Give Small Law Firms Conflict Check Memory That Surfaces Every Prior Relationship
Conflict checks at small law firms span every prior matter and adverse party. The senior partner remembers most. The associate doing the check today doesn't. MemoryLake gives small law firms conflict check memory across the firm's full history.
Give Small Law Firms Conflict Check Memory That Surfaces Every Prior Relationship
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The problem: small firm conflict checks rely on partner memory
A new matter intake includes a party the firm represented adversely four years ago. The senior partner knew. They're on vacation. The associate misses the conflict. The intake proceeds. The conflict surfaces later — at real cost.
How MemoryLake supports law firm conflict check memory
Per-party memory
Every client, adverse party, witness across matter history.
Searchable across firm history
Years of prior matters queryable.
Conflict pattern detection
Surfaces prior relationships at intake.
Audit trail per check
Demonstrate due diligence.
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How it works for conflict check memory
- Connect — Authorize matter management system; import historical matters.
- Structure — Parties, matters, relationships become typed memory.
- Reuse — Every intake runs a memory-driven conflict check.
Before vs. after: law firm conflict check memory
| Without MemoryLake | With MemoryLake | |
|---|---|---|
| Conflict checks rely on partner memory | Yes | No — memory-searchable |
| Coverage of firm history | Partial | Complete |
| New associate intake risk | Real | Reduced |
| Audit due diligence | Manual | Memory provenance |
Who this is for
Small and boutique law firms running manual conflict checks where firm history exceeds anyone's individual memory.
Try this use case on your own account
A fictional small law firm keeps its whole history in MemoryLake: a matter index, the archived engagement and closing letters, and one memory per party it has ever met. The senior partner is on leave, and a new associate runs three intakes. Each gets two checks. The party check looks every party up in per-party memory and firm history and applies the firm's rules. MemoryLake's contradiction detector compares what the intake records with everything the firm already knows. When the intake form claims "no prior relationship" with a landlord the firm defended in 2019, both catch it. The detector cites the 2019 matter record and quotes the closing letter. The associate resolves the conflicts, and the resolutions become the audit trail.
What you will see
- Firm history as a project (matter records pinned, letters imported) plus one tagged actor per client, adverse party and witness
- Party check:
actor get --by-custom-id,fact list --actorsandsearch --projectsper party, judged by the firm's own rules fact conflict list: fact vs fact (m2m) and fact vs document (m2d, with the document excerpt). 6 of 6 runs flagged the false claim, 0 false positives in 18 checksfact conflict resolve(trust_document/keep_fact) forgets the wrong claim;fact conflict getkeeps strategy, time and the claim's exact words as the audit trail. Plus a local web UI
You need: a MemoryLake API key · the memorylake CLI · Python 3.9+
Run it
git clone https://github.com/memorylake-ai/memorylake-usecases.git cd memorylake-usecases/conflict-check-memory export MEMORYLAKE_API_KEY=sk-… python3 demo.py # or: python3 web/server.py
Watch it run · real, unedited recordings
Related use cases
Frequently asked questions
Integrations?
Integrations?
Clio, MyCase, PracticePanther — direct connectors.
Privacy?
Privacy?
AES-256 E2E with privilege scopes.
Free tier?
Free tier?
Yes — for small firms.