Ertas for Contract Review & Analysis

The Challenge

Contract review is one of the most time-consuming and high-stakes activities in legal practice. Attorneys and paralegals manually review every clause of incoming contracts against their organization's approved positions, standard playbooks, and regulatory requirements. A single missed non-standard indemnification clause or an overlooked change-of-control provision can expose the organization to millions in liability. Yet the volume of contracts continues to grow — procurement agreements, vendor contracts, partnership deals, NDAs, and employment agreements pile up faster than legal teams can review them.

Generic AI legal tools provide surface-level contract analysis that identifies clause types but cannot evaluate them against an organization's specific standards. They flag that an indemnification clause exists but cannot determine whether it is mutual (as your playbook requires) or one-sided (a deviation that needs negotiation). This lack of organizational context makes generic tools useful for clause identification but inadequate for actual contract review — the part that consumes most of a lawyer's time.

The Solution

Ertas enables legal teams to fine-tune contract review models on their organization's specific contract playbook, approved positions, and historical redline patterns. The model learns what each clause should look like according to your standards and can identify deviations, missing provisions, and risk areas with explanations that reference your specific policies. This transforms contract review from a clause-by-clause manual comparison into an AI-assisted process where the model handles initial review and attorneys focus on judgment calls.

With Ertas Studio, legal teams train on annotated contracts where each clause is labeled with its compliance status against the playbook, the nature of any deviation, and the recommended response. The fine-tuned model can then review new contracts and produce a structured risk report identifying clause-by-clause compliance, flagged deviations with severity ratings, and suggested negotiation language drawn from previously approved redlines. Deployed on-premise through Ollama or Ertas Cloud with strict access controls, the model processes contracts without exposing confidential deal terms to third-party services.

Key Features

Example Workflow

A technology company's legal department processes 300+ vendor contracts quarterly. The team annotates 2,000 historical contracts with clause-level assessments against their 85-position contract playbook and uploads the dataset to Ertas Vault. In Ertas Studio, they fine-tune a model that takes contract text as input and outputs a structured review memo: each clause is identified, classified, compared against the playbook position, and flagged as compliant, minor deviation, or material deviation. Suggested redline language from previously approved negotiations is included for material deviations. The model is deployed behind the corporate firewall. During the next quarter, the model pre-reviews all incoming vendor contracts, producing draft review memos that paralegals validate and attorneys finalize. Average contract review time drops from 4 hours to 45 minutes, and the legal team catches 23% more playbook deviations than they did with manual-only review — primarily in ancillary clauses that were previously skimmed under time pressure.