you're serving ten or ten million.

Accelerated Time-to-Market

Leveraging our suite of internal tools and proven frameworks, we reduce development cycles and get your product to market 40% faster.

Embedded AI Integration

Beyond simple wrappers, we build deep-learning integrations and predictive analytics directly into the core of your industry-specific workflows.

Engagement Model

Predictable, structured delivery from kickoff through long-term ownership.

Discovery & Scoping

We map the existing systems, constraints, and stakeholders to scope a focused 8–12 week first delivery.

Architecture & Pilot

A working slice on a representative environment — proving the data flow end-to-end before scaling.

Production Engineering

Hardened services, observability, access controls, and audit logging go live behind your IAM.

Operate & Iterate

We stay on as the embedded engineering team — closing tickets, tuning models, and shipping new value.

Voices of Success

We don't just build products; we forge lasting partnerships. See how we've helped industry leaders transform their vision into technical reality.

"I can clearly see how Agnotic has a unique way of handling end-to-end development. They are always active on quick chat and provide support quickly."

Aaron Phelan

Founder, Benchmark

"Agnotic is the best technical team we evaluated. Their engineering excellence made our work dramatically easier and allowed us to stay focused on what matters most for maternal care outcomes. They took full ownership of the technical execution, and we are always happy to continue working together."

Kim Smith

Founder, My Lauren

"Agnotic combines deep technical expertise with strong domain knowledge. They understand the business context, anticipate challenges, and make collaboration smooth and effective."