We design and build AI systems for law firms, in-house teams, and legal services businesses. Across our team we hold qualifications in law and computer science — we understand the trust threshold required to deploy AI in legal contexts.
Errors carry professional liability. Clients expect confidentiality, accuracy, and human judgement. Most AI vendors don’t understand these constraints — they build generic tools and expect lawyers to adapt. The result is either over-cautious rejection of AI or under-governed adoption that creates liability.
Professional duty obligations (SRA, Bar Standards) that constrain how AI can be used in legal practice
Confidentiality requirements that limit what data can be sent to third-party AI providers
The hallucination problem — particularly dangerous in legal contexts where fabricated citations can destroy credibility and create liability
Lawyers who are interested in AI but don’t trust generic tech vendors to understand their constraints
LegalTech startups that have built AI features fast but without the governance that legal buyers expect
AI systems that can analyse, summarise, compare, and extract from legal documents with measurable accuracy and audit trails.
Agentic systems that assist with case research, statute analysis, and precedent identification — with guardrails against hallucination and fabrication.
Intelligent automation of routine legal processes (intake, triage, document assembly, compliance checks) with human oversight at decision points.
AI-powered search and retrieval across internal knowledge bases, precedent banks, and document stores.
AI governance frameworks designed specifically for legal professional obligations.
Automated quality assessment for legal AI outputs, including accuracy, completeness, and citation verification.
Unlike generic AI consultancies, our team combines law qualifications with senior engineering leadership experience. We've spent decades building production software systems and some of our leadership team have led and transformed LegalTech companies. We understand professional duty constraints, not just technology constraints.
Law firms exploring AI for document review, legal research, client intake, or knowledge management
In-house legal teams looking to scale capability without scaling headcount
LegalTech companies building AI-native products for the legal market who need architecture, governance, or evaluation expertise
Legal services businesses (e-discovery, managed review, compliance providers) integrating AI into service delivery
Whether you are a law firm, in-house team, or LegalTech company — let’s discuss how AI can work within your professional constraints, not despite them.