Hecker Fink, the litigation boutique known for high-stakes disputes, is putting Perplexity AI through rigorous testing. The firm's co-founder confirmed the evaluation, which focuses on a recently launched agentic AI tool built specifically for legal work. The goal: understand whether the system can handle the demands of complex case preparation and research while standing up to the scrutiny of practicing litigators.
Agentic capabilities under the microscope
Unlike earlier legal AI assistants that relied on single-turn prompting, Perplexity's new offering can execute multi-step tasks independently. It retrieves case law, checks subsequent history, and synthesizes findings into memos without constant human nudging. Hecker Fink's co-founder said the firm wanted to see how that autonomy performed against real litigation workflows.
"We're not interested in tools that just speed up rote work. We want to see whether an agent can meaningfully reduce the cognitive load on associates during the early phases of a case," the co-founder said. The testing involves uploading actual motions and asking the system to identify missing authorities, flag logical gaps, and suggest counterarguments.
Where Perplexity AI fits among rivals
Comparisons to CoCounsel, Harvey, and other legal AI offerings were inevitable. The co-founder noted that Perplexity's citation accuracy and source transparency gave it an edge in certain research tasks, though other tools outperformed it on contract analysis. "The legal market is fragmenting by use case," he said. "No single product dominates every category."
The firm's early takeaway: Perplexity's agentic model holds promise for trial preparation, but it requires careful tuning to avoid overreliance on its reasoning. Associates still need to verify every output, especially when the tool surfaces decisions from non-binding jurisdictions.
Workflow integration and training
Adopting any AI tool in a litigation practice raises questions about data security, privilege, and training. Hecker Fink ran the tool within a walled-off environment, with attorneys reviewing all outputs before any client-facing use. The co-founder emphasized that the technology is not a substitute for judgment but an accelerant for routine analytical steps.
As more firms run similar evaluations, demand for structured education grows. Legal professionals can find targeted training through Perplexity AI Courses that cover practical applications and limitations. Broader guidance on integrating these tools into daily practice is available in AI for Legal resources.
Why this matters for legal professionals
A litigation boutique testing agentic AI signals that the technology is no longer confined to big-firm innovation labs. The practical question for lawyers is shifting from "can AI help?" to "which tasks should we hand off?" Hecker Fink's deliberate approach-evaluating the tool against actual casework, not demos-sets a standard for how serious firms should assess these products before they reach the attorneys who will use them.
Your membership also unlocks:
