LawMem

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LawMem is an AI Agents & Automation tool that provides persistent, namespace-isolated memory for legal AI agents. It offers audit-logged semantic memory via a REST API, with pay-per-call or monthly pricing.

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At a glance

Pricing

Freemium · Paid · Usage-based · Enterprise

Free tier

Yes

API

Yes

Skill level

Technical

About

What is LawMem?

LawMem offers Memory-as-a-Service specifically designed for legal AI agents, providing persistent, namespace-isolated, and audit-logged semantic memory via a REST API. It allows agents to store and recall critical legal information like case notes, pleadings, and contract context across sessions. Key differentiators include query-layer tenant isolation for data separation, a comprehensive PostgreSQL audit trail for compliance and e-discovery, and the use of the nomic-embed-text model for 768-dimensional vector embeddings, enabling single-vector representation of large legal documents without chunking. Pricing includes a free tier, pay-as-you-go, and monthly subscriptions, with payment options via USDC on Base or Stripe.

Best used for

Ideal for lawyers and legal tech builders who need to provide their AI agents with persistent, secure, and auditable memory for tasks like legal research, contract review, and case management. Especially valuable for ensuring data isolation and compliance in sensitive legal workflows.

Common actions

store legal memory

recall legal context

manage AI agent memory

ensure data compliance

blockchain paymentsAI memoryAI infrastructure"AI Agents"contract analysisUSDCpersistent memoryLegal techLegal AIlegal research

Capabilities

Key features

Namespace-isolated memory
Audit-logged API
Semantic vector memory
REST API
MCP server
Pay-per-call pricing

Target Audience

lawyerdeveloperstartup founder

Integrations

stripegithub

Pricing & Plans

Freemium · Paid · Usage-based · Enterprise

Paid

FAQs

What is LawMem's primary purpose for legal AI agents?

LawMem provides Memory-as-a-Service, offering namespace-isolated, audit-logged persistent semantic memory via a REST API. This allows legal AI agents to store and recall case notes, pleadings, and contract context across sessions, ensuring continuity and compliance in legal workflows.

How does LawMem ensure data isolation between different law firms?

Every LawMem API key is tied to a dedicated tenant_id, and namespace isolation is enforced at the query layer. This structural design prevents cross-tenant data leakage, meaning a recall under one tenant's key cannot access another tenant's stored memories, ensuring robust data separation.

What kind of audit trail does LawMem provide?

LawMem logs every store, recall, and delete API call in a PostgreSQL audit_logs table. Each entry records details like tenant_id, api_key_id, action, resource_id, IP address, user_agent, timestamp, and query excerpt, creating a tamper-evident audit trail for e-discovery and compliance.

What embedding model does LawMem use and why?

LawMem uses nomic-embed-text, a general-purpose embedding model with an 8192-token context window. This allows full legal documents like contracts or deposition transcripts to be embedded as a single 768-dimensional vector without chunking, preserving structural context lost by older models.

How does LawMem handle payment for its services?

LawMem offers a free tier with 1,000 calls. Beyond that, it supports pay-as-you-go billing in USDC on the Base network or monthly subscriptions via Stripe. Subscription plans like Legal Starter and Legal Pro offer bundled calls with overage billing.

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