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Solution blueprints
Knowledge

Contract review and redlining

Read the contract, mark the risk, draft the redlines

A legal agent that reads an incoming contract, checks every clause against your playbook, flags the risky terms, and drafts the redlines a lawyer can accept or edit. First-pass review goes from hours to minutes, with a citation behind every change.

The problem

Contract review is slow, manual, and inconsistent. Lawyers and ops staff read each agreement line by line, compare it against a standard they hold in their heads, and retype the same redlines over and over. Risky terms slip through under deadline pressure, and the work does not scale with deal volume.

The outcome

70%

less time on first-pass review

The architecture

How the work actually flows

No black box. This is the real data and agent flow, from the moment work arrives to the moment it is done, with a human in the loop wherever the stakes are high.

  1. Ingest

    Take the incoming contract from email or a deal room and identify the agreement type and its clauses.

  2. Parse

    Segment the document into clauses and map each one to your playbook with layout-aware extraction.

  3. Assess

    Compare every clause against your positions, flag deviations, and score the risk on each one.

  4. Redline

    Draft tracked-change edits and fallback language from your playbook, with a citation for each change.

  5. Review

    Send the marked-up draft to a lawyer with a clause-by-clause summary of what changed and why.

  6. Learn

    Capture the edits the lawyer accepts or rejects and feed them back to sharpen the playbook over time.

What we build

  • Clause segmentation and mapping to your contract playbook
  • Risk scoring against your standard positions and fallbacks
  • Tracked-change redline drafting with a citation per edit
  • A lawyer review screen with a clause-by-clause change summary
  • A feedback loop that learns from accepted and rejected edits

Representative stack

Python LangGraph Anthropic Claude Mistral pgvector Postgres LangSmith

We choose tools to fit the job and your constraints. We are not tied to any one vendor.

Let's adapt this blueprint to your systems

Take the assessment. We start from this reference and tune it to your data, your tools, and your bar for quality.