Legal Fee Disputes: Using AI/Data Analytics As A Sword Or Shield

Commercial litigation is a multifaceted area of law commonly involving high-stakes disputes. In addition to monetary damages, the parties also must consider legal fees. Sometimes, the losing side may have to pay the winner’s legal fees. The losing party may argue that the fees are unreasonable (too high), while the winning side must prove that the fees were necessary and reasonable.

Legal Decoder (LD) has developed a case study showing how counsel defended its client in a fee shifting case from an AMLaw 200 firm. The AmLaw 200 law firm sought to recover over a million dollars (including costs and interest) for its work on a routine discovery motion. Opposing Counsel intuitively felt the amount sought to be recovered was roughly five times higher than reasonable and did not want its client to have to pay the AmLaw 200 firm’s unreasonably high bill. To bolster their case, the opposing counsel turned to Legal Decoder, leveraging its expertise and technology in fee analysis.

Legal Decoder's data analytics tools provided the opposing counsel with a compelling edge in their argument before the court, substantiating their stance that the fees were not reasonable.

Legal Decoder’s data analytics software tools have been regularly used before courts or other adjudicative bodies to evaluate billions in legal fees for “reasonableness” under the prevailing law. LD’s data analytics allow a party to persuasively show a court that fees are reasonable or unreasonable, based on an industry-accepted data analytic tools and empirical evidence.

To delve deeper into this case and gain valuable insights, you can download the complete case study here.