Thomson Reuters Law Blog

Highlights

Evidence can be direct, circumstantial, physical, documentary, or expert, and each type is evaluated differently in court. Lawfully obtained, relevant evidence that follows a clear chain of custody is essential to admissibility. Presenting evidence clearly and tying it to legal precedent helps attorneys build convincing, fact-based ...

Highlights

Client expectations have shifted from questioning AI's permissibility to demanding measurable performance and value from outside counsel. Parker Poe scales AI adoption through peer-to-peer sharing, governance, and programs like its firmwide AI Impact Challenge. In-house counsel should evaluate law firms' AI use at the matter level, ...

Highlights

Contract clauses fall into operative, boilerplate, and restrictive categories, each allocating different rights and risks. Well-drafted M&A clauses address sandbagging, MAE, conditions precedent, earnouts, and indemnification caps to limit post-closing disputes. AI drafting tools and clause finders can help translate negotiated ...

Highlights

Law firms with a clear AI strategy report significantly higher satisfaction, yet many still can't execute on it. Shadow AI, strained client relationships, and mid-career talent flight are already costing firms that fall behind on AI execution. Provisioning trusted AI tools, setting outcome-driven goals, and committing to change mana...

In legal work, precision is non-negotiable. Attorneys remain accountable for every output, and even small errors can affect case outcomes. A missed precedent, unsupported argument, or flawed analysis can change the direction of a matter.

That accountability demands a higher standard for artificial intelligence. Thomson Reuters defines this as Fiduciary-Grade AI...