Legal & Risk
Insurance claim documentation preparation
Assemble claim documentation from incident reports, photographs, invoices, and correspondence into the format the insurer requires, and flag missing evidence before submission.
40–60%
reduction in claim preparation time
Opportunity assessment
Minor improvement. Small efficiency gain with limited effect on overall turnover or bottom line.
Relatively straightforward. Off-the-shelf tools handle the core task. Implementation is well-understood with good examples to follow.
Moderate data needs. Works with data most businesses hold, but will likely need consolidation, cleaning, or reformatting before use.
Moderate risk. Some customer or external exposure. Errors create rework or reputational impact but are recoverable.
Light people impact. A new tool slots into an existing workflow. Minimal training needed. Most people will adapt quickly.
Tooling required
Things to consider
Claims are usually delayed or reduced because evidence is missing, not because the claim is weak. A completeness check at submission is where most of the value sits.
Everything submitted to an insurer must be accurate. Have the model assemble and flag, never characterise or estimate — an AI-worded description of an incident that differs from the incident report creates an inconsistency the insurer will use.
Policy wordings differ on notification deadlines. Encode the notification clock per policy and alert on it, because a late notification can void an otherwise good claim.
Experiment starter: Review your last twenty claims for time from incident to submission and for insurer queries received. Pilot assembly and completeness checking on the next ten and compare both numbers.
Go deeper in the playbook
Section — Opportunity Identification, including the AI Opportunity Assessment ScorecardSection — The Experimentation FrameworkThis is an augmentation opportunity — see the relevant playbook section for how to approach it.More in Legal & Risk
Contract review and clause risk flagging
Review inbound contracts against the company's playbook of acceptable positions, flagging non-standard clauses — liability caps, indemnities, termination, auto-renewal — with the preferred alternative wording.
NDA triage and standard-term approval
Automatically assess inbound NDAs against a pre-approved position, approve those that match, and escalate only the ones with material deviations, with the deviations highlighted.
Legal research and precedent summarisation
Summarise relevant legislation, regulator guidance, and internal precedent for a specific question, with citations, giving the in-house team a researched starting point rather than a blank page.
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