Now in its sixth year, Seyfarth’s Commercial Litigation Outlook provides a clear view into the forces reshaping business disputes in 2026. This year’s analysis highlights a risk landscape defined by accelerating technological change, an increasingly fragmented regulatory environment, and growing economic pressures across multiple industries.

According to the Outlook, artificial intelligence is creating new categories of legal risk, from the challenges of authenticating AI‑generated content to navigating the use of algorithmic tools while courts and regulators rapidly reset expectations around emerging technology. At the same time, state‑level regulation continues to expand, particularly around non‑competes, privacy, and biometrics, creating a compliance patchwork that requires businesses to adapt strategies by jurisdiction. Coupled with elevated interest rates, rising debt, and post‑pandemic strain, especially in real estate, health care, and franchise sectors, the commercial litigation environment remains fluid, fast‑moving, and resistant to neat predictions. Against this backdrop, eDiscovery, information governance, and cybersecurity response functions play increasingly central roles in managing litigation risk and staying ahead of shifting expectations.


Authored by Jay Carle, Matthew Christoff, and Danny Riley, this year’s eDiscovery & Innovation article spotlights one of the most significant and fast‑moving risks in the discovery landscape: the rise of AI‑enabled notetaking and meeting‑summarization tools. As generative AI capabilities become embedded directly into videoconferencing platforms, these tools now routinely record meetings, create transcripts with speaker attribution, and auto‑generate summaries—often by default. The result is a sudden proliferation of new, unvetted records that can capture sensitive, strategic, or privileged conversations. The article warns that these tools exponentially increase the risk of inadvertent disclosure, while also creating evidentiary challenges when transcripts or summaries are later used to establish what was said, by whom, and with what intent.

The article also highlights that litigation risk is expanding beyond the developers of these tools to the organizations deploying them. AI notetakers raise overlapping consent, privacy, wiretap, and biometric concerns, and courts will increasingly scrutinize whether companies can demonstrate how meeting data was captured, stored, and controlled. As with prior waves of privacy litigation, the differentiator will be operational discipline: organizations that implement clear governance around meeting recording, restrict distribution of AI‑generated outputs, and define authoritative versions of records will be far better positioned to defend against disclosure missteps, authenticity disputes, and statutory claims.

Click here to download the 2026 Commercial Litigation Outlook.Continue Reading The Changing Discovery Landscape: Takeaways from Seyfarth’s 2026 Commercial Litigation Outlook

When Judge Jed Rakoff ruled in United States v. Heppner (S.D.N.Y. Feb. 17, 2026)  that documents a criminal defendant created through exchanges with Anthropic’s Claude platform weren’t protected by attorney-client privilege or the work product doctrine, the decision generated significant attention across the legal community. Many practitioners read that ruling as a sweeping statement: using

Introduction

Robotics and artificial intelligence are converging at an unprecedented pace. As robotics systems increasingly integrate AI-driven decision-making, businesses are unlocking new efficiencies and capabilities across industries from manufacturing and logistics to healthcare and real estate.

Yet this convergence introduces complex legal and regulatory challenges. Companies deploying AI-enabled robotics must navigate issues related to data privacy, intellectual property, workplace safety, liability, and compliance with emerging AI governance frameworks.

The Shift: Robotics as an AI Subset

Traditionally, robotics was viewed as a standalone discipline focused on mechanical automation. Today, robotics is increasingly powered by machine learning algorithms, natural language processing, and predictive analytics—hallmarks of AI technology.

This evolution raises critical questions for legal teams:

  • Who owns the data generated by AI-enabled robots?
  • How do we allocate liability when autonomous systems make decisions without human intervention?
  • What contractual safeguards should be in place when outsourcing robotics solutions to third-party vendors?

As robotics increasingly incorporates AI functionality, traditional contract structures for hardware procurement and service agreements require significant updates. This evolution introduces new risk categories that must be addressed through precise drafting and negotiation.Continue Reading The AI-Driven Evolution of Robotics

Seyfarth Shaw is proud to sponsor the 2025 Masters Conference, a premier boutique legal event hosted in cities across the U.S., as well as in Toronto and London. The conference will be held on Tuesday, May 20, 2025, at Seyfarth’s Chicago office and will feature keynote presentations, panel discussions, workshops, and networking opportunities.

Topics will include eDiscovery, Artificial Intelligence, Information and Data Governance, Legal Project Management, Forensics and Investigations, Knowledge Management, and Cybersecurity.

Seyfarth partners Jay Carle, Matthew Christoff, and Jason Priebe will share their insights as featured panelists throughout the day. Additional information about their panel topics is outlined below.

For more information and to register, click here.Continue Reading Seyfarth to Sponsor and Present at 2025 Masters Conference

On Wednesday, March 20, Seyfarth attorneys Rebecca Woods, Owen Wolfe, Lauren Leipold, and Puya Partow-Navid will present and Ken Wilton will moderate, the first session of the 2024 Commercial Litigation Outlook webinar series: Charting the Course: AI’s Influence on Legal Practice and IP Protection.

Time of the event:
1:00 p.m.

Seyfarth Synopsis: Federal judges are requiring attorneys to attest as to whether they have used generative artificial intelligence (AI) in court filings, and if so, how and in what manner it was used. These court orders come just days after two New York attorneys filed a motion in which ChatGPT provided citations to non-existent caselaw

You may have recently seen press reports about lawyers who filed and submitted papers to the federal district court for the Southern District of New York that included citations to cases and decisions that, as it turned out, were wholly made up; they did not exist.  The lawyers in that case used the generative artificial