Legal AI you can put your name behind
How legal professionals are putting AI to work, from real customer results and the software built for legal work to the laws shaping its use and the safeguards that make it trustworthy.
Why this matters
Clients expect more for less
Clients and leadership want faster turnaround and lower costs, and AI is quickly becoming the way legal teams meet that expectation without adding headcount.
Not all AI is built for legal work
General-purpose tools trained on the open web can sound confident and still be wrong, which is a risk no attorney can afford to put in front of a client or a court.
The rules are still being written
Courts, bar associations, and legislators are setting new expectations for how lawyers use AI, so knowing what's required is now part of competent practice.
Customer stories
- The clearest proof of what legal AI can do comes from the firms and legal departments already using it on real matters.
- Results show up in capacity, review time, and outside counsel spend, not just in hours saved on a single task.
Transforming a civil rights litigation law firm with CoCounsel
See how Justly Prudent used CoCounsel and Westlaw AI to achieve 5 times the ROI, double its litigation capacity, and cut discovery time in half.
How a financial services legal team cut review time by 75% with Thomson Reuters Gen AI solutions
CoCounsel empowers Brinks to transform legal workflows and drive impact
CoCounsel transforms medical malpractice casework
Legal AI software
- The right legal AI software is grounded in authoritative legal content and fits the way your team already works, instead of adding another tool to manage.
- Getting lasting value means choosing high-impact use cases, setting guardrails, and measuring results from day one.
Maximizing your AI investment
Get four strategies legal leaders use to turn AI into lasting value, from prioritizing high-impact use cases and building responsible guardrails to scaling adoption and measuring ROI.
Legal AI laws
- From the EU AI Act to new state legislation and court standing orders, the rules for AI are changing fast and vary by jurisdiction.
- Existing ethics rules on competence, confidentiality, and supervision already apply to AI, so lawyers need to know how they translate to everyday use.
Responsible AI use for courts
See how courts are responding to AI hallucinations and what safeguards keep proceedings fair as judges and attorneys adopt AI for research, drafting, and review.
Trust and safety
- Trustworthy legal AI shows its sources, so every answer can be checked against the authority behind it.
- Client data deserves the same protection inside an AI tool as anywhere else in your practice, which makes security and governance part of the buying decision, not an afterthought.
From caution to confidence: How a global financial firm adopted trusted AI in legal
See how a global financial services legal team vetted data handling at every touchpoint and built a governance model to adopt CoCounsel Legal with confidence.
CoCounsel Legal: engineered to work at the level of a senior associate
Fiduciary-Grade AI™ grounded in Westlaw and Practical Law, built to show its sources so you can verify every answer and protect every client.
Have questions? Contact a representative
Frequently asked questions
Legal AI refers to artificial intelligence tools built specifically for legal work, such as research, document review, drafting, and contract analysis.
Unlike general-purpose chatbots, Fiduciary-Grade AI™ draws on authoritative legal content and provides citations so attorneys can verify its output.
Compare and look for answers grounded in authoritative legal sources, transparent citations, strong security and privacy protections, integration with your existing workflows, and a clear way to measure return on investment.
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