Master every clause, from single wording to full book of business

Wording Analyzer empowers underwriting, legal and portfolio teams to dissect complex (re)insurance contracts with precision in minutes and aggregate risk intelligence across their entire book.

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Challenges

No clear view of how risk is distributed across your portfolio

Key coverage terms, exclusions and sub-limits are buried across thousands of contracts, with no consolidated view:

No visibility on how clauses propagate across lines of business

Accumulation risk remains hidden

Difficult to adjust underwriting strategy proactively

Limited control over ceded reinsurance structures

Contract reviews are manual, inconsistent and don’t scale

Each individual risk requires navigating multiple bespoke documents (slips, wordings, endorsements, I&Ls) with no structured tooling or standardized analysis:

Cross-referencing across documents is slow and error-prone

Alignment with internal standards is hard to verify at scale

Review quality varies between underwriters, critical nuances are missed

Institutional knowledge stays siloed, audit trail is fragmented

Wording Analyzer structures contractual data, so you can see, compare and control risk at scale.

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Solution

Clause-level intelligence for (re)insurance teams

Wording Analyzer ingests the full legal documentation of a submission extracts key clauses, identifies related and contradicting provisions, and applies rules automatically.

Pre-bind: Underwriting & Legal review

Dissect coverage, exclusions, conditions and sub-limits. Flag deviations, surface conflicting clauses, and assess contractual risk drivers.

Post-bind: Portfolio intelligence

Build a consolidated, clause-level view of your book. Track how terms propagate across lines, benchmark against market practice, and spot drift from target wording strategy.

Compliance & Risk management

Enforce legal, regulatory and risk policies consistently across all contracts. Support decisions with a evidenced and structured audit trail.

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How it works

From inbox to insight, fully automated

Wording Analyzer ingests the full legal documentation of a submission extracts key clauses, identifies related and contradicting provisions, and applies rules automatically.

Step 1

Ingest & classify automatically

Submissions flow directly from your mailbox or broking platform. Documents are classified by type, linked to the correct submission ID, versioned and grouped, no manual sorting.

Claim Library interface showing three processed claims with claim IDs c_4220_02, c_4108, and c_4109, including loss dates, report dates, number of evidences, and total incurred loss amounts in EUR and USD.

Insurance submission status showing Insurer A with 92% quality validated on 09/02/2026, including 1 document and 3 discussions.

Step 2

Extract clause-level intelligence

Coverage grants, exclusions, conditions, definitions, financial terms and key parties are extracted jointly across all documents of the submission, ensuring a coherent and consistent reading of the risk.sorting.

User interface showing submission details with tabs Overview, Files, Todo, Attributes (selected), and Comments, displaying attributes Arbitration with Medium Alignment, Cyber clause with High Alignment, and Inception date with Medium Alignment.

Step 3

Run systematic controls at scale

Hundreds of underwriting, legal and risk management rules are applied automatically, flagging non-compliant clauses, deviations from house standards, missing provisions and conflicting terms across documents.

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Step 4

Act on revealed insights

Review clause variance against target wordings, visualise portfolio-wide deployment of key terms, annotate findings and share actionable findings across underwriting, legal and portfolio teams.

Chart showing clause variance analysis for Cyber exclusion Clause with a variance distribution bar segmented into aligned, broader, narrower, disaligned, and prohibited, and a code distribution bar divided among LMA345A, LM14859, LMA5485, and others.

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During busy renewal periods, our underwriters review hundreds of contracts and negotiate various elements within them. Dylogy Analyzer enables us to focus on wordings more efficiently.”

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Mark van Zanden

Chief Analytics Officer, Convex

<7min

by contract

15+

lines of business

+30%

errors identified

Read full success story

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The solution helped us across several regional offices to structure our understanding of the clauses in record time and choose the most appropriate ones in view of the legal constraints for renewal.

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Thomas Kroely

Managing Director, Howden

5 min

to analyse contracts

120+

rules to compare standards

25%

reduction in errors

Key capabilities

Why (re)insurance teams choose Wording Analyzer

Instant LOB deployment

Stand up a use case in a day, not weeks: treaty, facultative, specialty, commercial lines, delegated authority. No retraining, no workflow rebuild.

Extensive control framework

From standard rule-based checks to agentic controls that enforce complex underwriting logic : hundreds of controls, easily configurable

Purpose-fitted insurance AI

AI models fitted on (re)insurance documentation and benchmarked against synthetic insurance datasets for specialty market precision.

Cross-document coherence verification

Verify consistency across the full submission stack surfacing contradictions, gaps and misaligned terms automatically.

Analytics & agentic capabilities

Compare clauses, track terms across your book, define score, and ask any question in natural language to get evidence-backed answers

Analysis re-run on demand

Add clauses to monitor, adjust controls, re-run your entire book, in one click, at no additional cost

Enterprise governance

Full control over security, role-based access, audit trail and performance at scale.

Results

Measurable impact from day one

4 hours to 8 minutes

per treaty analysis: freeing underwriters to focus on risk selection, not document review

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100+ data points extracted

per submission: clauses, exclusions, sub-limits, conditions, parties, financial terms

Hundreds of controls run simultaneously

underwriting, legal and risk rules applied in seconds, not days

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20% more exposure drivers identified

compared to manual review: surfacing hidden risk before binding

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Dozens of clause variants

detected per portfolio scan: feeding your clause library with real market intelligence

1,000+ documents

processed per day perline: at scale, without adding headcount, proving depth and granularity at portfolio level

20+ LOB workspaces

deployed in pilot phasevalidating scalability across treaty, fac, specialty and commercial lines from day one

10+ emerging coverage issues surfaced

on average per book review giving portfolio and risk teams early signal on silent exposure, and market trends

Alternatives

How Wording Analyzer compares

Traditional tools

Generic LLM

Wording analyzer

Treaty analysis time

~4 hours

~30 min (with prompt engineering)

8 minutes, fully automated

Data points extracted per submission

10–20 (analyst-dependent)

30–50 (unstructured output)

100+ structured & cross-referenced

Cross-document coherence

Manual cross-check

No document linking

Automatic consistency verification across full submission stack

Systematic controls

Checklist-based, manual

None, no rule engine

Hundreds of underwriting, legal & risk rules applied simultaneously

LOB scalability

Weeks to configure per LOB

Generic, not insurance-fitted

New LOB workspace in a day

Portfolio-level intelligence

Spreadsheet-based, static

Not available

Clause tracking, variance detection & agentic Q&A across your book

Emerging issue detection

Reactive, post-loss

No portfolio awareness

Proactive, silent exposure, wording drift, market trends

Throughput

5–10 contracts/day/analyst

Token-limited, no batch

1,000+ documents/day

Insurance expertise

Depends on the analyst

General-purpose model

Purpose-fitted on (re)insurance data, benchmarked on synthetic datasets

Audit trail & governance

Fragmented, email-based

None

Full traceability, role-based access, enterprise-grade

Integration & Deployment

Plugs into your workflow, not the other way around

Wording Analyzer connects where your submissions already live. No migration, no process change, no IT project.
‍Ingest from anywhere Submission mailboxes, broking platforms (PPL, Whitespace, proprietary portals), document management systems, or via API and MCP connectors for seamless integration into your existing AI and automation stack.
Live in days, not months

Day 1

Connect

plug into your submission flow

Day 2–3

Configure

LOB workspaces, house standards, controls

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Day 4–5

Analyse

real contracts, real results

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Week 2+

Scale

across lines, teams, geographies

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Your IT team doesn’t build. They validate

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See Analyzer in action

Analyzer is built for (re)insurance teams — not generic AI. Test it on your own contracts and see how quickly you can surface risks, compare wordings and gain portfolio visibility.

No setup. No commitment. Immediate results.

Book a live demo

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