Law-firm case co-counsel
Case review, precedent search and document drafting done locally, offline-capable.
Evidence notice: cases, figures and inferred project metadata are unverified scenario illustrations, not established client outcomes, credentials or return promises. Signed contracts define scope, fees, baselines, acceptance and data responsibilities; client business data stays off-chain.
1. Project Overview
- Customer type
- Top-tier Law firms & corporate legal/board offices
- Project duration
- 10–16 weeks
- Tech stack
- Federated learning · Speech / ASR-TTS · Vector search
- Deployment
- Edge / on-prem
2. Business Context & Pain Points
The customer is a Enterprise / Group player in Legal, with the core pain concentrated in "Knowledge & Q&A". Manual workflows and point tools could not scale or stay consistent, driving up response time, operating cost and compliance risk. This project delivered an end-to-end AI upgrade for that workflow.
3. Solution
Anchored on "Local-First Digital Employee Gateway (OpenClaw)", Global AI DAO integrated the following capability stack into a single solution:
- Federated learning —— Wired into the critical business path across ingestion, inference and human-in-the-loop collaboration.
- Speech / ASR-TTS —— Wired into the critical business path across ingestion, inference and human-in-the-loop collaboration.
- Vector search —— Wired into the critical business path across ingestion, inference and human-in-the-loop collaboration.
- Deployment: Edge / on-prem, balancing data compliance, performance SLA and operability.
4. Quantified Outcomes (Before vs After)
| Metric | Before | After | Delta |
|---|---|---|---|
| case-prep time | 100% | 30% | -70% |
| document reuse | 100% | 155% | +55% |
Source metric: -70% case-prep time, +55% document reuse.
5. Specs & Fit
| Foundation | OpenClaw local-first gateway |
| Channels | WeCom / DingTalk / Feishu / email |
| Min hardware | 16GB RAM, optional GPU |
| Data residency | 100% local |