Conflict checks that actually run across the whole relationship graph.
A new enterprise engagement lands on your desk Monday morning. The fee structure is signed, the scope is defined, the partners want to start this week. The only thing standing between you and engagement is the conflict check — and that means two weeks of paralegal research across practice management, matter archives, personnel files, and whatever investment disclosures the partners remembered to submit. By the time the ethics committee meets, the client is wondering why a firm of your size takes fourteen days to say yes.
Your AI conflict checker maintains the firm's complete relationship graph continuously — every client, every affiliate, every personnel investment, every prior representation. New engagements and lateral hires run against the graph across six dimensions in parallel, and a structured conflict report ships to the ethics committee in two hours. With severity tiers, regulatory context, and source evidence on every finding.
The ethics committee's judgment stays the judgment. Their prep work disappears.
Your ethics committee is searching spreadsheets and asking around. That isn't a system.
The typical conflict-check workflow at a 200-partner firm runs like this: a new engagement request lands at intake, a paralegal drafts a search across practice management, matter archives, and personnel records. Multiple spreadsheets get opened. An email goes to each practice group asking if anyone has worked with the proposed client, their affiliates, or anyone adjacent. Two weeks later the committee meets with a mostly-complete picture of the conflict surface, and takes another week to produce the formal determination.
The failure mode isn't the committee — it's the prep work. Three weeks of elapsed time for something the underlying data could answer in an hour. Enterprise clients wonder out loud why the firm takes a fortnight to say yes. Lateral candidates accept offers elsewhere while you're still running intake conflict checks. And the conflicts that actually do exist sometimes stay invisible because the relationship graph was never complete enough to surface them — the subsidiary nobody remembered, the partner investment in a parent company, the prior matter that sat in an archived system nobody searched.
Every entity. Every connection. Every dimension. Searched simultaneously.
The agent holds a live relationship graph that updates continuously from practice management, personnel records, investment disclosures, and corporate-family databases like Dun & Bradstreet and PitchBook. When a new matter or lateral hire triggers a conflict check, the graph gets searched across six dimensions in parallel — not sequentially, not selectively, not dependent on someone remembering to look in a particular place.
A new client is a wholly-owned subsidiary of a parent company you represented eight years ago? The agent finds it. A partner has a 0.3% equity stake in an Acme affiliate through their SPV? The agent finds it. The historical representation that predates your current practice management system? The agent finds that too — because the graph imports the archived matters on day one.
Not a yes/no. A structured risk assessment the committee can act on.
The output is a structured package, not a verdict. Every surfaced conflict lives in a tiered severity framework: blocking (the engagement cannot proceed), material (needs written consent or a screening wall), disclosable (committee disclosure obligation), or clear (no flag). Each finding links to the underlying evidence — the specific matter number, the personnel investment disclosure, the corporate-family record.
Regulatory context is attached — the relevant Model Rule or state-specific rule that governs each finding type, so the committee doesn't need to cross-reference. Recommended remediation (screening protocol, consent letter draft, waiver language) travels with the conflict when applicable. The committee reads the structured package and makes the judgment call; they don't spend the first hour of the meeting reconstructing what the paralegal found.
2 hours instead of 2 weeks. Evidence instead of hunches.
The agent replaces paralegal research time, not ethics committee judgment. Every finding links to its underlying evidence, so a committee member who wants to verify can do so in 30 seconds. The 2-hour turnaround means enterprise engagements move from intake to authorization in days instead of weeks, and lateral candidate conflicts surface while you're still in the offer conversation rather than after the candidate has accepted elsewhere.
Most firms who deploy the agent report catching 2-3 conflicts per year that would have slipped through the manual paralegal process — typically in the indirect-affiliate or historical-representation dimensions where human searches tend to miss non-obvious entities. The accuracy is better and the speed is 40x. There isn't a trade-off.
Three questions every managing partner raises first.
Doesn't our practice management system already do conflict checks?
It does direct-name matching within its own database. What it doesn't do: corporate-family affiliate mapping, personnel investment cross-reference, archived pre-migration matter searches, or appearance-of-conflict analysis. The agent complements practice management — treats your PM system as one of the inputs to the relationship graph, then layers the five other dimensions on top.
What if the agent misses a conflict that ends up being malpractice?
Every finding the agent surfaces links to source evidence, and every check logs what was scanned. If a conflict later emerges that the agent didn't catch, you have a complete audit trail showing exactly what the relationship graph contained at the time of the check. That audit trail is stronger protection than manual paralegal research where the specific queries run are rarely documented.
Is our relationship graph data safe?
Everything stays inside your beeeowl deployment — Hosted VPS, Mac Mini, or MacBook Air. No client data, matter information, or personnel records ever leave your infrastructure to a third-party model. With the Private On-Device LLM add-on, even the inference stays fully local. Your firm's most sensitive data stays where your firm controls it.
AI conflict-of-interest checking — answered.
Which conflict dimensions does the AI conflict checker actually cover?+
Six standard dimensions, all run in parallel: direct adversity (are you representing someone opposite to an existing client?), indirect adversity (through affiliates, subsidiaries, or parent entities), positional conflicts (taking a legal position that would harm another client), financial interests (partner or associate investments in parties to a matter), historical conflicts (former representations that could taint), and appearance-of-conflict risks (optics problems even without a technical conflict). You can add firm-specific dimensions during deployment.
How does the agent handle corporate structures with many affiliates?+
The agent cross-references against corporate-family databases (Dun & Bradstreet, Pitchbook, public filings) to map parent-subsidiary-affiliate relationships automatically. A new matter against "Acme Digital" gets checked against every entity in the Acme corporate tree, not just the named entity. Subsidiary changes or acquisitions that happened after the original representation get picked up because the agent refreshes the corporate graph continuously.
What about lateral hires bringing conflicts from their prior firm?+
Lateral hire intake runs the candidate's disclosed representation history against your active client matters. The agent flags potential conflicts for the ethics committee before the offer extends, along with the specific prior clients that may need consent or screening protocols. Most lateral conflict issues get caught in hiring diligence instead of after the hire lands.
How fast is the conflict check compared to our current manual process?+
Most firms run conflict checks by paralegal search across practice management, matter archives, and personnel records — typically 1-2 weeks for a new enterprise engagement, longer for lateral hires. The agent returns a complete structured report in roughly 2 hours. The bottleneck shifts from research time to committee review of a well-organized package.
Does this replace the ethics committee's judgment?+
No — it makes their judgment faster and better-informed. The agent surfaces every potentially relevant relationship with evidence; the committee evaluates whether each rises to a blocking conflict, requires consent, or warrants a screening wall. The committee's role as the judgment layer stays intact; the agent replaces the hours of paralegal work that used to precede each committee meeting.
How does the agent handle confidential matters during conflict checking?+
The agent runs entirely inside your beeeowl deployment — no client matter information or personnel data ever leaves your infrastructure. With the Private On-Device LLM add-on, even inference stays local. For matters with extra sensitivity, you can configure the agent to run conflict checks without storing the check request — the answer emerges but no audit log of the specific query retains.
How much does AI conflict-of-interest checking cost?+
Included in every beeeowl deployment tier, starting at $2,000 for Hosted Setup. One-time payment — no per-check fee, no per-matter charge, no monthly subscription based on firm size. See the pricing page for the full breakdown.