Doc review collapses. Matter pricing + proprietary AI is how mid-size firms hold ground.
Mid-size firms (50-500 attorneys) sit between BigLaw resources and ALSP cost. AI compresses contract review and eDiscovery 70-80%, threatening hourly-billing economics. The opportunity is upward: matter-based pricing, AI-driven legal-ops services, and proprietary precedent libraries that make clients harder to leave.
Performance benchmarks
How AI-augmented mid-size firms compare against legacy practice on the engagement metrics clients now ask about.
What leading firms are doing
Industry examples from publicly reported initiatives — not Xamun projects.
- ✓ Trained on firm's full matter history
- ✓ Used across A&O's global practice
- ✓ Now licensed by 20+ AmLaw 100 firms
- ✓ Pre-trained models for 1,000+ provisions
- ✓ Used in M&A and real-estate diligence
- ✓ Standard for transactional practice groups
- ✓ Active learning + GenAI summarisation
- ✓ Cuts first-pass review by 80%+
- ✓ Trusted by AmLaw firms and DOJ
- ✓ AI redlines based on playbooks
- ✓ Citation-grounded legal research
- ✓ Reshaping how firms support GCs
The transformation opportunity
What changes when a mid-market firm in this segment deploys AI across the engagement lifecycle.
- ✗ First-pass doc review 200-400 hrs
- ✗ Diligence cycle 3-4 weeks
- ✗ Realisation 82-88%; budget overruns common
- ✗ Matter pricing <10% of revenue
- ✗ Associates burnt out on doc review
- ✗ Client NPS 20-30
- ✓ First-pass doc review 20-40 hrs
- ✓ Diligence cycle 3-5 days
- ✓ Realisation 97%+
- ✓ Matter pricing 50%+ of revenue
- ✓ Associates on substantive work, not coding docs
- ✓ Client NPS 60+
The AI system stack
Built for the privilege, ethical-wall, and confidentiality requirements of legal practice. No public-LLM exposure of client data.
AI-assisted first-pass review for relevance, privilege, and key issues — running in your private cloud or on-prem environment. Audit-trailed.
Auto-extraction across data-room contents — change-of-control, assignment, indemnity, MAC clauses. Associate validates exceptions.
AI redlines and drafts against firm playbooks and client preferences. Cuts associate drafting time without compromising quality.
AI-driven scope, budget, and realisation forecasts at matter intake. Enables fixed-fee, capped, and outcome-based pricing with confidence.
Firm-specific RAG over your prior matters, briefs, and memos. Defensible IP. Senior partners' judgement scaled.
Matter status, budget, and outcome dashboards for GCs. Supports value-based renewal conversations and panel-review evidence.
We build it, run it with your team — and you pay per matter processed.
No upfront CAPEX — we invest the build ourselves. Once it’s live, you pay a small toll per matter intake or document processed the system processes: a small fraction of the value each one creates. A slow month means a small invoice; if it doesn’t run, you don’t pay.
We’re not a vendor shipping software into your operation. For the operation we run, we’re part of your company — in your numbers every week, paid only as they move. Where processed matters aren’t the honest measure, we price it as a fixed project instead; the accountability doesn’t change, only how you pay.
How Xamun delivers
From intelligence to production in weeks. Built as your IP, not someone else's SaaS lock-in.
Benchmarks your engagement-economics, leverage ratio, and outcome posture against AI-augmented leaders. Maps the highest-impact AI plays first.
AI co-pilots, outcome platforms, and proprietary knowledge engines — integrated with your existing systems. Owned by you. Migratable. Defensible IP.
Intelligence assessment in 2 weeks. First module live in 6-8 weeks. Full stack across one practice within 12 weeks. Outcomes tracked from Day 1.
Reposition before AI prices your hours out
Book a discovery call to map where AI can compress doc review and diligence, lift realisation, and reposition your firm from hourly biller to outcome partner — without compromising privilege or quality. No upfront cost — you pay only when the system runs.
Book a Discovery →