AI Contract Review

Accelerate legal review with automated clause extraction.

Process NDAs, MSAs, and vendor agreements instantly. We build workflows that extract critical clauses, compare them against your legal playbook, and flag risks for counsel review.

Workflow Value

From dense data to defensible action.

High Volume, Low Complexity Paralysis

Legal teams are bogged down reviewing routine NDAs and vendor agreements, delaying procurement cycles and pulling counsel away from high-value strategic work.

Playbook-Driven Deviation Detection

We don't just extract text. We configure the AI workflow with your specific legal playbook. The system parses the incoming contract, compares limitations of liability, indemnification, and governing law against your standard terms, and highlights any deviations.

Complex Obligation Tracking

For massive master service agreements (MSAs), the workflow extracts all post-execution obligations (reporting requirements, SLA penalties, renewal dates) and automatically structures them into your contract lifecycle management (CLM) or ERP systems.

Attorney-in-the-Loop Interface

We provide a custom React-based review interface. Attorneys see the original PDF side-by-side with the AI's extracted clauses, confidence scores, and flagged risks. They can accept, reject, or modify the findings with a single click, maintaining total control.

Agent Workflow Architecture

How the AI agent system works behind the page.

Every solution is implemented as a controlled workflow, not a loose chatbot. The agent operates inside approved data scopes, produces inspectable outputs, and routes judgment back to the right human owner.

Scope the job

Define the exact workflow, input sources, business rules, user roles, output format, and what the AI agent is allowed to do.

Retrieve the right context

Pull only approved documents, records, ERP context, control libraries, or playbooks before the agent drafts or acts.

Produce source-visible output

Generate findings, matrices, notes, SQL-backed answers, or queues with source references, exception reasons, and confidence signals.

Validate before expansion

Measure reviewer edits, pass/partial/fail outcomes, time saved, exception quality, and adoption before moving to adjacent workflows.

FAQ

Frequently asked questions

Does this replace our existing CLM software?

No. It supercharges it. Our workflow acts as the intelligent processing layer that extracts the unstructured data from the PDFs and pushes the structured metadata directly into your existing CLM via API.

How is client confidentiality maintained?

For law firms or corporate counsel, we deploy tenant-isolated environments. Document data is never shared across clients, and we offer deployment models where data never leaves your VPC.

Automate one repeatable workflow.

Bring the workpaper, evidence review, or diligence process that consumes the most hours. We will map a practical AI-assisted pilot around your methodology.