# Conflict Clearance API

*/Opportunities/Conflict_Clearance_API*

## Opportunity Overview

**Wedge**: Start with mid-market corporate law firms with 50 to 200 attorneys. This segment handles complex corporate subsidiary structures but lacks the vast bespoke risk management departments of top-tier global firms, making them eager for automated intake. Expand from this beachhead into M&A advisory consultancies and audit firms by adapting the core entity-resolution engine to financial conflict rules.
**Timing**: Large language models now reliably perform complex entity resolution and semantic reasoning over unstructured corporate structures and engagement letters, replacing brittle exact-match database queries.
**Why This I C P**: Mid-to-large law firms face strict ethical mandates to clear conflicts, suffer direct revenue delays during prolonged intake, and employ dedicated risk analysts whose time is easily quantified.
**Size Of Prize**: ~50,000 mid-to-large professional services firms globally spend an average of ~$40,000 annually on dedicated conflict clearance labor or legacy risk software, resulting in a ~$2B addressable market.
**Gap Narrative**: Professional services firms spend thousands of hours manually checking corporate trees and past engagements to clear conflicts of interest before onboarding clients. Current intake systems rely on rigid keyword searches that flag false positives, requiring risk teams to manually resolve them. These firms require an automated engine that parses complex corporate hierarchies and historical engagement texts to output decisive conflict rulings based on internal policies.
**Defensibility**: Defensibility compounds through workflow lock-in and proprietary relationship graphs. As the API ingests years of historical engagement data and internal risk memos, it builds a firm-specific corporate relationship map. Replacing the API requires stripping out this historical context and retraining a new system on the firm's specific risk tolerance thresholds.
**Why This Thesis**: An API-first software thesis embeds the reasoning engine directly into existing practice management systems, intercepting new matters at ingestion without forcing partners to adopt a parallel risk platform.

## Opportunity Linked Thesis

**Thesis**: [Software](/Theses/Software)

## Opportunity Linked I C P

**Icp**: [Corporate Law Firm](/CompanyTypes/Corporate_Law_Firm)

## Opportunity Market Sizing

_Illustrative — target and order-of-magnitude estimate figures, not an achieved track record (this Thing is concept-stage)._

**S A M**: ~$300M-500M US and UK corporate law firms
**S O M**: ~$10M-25M
**T A M**: ~50,000 global mid-to-large law firms x ~$30,000/yr = ~$1.5B
**Growth Rate**: ~12-18%/yr, driven by accelerating lateral partner movement and complex cross-border corporate entity structures
**Paid Comparable Spend**: ~$60,000-150,000/yr per firm on dedicated risk-clearance paralegals and legacy on-premise database maintenance

## Opportunity Incumbents

- [Intapp Conflicts](/Products/Intapp_Conflicts) — Tool
- [Thomson Reuters Elite](/Products/Thomson_Reuters_Elite) — Tool
- [Aderant Expert](/Products/Aderant_Expert) — Tool
- [Shared Risk Tracker](/Products/Shared_Risk_Tracker) — Spreadsheet
- [In-House SQL Scripts](/Products/In-House_SQL_Scripts) — DIY
- [Legacy CRM Search](/Products/Legacy_CRM_Search) — DIY

## Opportunity Win Conditions

**Kill Thresholds**:
- Sales cycle exceeds 120 days for mid-sized firms
- False positive rate > 25% after 30 days of usage
- Human-in-loop escalation > 40% after 60 days
- Zero implementations reach production within 45 days of pilot kickoff
**Leading Metrics**:
- Time-to-API-integration in days
- False positive rate per entity search
- Percentage of automated clearance without human review
- Number of searches executed per paralegal per week
- Time-to-clearance per lateral hire or new matter
**What Proves Right**: Mid-sized corporate law firms integrate the API into their intake software within 14 days of signing. Paralegals route at least 80 percent of daily conflict checks through the system, dropping clearance turnaround time from days to under two hours. Cohorts retain at a 90 percent rate at the 30,000 USD annual price point without demanding bespoke on-premise deployments.
**What Proves Wrong**: Law firm IT and risk committees block adoption due to rigid data-residency requirements, demanding custom single-tenant builds before usage. Paralegals revert to manual legacy database searches because the API surfaces excessive false positives that paralyze the intake process. The sales cycle stretches beyond six months as partners refuse to trust external entity resolution over internal scripts.

## Opportunity Build Profile

**Hardest Part**: Guaranteeing near-100% recall in entity resolution across unstructured legacy billing systems and messy external corporate structures where a single false negative constitutes legal malpractice.
**Min Viable Scope**: A headless API that ingests a proposed party list, resolves entities against a single commercial corporate registry, and flags hits against historical billing records. Deliberately leave out lateral hire clearance, ethical wall enforcement, and automated waiver drafting.
**Cold Start Problem**: The matching engine requires access to highly sensitive walled-off internal legal data to train its entity resolution models. Break this by partnering with one mid-market law firm to shadow their manual conflict team and tune the algorithm on-premise.
**Time To First Value**: 2 to 4 weeks of data integration gated by the standardizing of the firm's legacy practice management databases.
**Data Moat Available**: true
**Technical Difficulty**: High

## Neighborhood

### Where the gap lives

- [Legal Occupations](/Occupations/Legal_Occupations) — latent gap · Occupations

### Incumbent in

- [Thomson Reuters Elite](/Products/Thomson_Reuters_Elite) — incumbent in · Products
- [Legacy CRM Search](/Products/Legacy_CRM_Search) — incumbent in · Products
- [Shared Risk Tracker](/Products/Shared_Risk_Tracker) — incumbent in · Products
- [Aderant Expert](/Products/Aderant_Expert) — incumbent in · Products
- [In-House SQL Scripts](/Products/In-House_SQL_Scripts) — incumbent in · Products
- [Intapp Conflicts](/Products/Intapp_Conflicts) — incumbent in · Products

### Applies thesis

- [Corporate Law Firm](/CompanyTypes/Corporate_Law_Firm) — applies thesis · CompanyTypes

### Embodies

- [Software](/Theses/Software) — embodies · Theses

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