AI for Legal
AI that does the legwork, so your lawyers can practice law.
Faster intake. Faster research. Same standard of care.
We build production AI for law firms and legal teams, from client intake assistants to document review and research tools, with the accuracy and confidentiality legal work requires.
Trusted by firms in regulated, document-heavy work
Why legal is different
In law, a wrong answer costs more than no answer.
Firms can't trade accuracy for speed. Legal AI has to cite its sources, protect privilege, and know when to hand off to a lawyer, or partners will never sign off on it.
Where value is created
In non-billable and low-margin work: intake, conflicts, first-draft research, and document review.
How it gets measured
Intake conversion, hours per matter, write-downs avoided, and attorney time moved to billable work.
What earns partner trust
Accuracy tested on real matters, cited answers, and confidentiality controls that protect privilege.
From strategy to production
AI built for how firms actually work.
Start with one practice group or a firm-wide AI program.
AI Strategy & Governance
Decide where AI belongs in your practice, and the policies to use it safely.
- Practice-area AI opportunity assessment
- Use cases ranked by margin impact
- AI use and confidentiality policies
- Vendor evaluation for legal AI tools
- Attorney and staff training
- Partner-ready AI roadmaps
Production AI Engineering
Custom legal AI tuned to your practice, your documents, and your standards.
- Prospective client intake assistants
- Document review and extraction
- Research assistants grounded in your precedents
- Court filing and docket processing
- Contract analysis and clause comparison
- Practice management system integrations
Measurable outcomes, not theories
Results tested on real cases.
Client result · Family law
92%
Accuracy across real cases for a prospective-client legal assistant
PressW built an AI legal assistant for a large Texas family law firm. It answers prospective clients' questions with guidance tuned by the firm's attorneys and scores 42% better than frontier models.
More client outcomes
42%
Improvement over frontier models on the firm's family law questions
100K+
Court documents processed monthly across 5,000+ form types
90%+
Extraction accuracy in a production court document processing system
200+
Custom workflows delivered
90+
Custom AI software deployments
$100M
Of client value created
Where legal AI stalls
Most legal AI efforts stall in the same four places.
The fix: test on your own matters, keep lawyers in the loop, and start with work that is non-billable today.
Made-up citations
One fabricated case citation is enough for partners to ban a tool.
Privilege and confidentiality
Firms can't risk client data in tools without clear data handling terms.
The billable hour
Time savings that cut billable work meet resistance unless the business case is clear.
Low attorney adoption
Tools that don't fit how lawyers work go unused after the first week.
How it works
From first use case to firm-wide AI in three steps.
Prove value in one practice group, then expand.
- 01
Assess
Review intake, research, and document workflows and pick the use case with the clearest return.
Explore AI Transformation - 02
Build
Ship a tool tested against your own past matters, with attorney review built in.
Explore AI Engineering - 03
Scale and manage
Roll proven tools out to more practice groups and keep accuracy measured over time.
Explore Managed AI
FAQ
Questions law firms ask us.
Don't see your question? Bring it to an intro call.
Spend more time practicing law.
From strategy to production AI: one partner built for legal accuracy and confidentiality.