Kira AI Contract Review: Plan Reviews and Track Decisions

Kira is a machine learning platform for contract analysis and due diligence, used by law firms and in-house legal teams to extract provisions and flag deviations at scale. Getting value from Kira means pairing its extraction capabilities with a clear review playbook, defined escalation rules, and a record of the human decisions that shape each review. Tools like fenbs keep that review playbook, approved process decisions, and source links outside any one session so every reviewer starts from the same agreed standard.

This guide covers how to plan a Kira-based review workflow, maintain the decisions behind it, and handle the human approval steps. For the broader picture of AI contract review see AI contract review workflow. For AI review in legal practice see AI contract review workflow.

What Kira does in a contract review workflow

Kira is designed to extract structured information from contracts at high volume. It identifies provisions, compares them against a trained model, and surfaces findings for legal review. It is particularly useful for due diligence on large document sets where manual reading of every agreement is not practical.

Kira is owned by Litera, a legal technology company. Verify current product capabilities, available contract models, and integration options directly on Litera's website before planning a deployment, as legal AI products update frequently. Kira does not make legal judgments; it surfaces provisions and patterns for a lawyer or legal professional to assess.

A Kira deployment is most effective when you know in advance which provision types matter for a given matter type and which deviations require escalation. That clarity is the review playbook, and it belongs in a durable record, not just in the setup of one matter.

Planning the review scope before you start

Before running Kira on a document set, define the scope of the review. Which provision types are you extracting? What is the standard position for each? Who reviews the output, and what is their authority to approve or escalate a finding?

Document this scope before the matter starts, not after the first set of results arrives. Scope decisions made under time pressure tend to be looser than those made in advance. A written scope also makes it easier to explain the review methodology to a client or a counterparty if the results are later questioned.

Working with Kira extraction outputs

Kira produces structured extraction results: provision text, location in the document, and in some cases a comparison against a baseline. The reviewer's job is to assess each finding against the playbook, not to treat the Kira output as a final answer.

Flag any finding where the tool's extraction looks uncertain or where the provision has an unusual structure. Purpose-built contract AI is trained on common formats; a highly bespoke agreement may produce extraction results that need closer human reading. Build that check into your review process rather than treating unusual formats as a known-good result.

For each finding that will inform a negotiation or recommendation, verify the underlying document text before acting. Extraction tools can occasionally misread punctuation, cross-references, or multi-part provisions. A few minutes of primary document verification is cheaper than a mistake in a significant agreement.

Escalation and human review steps

Define two tiers of escalation in your playbook. The first is reviewer escalation: a finding that is outside the standard position and requires a more senior reviewer. The second is matter escalation: a provision that changes the risk profile of the transaction and requires attorney or client decision before proceeding.

Write those thresholds down. A provision that slightly deviates from the standard limitation on liability clause is different from one that removes it entirely. Having the thresholds on paper, with the name of the person who agreed to them, prevents a rushed decision at the end of a tight timeline.

Keeping the playbook current between matters

Legal standards change. Your firm's or client's standard positions change. A Kira review playbook that is not maintained becomes a liability: it tells the tool to flag or approve clauses based on positions that are no longer current.

Assign an owner to each standard position in the playbook. When a legal team member changes a position, they update the record, note the reason, and link the source if the change was driven by a regulatory update or a court decision. The previous position remains visible so reviewers can see the history.

How to do this with fenbs

Use fenbs to keep the review playbook and escalation decisions that support your Kira workflow, separate from the matter-level documents which stay in your document management system.

1. Create a free account. Create a project for your contract review practice area, such as "M&A Due Diligence Review" or "Commercial Vendor Agreements."
2. Write the standard positions for each provision type you review as Decisions and rules. Record the provision name, the standard position, who agreed to it, and the date it was last reviewed.
3. Record each escalation threshold as a separate decision, with the approving reviewer named and the reason for the threshold.
4. Connect your AI assistant from Integrations and ask it to read the playbook rules at the start of each review session, so it can help you check Kira output against current standards.
5. After each matter, record any playbook changes the work revealed. If a standard position was revised, update the decision and note which matter prompted the change.