Ameut is a research and product company. We're building a future where every firm from boutique practices to global banks—can extract, verify, and act on legal and financial knowledge with the speed of software and the judgement of seasoned experts.
While generative AI has advanced dramatically, key gaps remain. Understanding of domain-specific frontier systems lags behind soaring capabilities. Knowledge of how these models learn statutes, precedents, and regulations is confined to a handful of labs, limiting public discourse and practical adoption. And despite their promise, today's models are still hard to align with each organisation's unique workflows, risk appetite, and values.
To bridge these gaps, we're building ameut to make legal-domain AI systems more transparent, customisable, and broadly capable.
We are researchers, data scientists, and engineers who have shipped mission-critical software in our past.
From Research to Results
Scientific progress is a collective effort. We invest deeply in R&D so that every insight lands where it matters: in your contracts, due diligence, and compliance workflows. Our work stays tightly integrated with product, ensuring breakthroughs instantly translate into business value.
Collaborative Intelligence
Emphasis on human-AI collaboration. Rather than chase fully autonomous agents, we develop multimodal systems that partner with professionals—respecting domain language and institutional knowledge.
More flexible, adaptable, and personalised AI systems. Current models excel at code and math; we're pushing them to master statutory reasoning, deal-room nuance, and compliance logic across jurisdictions.
Solid foundations matter
Model intelligence as the cornerstone. Our methodology is built on rigorous legal and domain expertise. We meticulously curate and refine every dataset-drawing on precedents, regulatory archives, and real-world case studies to ensure that our insights reflect the highest standards of accuracy and relevancy.
Infrastructure quality as a top priority. Every feature undergoes thorough validation in close partnership with seasoned practitioners. Through iterative pilot engagements, we test our solutions against actual workflows-identifying edge cases, uncovering hidden risks, and continuously sharpening performance to meet both client expectations and compliance requirements.
Above all, we hold ourselves to strict quality controls and ethical guidelines. From fairness assessments to audit-ready reporting, our commitment to transparency and accountability guarantees that you can trust each recommendation, analysis, and alert as a dependable extension of your own legal team.
Learning by doing
Research and product co-design. Deployments create feedback loops; great products and great research reinforce each other.
Empirical and iterative approach to AI safety. We maintain a high safety bar—preventing misuse while maximising user freedom—and share best practices, red-teaming playbooks, and post-deployment monitoring recipes with the industry.
Measure what truly matters. We track time-to-insight and risk-reduction over synthetic benchmarks, ensuring our systems deliver genuine value in production.
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